OBJECTIVES: Although there is some evidence that flood exposure in Bangladesh and other developing countries increases the risk of chronic undernutrition in children, the underlying mechanisms are, to our knowledge, unknown. The objectives of this research are to examine the association between recurrent flood exposure and the likelihood of chronic undernutrition in children and to investigate the mediators of this association. METHODS: This cross-sectional study was conducted in the Naogaon District in northern Bangladesh. Purposive sampling was used to choose 800 children between the ages of 12 and 59 mo in equal numbers in the specified flood-affected and flood-unaffected areas: 400 children from the flood-affected area and 400 from the flood-unaffected area. The nutrition indicator height for age, expressed as z scores, was used to define child chronic undernutrition. Our study focused on children who have been exposed to multiple floods in the past 5 y. RESULTS: In our sample data, children who had experienced flooding had a 1.74-times higher chance of having chronic undernutrition (95% CI, 1.53-2.28) than children who had not experienced flooding. The mediation analyses found inadequate minimum dietary diversity, history of diarrhea, not being fully vaccinated, not using clean cooking fuel, and not having a separate kitchen contributed 19.5%, 10%, 9.8%, 14.8%, and 10%, respectively, to the flood exposure-child undernutrition association. CONCLUSIONS: Flood exposure was found associated with the likelihood of child chronic undernutrition, and this relationship was mediated through lack of having a separate kitchen, history of diarrhea, insufficient vaccination, use of unclean cooking fuel, and poor minimum dietary diversity. Interventions to reduce the prevalence of these risk factors could contribute to reducing the disparities in child undernourishment brought on by exposure to flooding.
In this article, I examine the assumptions underlying the idea of women as vulnerable and at risk, and how this understanding contributes to shaping practices of climate change adaptation. The article is based on ethnographic fieldwork in the expert community in Dhaka and in a climate change adaptation field site in coastal Bangladesh. Following Ananya Roy’s work, I understand coastal Bangladesh to be a riskscape, a geographical space suffused with imaginations of anticipated risks that must be managed through disaster risk reduction and climate change adaptation. Roy further argues that riskscapes create new subjects of risk, and that such subjects are highly gendered because development has tended to focus on poor women ‘in very specific ways’. In this article, I build on Roy’s insights to explore how women are constructed as ‘subjects of risk’ in climate change adaptation. I also show how climate change adaptation, in becoming the new buzzword for development, continues to focus on poor women in very specific ways, which are applied to fit with the climate change ‘metacode’. While well-intended, the understanding of women as subjects of risk is imbued with ambivalence, because it may contribute to supporting structures that make women vulnerable by normalizing relations of risk.
BACKGROUND: There is a paucity of resources focusing on the climate change experience of readymade garment (RMG) workers in developing countries such as Bangladesh. Therefore, this mixed method approach aims to understand the distinctive types of climate change experiences from a health and occupational perspective, along with the consequences of these changes among RMG workers in Bangladesh. METHODS: The study was conducted from January 2022 and February 2022 where the quantitative data were collected from 200 RMG workers in 10 randomly selected garments and two focus group discussions took place with 20 conveniently selected RMG workers. The key informants were relevant stakeholders in the industry. Quantitative findings were reported using descriptive methods and qualitative findings were analysed using a content analysis approach. RESULT: A total of 200 RMG workers were included in the study of which the majority belonged to the age group of 26-30 years (44%), were male (55%), worked in a compliant factory (70%), and were machine operators (79%). Half of the respondents experienced damage from natural disasters (51%), but only approximately 37% received humanitarian help. Migration and urbanisation were among the aftermath of the damage caused by e natural disasters, and 42% were forced to shift their homes due to natural disasters. Competition in the job market increased, and the owners had the opportunity to take on employees at a reduced salary. The respondents flagged climate change as a major contributor to their disease patterns. More than three-quarters of the respondents became sick because of increased heat while working; however, only half received any treatment. CONCLUSION: Employee participation in hazard recognition, employer preparedness, prevention through design, research, surveillance, and upholding workplace ethics and standards can be the answers to climate change problems for readymade garment workers.
The link between population dynamics and climate-related severe events is complicated. Extreme weather events (EWEs), along with other factors such as socioeconomic and cultural factors, influence population dynamics, particularly changes in fertility, mortality, and migration. This study focuses solely on the fertility aspect of climate change and aims to investigate it in Bangladesh, which is extremely sensitive to climate change and EWEs such as floods, cyclones, and droughts. On a regular basis, the country is confronted with a number of EWEs. The current study examines how different types of extreme weather events affect vulnerable people’s decisions to have children or to prefer children of a certain gender. People who reside in a particular area may be more vulnerable to particular EWE types, which may result in different preferences for fertility and gender. This study employed individual-level data from three places (flood-prone, drought-prone, and cyclone-prone), each exposed to a distinct hazard, to address this issue, and collected pertinent information from 177 respondents in the susceptible areas using a survey questionnaire. The quantitative results show that the gender of the first child, the perceived risk of infant death due to EWE, the opinion on having more children to recover from the damage and losses caused by EWE, government and non-governmental organization (NGO) support during EWE, and the intended timing of child bearing (after or before EWE) are all significant factors influencing fertility preferences and gender preferences. The findings also indicate that the three regions under investigation have statistically distinct preferences for fertility and gender. There were larger differences between flood-prone areas and drought- and cyclone-prone areas. The complex issue of variations due to different EWEs requires more in-depth studies with larger samples and different methodological techniques.
PurposeEvaluating the economic effects of climate change is a pivotal step for planning adaptation in developing countries. For Bangladesh, global warming has put it among the most vulnerable countries in the world to climate change, with increasing temperatures and sea-level rise. Hence, the purpose of this paper is to examine how climate change impacts the economy in Bangladesh in the case of climate scenarios. Design/methodology/approachUsing a dynamic computable general equilibrium (CGE) model and three climate change scenarios, this paper assesses the economy-wide implications of climate change on Bangladesh’s economy and agriculture. It is clear from the examination of the CGE model that the impacts of climate change on agricultural sectors were felt more sharply, reducing output by -3.25% and -3.70%, respectively, and increasing imports by 1.22% and 1.53% in 2030 and 2050, compared to the baseline. FindingsThe findings reveal that, relative to baseline, agricultural output will decline by a range of -3.1% to -3.6% under the high climate scenario (higher temperatures and lower yields). A decrease in agricultural output results in declines in agricultural labor and household income. Household income falls in all categories, although it drops the most in urban less educated households with a range of -3.1% to -3.4%. On the other hand, consumption of commodities will fall by -0.11% to -0.13%, according to the findings. Although climate change impacts had a relatively small effect on gross domestic product, reducing it by -0.059% and -0.098% in 2030 and 2050, respectively. Practical implicationsAs agricultural output, household consumption and income decline, it will impact the majority of the population’s health in Bangladesh by increasing malnutrition, hidden hunger, poverty, changing food environment, changing physical and mental health status and a changing health-care environment. Therefore, population health and food security will be a top socioeconomic and political concern for Bangladesh Government. Originality/valueThe examination of the dynamic CGE model is its originality. In conclusion, the evidence generated here can provide important information to policymakers and guide government policies that contribute to national development and the achievement of food security targets. It is also necessary to put more emphasis on climate change issues and address potential risks in the following years.
This study focuses on investigating the impact of climate change on the availability of safe drinking water and human health in the Southwest Coastal Region of Bangladesh (SWCRB). Additionally, it explores local adaptation approaches aimed at addressing these challenges. The research employed a combination of qualitative and quantitative methods to gather data. Qualitative data were collected through various means such as case studies, workshops, focus group discussions (FGDs), interviews, and key informant interviews (KIIs). The study specifically collected qualitative data from 12 unions in the Shyamnagar Upazila. On the other hand, through the quantitative method, we collected respondents’ answers through a closed-ended questionnaire survey from 320 respondents from nine unions in the first phase of this study. In the next phase, we also collected data from the three most vulnerable unions of Shyamnagar Upazila, namely Poddo Pukur, Gabura, and Burigoalini, where 1579 respondents answered questions regarding safe drinking water and health conditions due to climate change. The findings of the study indicate that local communities in the region acknowledge the significant impact of sea-level rise (SLR) on freshwater sources and overall well-being, primarily due to increased salinity. Over 70% of the respondents identified gastrointestinal issues, hypertension, diarrhea, malnutrition, and skin diseases as major waterborne health risks arising from salinity and lack of access to safe water. Among the vulnerable groups, women and children were found to be particularly susceptible to waterborne diseases related to salinity. While the study highlights the presence of certain adaptation measures against health-related problems, such as community clinics and health centers at the upazila level, as well as seeking healthcare from local and paramedical doctors, it notes that these measures are insufficient. In terms of safe drinking water, communities have adopted various adaptation strategies, including pond excavation to remove saline water (partially making it potable), implementing pond sand filters, rainwater harvesting, and obtaining potable water from alternative sources. However, these efforts alone do not fully address the challenges associated with ensuring safe drinking water.
Bangladesh reported the highest number of annual deaths (n = 281) related to dengue virus infection in 2022 since the virus reappeared in the country in 2000. Earlier studies showed that >92% of the annual cases occurred between the months of August and September. The 2022 outbreak is characterized by late onset of dengue cases with unusually higher deaths in colder months, that is, October-December. Here we present possible hypotheses and explanations for this late resurgence of dengue cases. First, in 2022, the rainfall started late in the season. Compared to the monthly average rainfall for September and October between 2003 and 2021, there was 137 mm of additional monthly rainfall recorded in September and October 2022. Furthermore, the year 2022 was relatively warmer with a 0.71°C increased temperature than the mean annual temperature of the past 20 yr. Second, a new dengue virus serotype, DENV-4, had recently reintroduced/reappeared in 2022 and become the dominant serotype in the country for a large naïve population. Third, the post-pandemic return of normalcy after 2 yr of nonpharmaceutical social measures facilitates extra mosquito breeding habitats, especially in construction sites. Community engagement and regular monitoring and destruction of Aedes mosquitoes’ habitats should be prioritized to control dengue virus outbreaks in Bangladesh.
The south-western coastal zone of Bangladesh is suffering from an acute crisis of freshwater due to salinity intrusion. The extent of the problem and its causes in detail were investigated in the first place. Climate change along with a few other anthropogenic impacts are the main causes. Exploring technologies for adaptation to climate change has been emphasized nowadays to overcome the problem of climate change impact. The coastal community was found to be already adopting technological measures as an adaptation means. This study developed a detailed inventory of all the available indigenous water supply technology options along the region and categorized them. An analysis of the suitability of the technologies was done focusing on the factors like state of the technology, convenience in operation, quantity and quality of the supplied water, as well as financial viability or management practice. Both qualitative and quantitative approaches to the study were adopted to collect and analyze the data through extensive field visits, laboratory testing, and secondary data analysis. It is found that in most cases, solutions are on an ad hoc basis, having a lifetime of less than 5 years. In some places, people are gradually moving towards community-based and long-term hi-tech solutions.
Farming in coastal areas has unique challenges as climate change threatens coastal people’s livelihoods and food security. Therefore, household food security remains a major concern, especially in Bangladesh’s climate-sensitive coastal districts. This study compared the food security status and identified the factors influencing households’ food security in the exposed and interior coasts of Bangladesh. A total of 750 households (exposed coast: 375 and interior coast: 375) were surveyed from six coastal areas. The Food Consumption Score (FCS), descriptive statistics, and a set of econometric models were used to achieve the objectives. Around 20% of households in the exposed coast were in the borderline category of FCS. The FCS of the interior coast households was significantly higher than the exposed coast households. The analysis results revealed that a 1 USD increase in the price of rice per kg would decrease the likelihood of being in the food secure category by more than 40%. Households who engaged in homestead gardening had a 4.30% and 9.15% higher likelihood of being in the food secure category in the interior and exposed coasts, respectively. Access to credit increased the likelihood of being in the food secure category by 7.15% in the exposed coast area. Economic status-related factors, such as higher farm and non-farm incomes, also increased the likelihood of being food secure in both coastal areas. To improve the household-level food security in coastal areas, location-specific sustainable farming practices, non-farm employment opportunities, rice price stabilization, agricultural training, and capital availability are warranted.
The frequency and intensity of climate change and resulting impacts are more prevalent in South Asian countries, particularly in Bangladesh. Relative humidity (RH) is a crucial aspect of climate, and higher RH variability has far-reaching impacts on human health, agriculture, environment, and infrastructure. While temperature and rainfall have gained much research attention, RH studies have received scant attention in the research literature. This study investigated the trends and variability of RH levels in Bangladesh and the influence of other meteorological factors over the past 40 years. Variabilities in the meteorological factors were identified by calculating descriptive statistics. Innovative trend analysis (ITA) and Mann-Kendall test (MK-test) methods were utilized to assess monthly, seasonal, and annual trends. The magnitude of temperature, rainfall, and windspeed influences on RH variability were identified using Pearson’s correlation, Spearman rank correlation, and Kendall correlation model. Variability analysis showed higher spatial variations in RH levels across the country, and RH skewed negatively in all stations. Results reveal that daily, monthly, seasonal, and annual trends of RH exhibited positive trends in all stations, with an increasing rate of 0.083-0.53% per year in summer, 0.43-0.68% per year in winter, and 0.58-0.31% per year in the rainy season. Both ITA and MK-test provided consistent results, indicating no discrepancies in trend results. All three models indicate that temperature, rainfall, and windspeed have weak to moderate positive influences on changing RH levels in Bangladesh. The study will contribute to decision-making to improve crop yields, health outcomes, and infrastructure efficiency.
BackgroundLymphatic filariasis (LF) is a vector-borne parasitic disease which affects 70 million people worldwide and causes life-long disabilities. In Bangladesh, there are an estimated 44,000 people suffering from clinical conditions such as lymphoedema and hydrocoele, with the greatest burden in the northern Rangpur division. To better understand the factors associated with this distribution, this study examined socio-economic and environmental factors at division, district, and sub-district levels. MethodologyA retrospective ecological study was conducted using key socio-economic (nutrition, poverty, employment, education, house infrastructure) and environmental (temperature, precipitation, elevation, waterway) factors. Characteristics at division level were summarised. Bivariate analysis using Spearman’s rank correlation coefficient was conducted at district and sub-district levels, and negative binomial regression analyses were conducted across high endemic sub-districts (n = 132). Maps were produced of high endemic sub-districts to visually illustrate the socio-economic and environmental factors found to be significant. ResultsThe highest proportion of rural population (86.8%), poverty (42.0%), tube well water (85.4%), and primary employment in agriculture (67.7%) was found in Rangpur division.Spearman’s rank correlation coefficient at district and sub-district level show that LF morbidity prevalence was significantly (p<0.05) positively correlated with households without electricity (district r(s) = 0.818; sub-district r(s) = 0.559), households with tube well water (sub-district r(s) = 0.291), households without toilet (district r(s) = 0.504; sub-district r(s) = 0.40), mean annual precipitation (district r(s) = 0.695; sub-district r(s) = 0.503), mean precipitation of wettest quarter (district r(s) = 0.707; sub-district r(s) = 0.528), and significantly negatively correlated with severely stunted children (district r(s) = -0.723; sub-district r(s) = -0.370), mean annual temperature (district r(s) = -0.633.; sub-district r(s) = 0.353) and mean temperature (wettest quarter) ((district r(s) = -0.598; sub-district r(s) = 0.316)Negative binomial regression analyses at sub-district level found severely stunted children (p = <0.001), rural population (p = 0.002), poverty headcount (p = 0.001), primary employment in agriculture (p = 0.018), households without toilet (p = <0.001), households without electricity (p = 0.002) and mean temperature (wettest quarter) (p = 0.045) to be significant. ConclusionsThis study highlights the value of using available data to identify key drivers associated with high LF morbidity prevalence, which may help national LF programmes better identify populations at risk and implement timely and targeted public health messages and intervention strategies. Author summaryLymphatic Filariasis (LF) is particularly associated with poverty and living in a rural area, where disease transmitting mosquito vectors thrive. To better understand the socio-economic and environmental factors associated with the LF morbidity prevalence distribution in Bangladesh, this study examined publicly available data and used descriptive, statistical, and mapping methods to highlight key associations. Results found that high risk populations were those living in rural areas, employed in agriculture, with high levels of poverty, and houses without electricity or toilets, and where temperatures in the rainy season were lower than other regions of the country. These findings will help to inform public health messages and implement interventions for people affected by LF morbidity, but also to help reduce any current and future risk of transmission. This will support progress to achieving WHO elimination targets, leading to a future free of suffering for people affected by LF associated morbidity.
The aim of this study was to estimate the effects of climate on childhood diarrhoea hospitalisations across six administrative divisions in Bangladesh and to provide scientific evidence for local health authorities for disease control and prevention. Fortnightly hospital admissions (August/2013-June/2017) for diarrhoea in children under five years of age, and fortnightly average maximum temperature, relative humidity and rainfall recordings for six administrative divisions were modelled using negative binomial regression with distributed lag linear terms. Flexible spline functions were used to adjust models for seasonality and long-term trends. During the study period, 25,385 diarrhoea cases were hospitalised. Overall, each 1 °C rise in maximum temperature increased diarrhoea hospitalisations by 4.6% (IRR = 1.046; 95% CI, 1.007-1.088) after adjusting for seasonality and long-term trends in the unlagged model. Using lagged effects of maximum temperature, and adjusting for relative humidity and rainfall for each of the six administrative divisions, the relationship between maximum temperature and diarrhoea hospitalisations varied between divisions, with positive and negative effect estimates. The temperature-diarrhoea association may be confounded by seasonality and long-term trends. Our findings are a reminder that the effects of climate change may be heterogeneous across regions, and that tailored diarrhoea prevention strategies need to consider region-specific recommendations rather than relying on generic guidelines.
We aim to explore the seasonal influences of meteorological factors on COVID-19 era over two distinct locations in Bangladesh using a generalized linear model (GLM) and wavelet analysis. GLM model findings show that summer humidity drives COVID-19 transmission to coastal and inland locations. During the summer in the coastal area, a 1 degrees C earth’s skin temperature increase causes a 41.9% increase in COVID (95% CL 86.32%-2.54%) transmission compared to inland. Relative humidity was recorded as the highest at 73.97% (95% CL, 99.3%, and 48.63%) for the coastal region, while wind speed and precipitation reduced confirmed cases by -38.62% and -22.15%, respectively. Wavelet analysis showed that coastal meteorological parameters were more coherent with COVID-19 than inland ones. The outcomes of this study are consistent with subtropical climate regions. Seasonality and climatic similarity should address to estimate COVID-19 trends. High societal concern and strong public health measures may decrease meteorological effect on COVID-19.
Diabetes is a serious public health issue in developing countries, particularly in urban regions. Heat exposure, measured by residential area land surface temperature (LST), may contribute to the risk of diabetes among urban dwellers due to rapid urbanisation and climate change. This might be useful to predict urban diabetes risk. However, this relationship has not been thoroughly assessed in developing countries. Additionally, residential area greenery may mitigate the detrimental effects of high LST. This study examines the association between residential area LST and diabetes among adults (aged & GE; 18 years) in urban regions of Bangladesh and whether residential area greenness modifies the association. Study data were derived from the latest Bangladesh Demographic and Health Survey 2017-2018, and survey cluster-level LST and enhanced vegetation index (i.e. greenness) were used to define residential area-level environmental features. A binary logistic regression was used to estimate the association, and stratified analysis was performed to examine the effect modification role of greenness. Living in areas with a greater LST increased the odds of having diabetes (AOR 1.23, 95% CI 1.01-1.50, p value = 0.035), whereas residing in areas with greater greenness decreased the odds of having diabetes (AOR 0.07, 95% CI 0.01-0.88, p value = 0.039). The effect of LST on diabetes was more pronounced in adults who lived in urban areas with less greenery (AOR 1.31, 95% CI 1.01-1.71, p value = 0.048). This evidence has significant ramifications for local communities, and the improvement of green infrastructure may reduce heat exposure-related health risks in the context of climate change and urbanisation.
The ready-made garment industry is critical to the Bangladesh economy. There is an urgent need to improve current working conditions and build capacity for heat mitigation as conditions worsen due to climate change. We modelled a typical, mid-sized, non-air-conditioned factory in Bangladesh and simulated how the indoor thermal environment is altered by four rooftop retrofits (1. extensive green roof, 2. rooftop shading, 3. white cool roof, 4. insulated white cool roof) on present-day and future decades under different climate scenarios. Simulations showed that all strategies reduce indoor air temperatures by around 2 °C on average and reduce the number of present-day annual work-hours during which wetbulb globe temperature exceeds the standardised limits for moderate work rates by up to 603 h – the equivalent of 75 (8 h) working days per year. By 2050 under a high-emissions scenario, indoor conditions with a rooftop intervention are comparable to present-day conditions. To reduce the growing need for carbon-intensive air-conditioning, sustainable heat mitigation strategies need to be incorporated into a wider range of solutions at the individual, building, and urban level. The results presented here have implications for factory planning and retrofit design, and may inform policies targeting worker health, well-being, and productivity.
Climate change adaptation has become a more serious issue to vulnerable countries like Bangladesh. The study areas, as one of the important food baskets of the country, has been experiencing wide-ranging extreme event (flood, riverbank erosion, cold wave, less and erratic rainfall, and prolonged droughts). Here severe affected sectors are agriculture; fisheries; livestock; housing; and drinking water, sanitation and public health. Through participatory Multi-Criteria Analysis (MCA), the adaptation strategies were prioritized based on the overall preferences of multiple stakeholder opinions at different level (community/village, upazila/sub-district, and district/regional level). Therefore, using MCA methods of the study areas helped their ideas from different level actors/stakeholders to improve the adaptation strategy, practices and drivers leading to vulnerability. The study found that most priority of adaptation measures of different sector i. e Agriculture; Fisheries; Livestock; Housing; and Drinking Water, Sanitation and Health sector; are Maize, and Sathi Fosol (mixed and relay culture); Livelihood Diversification; Adhi system (shared rearing of livestock); Rising plinth level, and Solar energy, and Ensure safe drinking water, and Enhance health facility and community clinic activities, respectively. The various mechanisms for coping and adaptation practices of different communities were identified in this study. The study suggests further support from the government. Study recommends a combination of the local and scientific knowledge, allocation of resources to the poor, techno-logical transfer and innovative adaptation approaches for Bangladesh.
This study reviews the progress of disaster mitigation measures against tropical cyclones (TCs) in three Asian countries with different historical, social, and economic backgrounds: Bangladesh, Vietnam, and Japan. In Bangladesh, an average of 6,600 people was killed by a single TC in the 1960s, but this number had decreased to 30 in the 2010s; this reduction was due to a clear improvement in soft measures, such as weather forecasting, warning systems, and mass evacuation coordinated by volunteers. In Vietnam, several strong TCs have recently made landfall, leading to improvements in national disaster management. Although Vietnam’s current disaster management budget is smaller than those of the two other countries, large-scale evacuation by local authorities is believed to have minimized casualties. In Japan, shortly after Typhoon Vera in 1959, a comprehensive law on disaster prevention was enacted, and coastal dikes were constructed nationwide, resulting in a considerable reduction in fatalities due to TCs. However, the disaster prevention facilities built in this period are now deteriorating, while Japan’s budget for disaster management is projected to be decreasing. The three countries have advanced their disaster preparedness in response to past TCs and storm surges, but new challenges have also arisen.
The consequences of climate change, food security, and self-sufficiency goals are driving excessive human activity onto vegetable farms in Bangladesh, and harmful heavy metal exposure is spreading. So, the study assessed the toxic metals (Pb, Cd, and Cr) exposure, characteristics, and human health risk regarding the soil-vegetable system of two distinct locations in Bangladesh using atomic absorption spectrometry. The average concentration of metals in soil and fertilizer/pesticide samples followed the same order (Cr > Pb > Cd), but for vegetable samples, the order was Pb > Cr > Cd, with some extra Pb compared to the World Health Organization (WHO) allowable limit (0.3 mg/kg). Low levels of pollution with negligible ecological concerns were predicted for both locations by the soil quality indexing. But industrial influence boosted the Pb content in location B, and common sources (fertilizer/pesticide) for both locations might be responsible for a moderate level of Cd. The toxic metals transferred to vegetables followed the trend of Cd > Pb > Cr. However, the human health risks arising from harmful metals exposure at both locations were ineffective (< 1) in evaluating noncarcinogenic risk patterns through the target hazard quotient (THQ), total THQ, and hazard index (HI). Again, considering probable carcinogenic risk patterns, vegetable consumption with studied exposure levels of toxic metals followed within the acceptable range (between 1.0E-04 and 1.0E-06). Overall, location B is slightly more vulnerable than location A by considering metal exposure, pollution distribution, and risk evaluation in the study area (significant at p < 0.05). So, systematic monitoring and protective measures are required to ensure food safety and sustainable vegetable production.
BACKGROUND: Secondary cities tend to be better linked with local food systems than primate cities, acting as important platforms to trade agricultural produce with rural surrounding. COVID-19, conflicts and climate change continue to expose inefficiencies in food systems and have further exacerbated malnutrition, calling for substantial food systems transformations. However, tackling current food systems’ challenges requires new approaches to ensure food and nutrition security. Nutritious and agroecologically produced food offer the potential to transform food systems by improving diets and alleviating pressure on the environment, as well as by creating jobs and reducing poverty. This paper describes the design of a project by a Swiss public-private consortium to improve food and nutrition security and to reduce poverty in city ecosystems in six secondary cities in Bangladesh, Kenya and Rwanda through governance/policy and supply and demand side interventions. METHODS: The Nutrition in City Ecosystems (NICE) project promotes well-balanced nutrition for city populations through interdisciplinary agricultural, food, and health sector collaborations along city-specific value chains. Adopting a transdiciplinary systems approach, the main interventions of NICE are (i) advocacy and policy dialogue, (ii) building of decentralized institutional capacity in multi-sectoral collaborations, (iii) support of data-driven planning, coordination and resource mobilization, (iv) anchoring of innovations and new approaches in city-level partnerships, (v) capacity building in the agricultural, retail, health and education sectors, as well as (vi) evidence generation from putting policies into practice at the local level. NICE is coordinated by in-country partners and local offices of the Swiss public-private consortium partners. DISCUSSION: The NICE project seeks to contribute to urban food system resilience and enhanced sustainable nutrition for city populations by (A) strengthening urban governance structures involving key stakeholders including women and youth, (B) generating income for producers along the supply chain, (C) triggering change in producers’ and consumers’ behavior such that nutritious and agroecologically produced foods are both in demand as well as available and affordable in urban markets, and (D) allowing a scale up of successful approaches to other national and international cities and city networks.
INTRODUCTION: Like many low- and middle-income countries, understanding the nutritional status of the young population in Bangladesh has had less attention. With projected climate change and associated sea level rise, the existing problem of salinity in coastal Bangladesh will significantly increase and further worsen agrobiodiversity. This research aimed to examine the nutritional status of a young population in climate-vulnerable coastal Bangladesh to inform appropriate intervention strategies to reduce the burden on health and economic outcomes. METHODS: A cross-sectional survey was conducted in 2014, and anthropometric measures were conducted for 309 young people aged 19-25 years in a rural saline-prone subdistrict in southwestern coastal Bangladesh. Body mass index (BMI) was calculated from body height and weight, and data about socio-demographic factors were collected. To identify the socio-demographic risk factors affecting undernutrition (BMI <18.5 kg/m(2)) and overweight/obesity (BMI ≥ 25.0 kg/m(2)), multinomial logistic regression analysis was used. RESULTS: Overall, one-fourth of the study population was classified as underweight, and nearly one-fifth were overweight or obese. The proportion of underweight was significantly higher in women (32.5%) compared to that of men (15.2%). Overall, employment, especially in women, was associated with reduced odds of being underweight (adjusted odds ratio-aOR: 0.32; 95% confidence interval - CI: 0.11, 0.89). Subjects with secondary education incomplete (grades 6-9) compared to those with primary or below education (grades 0-5; aOR: 2.51; 95% CI: 1.12, 5.59) and employed compared to those unemployed groups (aOR: 5.84; 95% CI: 2.67, 12.74) were more likely to be overweight or obese in this study population. These associations were more pronounced in women. DISCUSSION: Multisectoral program strategies are required to tackle the growing burden of malnutrition (both under and overweight) in this young age group tailored to local contexts including in climate-vulnerable coastal Bangladesh.
India has made tremendous progress in reducing malaria mortality and morbidity in the last decade. Mizoram State in North-East India is one of the few malaria-endemic regions where malaria transmission has continued to remain high. As Mizoram shares international borders with Bangladesh and Myanmar, malaria control in this region is critical for malaria elimination efforts in all the three countries. For identifying hotspots for targeted intervention, malaria data from 385 public health sub-centers across Mizoram were analyzed in the Geographic Information System. Almost all the sub-centers reporting high Annual Parasite Index (> 10) are located in Mizoram’s districts that border Bangladesh. Getis-Ord G(i)* statistic shows most of the sub-centers located along the Bangladesh border in the Lawngtlai and Lunglei districts to be the malaria hotspots. The hotspots also extended into the Mamit and Siaha districts, especially along the borders of Lawngtlai and Lunglei. Analysis of terrain, climatic, and land use/land cover datasets obtained from the Global Modelling and Assimilation Office and satellite images show Mizoram’s western part (Lawngtlai, Lunglei, and Mamit districts) to experience similar topographic and climatic conditions as the bordering Rangamati district in the Chittagong division of Bangladesh. Climatic trends in this region from 1981 to 2021, estimated by the Mann-Kendall test and Sen’s slope estimates, show an increasing trend in minimum temperature, relative humidity, rainfall, and the associated shift of climatic pattern (temperate to tropical monsoon) could facilitate malaria transmission. The quasi-Poisson regression model estimates a strong association (p < 0.001) between total malaria cases, temperature range, and elevation. The Kruskal-Wallis H test shows a statistically significant association between malaria cases and forest classes (p < 0.001). A regional coordination and strategic plan are required to eliminate malaria from this hyper-endemic malaria region of North-East India.
Rivers in the Bengal Delta are highly dynamic and characterized by bank erosion and channel shifting. Recurring erosion displaces nearby communities and climate change related impacts multiply the vulnerability of the displaced people. This study aims to evaluate the livelihood vulnerability of riparian communities with their spatial distribution of Bangladesh. It also investigates the socio-demographic characteristics of the vulnerable community and assesses their resilience capacity. A mixed-method research design has been applied that includes surveys and group discussions. The 150-household survey was conducted purposively from five administrative units of the Shariatpur district along the Padma River. Two vulnerability index methods, considering three major factors – households’ exposure, sensitivity and adaptive capacity – are adopted to evaluate and compare the vulnerability of these five units. Seven components (comprising twenty-five sub-components) are adopted to index these three factors. Three of the five administrative units are identified as highly vulnerable with index values of 0.494, 0.478 and 0.438. Low adaptive capacity and resilience are attributed to financial insolvency, weak social capital, not owning land, poor access to education, and the absence of social safety-net programs. High sensitivity is determined by food insecurity, the number of vulnerable groups, a high dependency ratio, little access to safe drinking water, limited healthcare facilities, unhygienic sanitation, and so forth. High exposure is delineated by the degree of erosion vulnerability, displacement, and loss of property and livelihood. The indexing of livelihood vulnerability suggests that the approach and its possesses have replicability in locations with similar vulnerabilities and impacts.
Although the improvement of sanitation facilities has been a major contributor to improving public health, it is not guaranteed to prevent negative health outcomes. This is especially true in areas affected by severe natural disasters, such as flooding or extreme rainfall. Previous studies have examined the association between catastrophic natural disasters and negative health outcomes. However, studies on disaster-prone areas are limited. This study focused on the impact of flood risks and examined whether the improvement of sanitation facilities would be sufficient to suppress the prevalence of diarrhea in flood-prone areas. Two secondary datasets including geodata on flood-prone areas were used for the analysis: one each was obtained from the Bangladesh Demographic and Health Survey and Bangladesh Agricultural Research Council. Two models with categorizations of sanitation facilities based on containment type and excreta flow were applied for analysis. Results showed that the severe flood-prone areas and “diffused” type of sanitation, where the feces are diffused without any containment, had significant positive associations with diarrhea prevalence; however, the interaction between them was negative. Moderate flood-prone areas had a significant positive association with diarrhea prevalence; however, the interaction with unimproved sanitation, which includes containment without clear partition from feces, was significantly negative. These findings indicate that improved sanitation or containment type of sanitation may not positively contribute to the prevention of diarrhea in these severe- and moderate-flood prone areas. The urgent need for alternative sanitation technologies should be addressed in flood-prone regions.
Disasters can pose several threats to our psychological health and create short-term and long-term psychological discomfort, resulting in a considerable burden on the mental health of im-pacted individuals and communities. We have explored women’s mental health problems due to the floods. A total of 393 women who resided in Ajmiriganj and Dharmapasha Upazila of Bangladesh during the 2022 flash flood were surveyed. We have applied the DASS-21 tool to as -sess the mental health status of these women. In addition, we have examined the variables associ-ated with mental health issues. Descriptive statistics and multiple linear regression were done. About 67%, 65%, and 37% of women experienced severe or extremely severe depression, anxi-ety, and stress, respectively. In addition, 89%, 88%, and 58% of women reported severe or ex-tremely severe depression, anxiety, and stress from experiencing family violence during a flood. Depression was associated with age, education, housing type, social satisfaction, a place’s safety rating, flood-related injury or disease, family loss, family violence, and property damage from the 2022 flash flood. Except for education and the present place’s flood safety rating, all depression-associated variables were also associated with anxiety. Stress was linked to all anxiety-associated variables. Older women, women living in inadequate infrastructure, least satisfied, unsafe rated of their places against flood, injured or diseased during the flood, lost family members, suffered family violence and property destruction due to flood reported mental health problems. Disaster risk mitigation and psychological intervention can mitigate mental health effects. This study can inform disaster management policies and public health worldwide.
The knowledge regarding male out-migration due to climate change and large-scale, rapid-onset disasters and their impacts on the left-behind families is well known. However, research on the adaptation strategies for the families left behind due to disaster-induced male-out seasonal migration is rarely carried out. Thus, this study attempts to explore the coping and adaptation strategies adopted by the left-behind families in the salinity-induced male out-migration context. Analyzing the factors affecting the adaptation behaviors is also a major objective of this study. The study was carried out in Shyamnagar sub-district of coastal Bangladesh, where male-out seasonal migration for both rapid and slow-onset disasters is evidenced. The data regarding the adaptation measures were explored through different participatory rural appraisal techniques. Primary data were collected from 213 women from the left-behind families through a semi-structured questionnaire. Descriptive statistics as well as multiple linear regression for analyzing the factors affecting adaptation behaviors were applied. The results revealed that the left-behind families, especially the women and children, adopted a total of 35 coping and adaptation strategies in five different aspects, such as economic adaptation, social adaptation measures, environmental measures, educational measures, and health-related measures. Migrant husbands’ age and their education, the household’s alternative income sources’ availability, receiving loans, disaster history, and migration history variables contributed most significantly to the adaptation behavior. This study provides a new perspective on seasonal male out-migration and the adaptation strategies of the left-behind families, which could be helpful for disaster-induced human migration management and enhancing the resilience of vulnerable communities.
One of the leading causes of the increase in the intensity of dengue fever transmission is thought to be climate change. Examining panel data from January 2000 to December 2021, this study discovered the nonlinear relationship between climate variables and dengue fever cases in Bangladesh. To determine this relationship, in this study, the monthly total rainfall in different years has been divided into two thresholds: (90 to 360 mm) and (360 mm), and the daily average temperature in different months of the different years has been divided into four thresholds: (16 degrees C to <= 20 degrees C), (>20 degrees C to <= 25 degrees C), (>25 degrees C to <= 28 degrees C), and (>28 degrees C to <= 30 degrees C). Then, quasi-Poisson and zero-inflated Poisson regression models were applied to assess the relationship. This study found a positive correlation between temperature and dengue incidence and furthermore discovered that, among those four average temperature thresholds, the total number of dengue cases is maximum if the average temperature falls into the threshold (>28 degrees C to <= 30 degrees C) and minimum if the average temperature falls into the threshold (16 degrees C to <= 20 degrees C). This study also discovered that between the two thresholds of monthly total rainfall, the risk of a dengue fever outbreak is approximately two times higher when the monthly total rainfall falls into the thresholds (90 mm to 360 mm) compared to the other threshold. This study concluded that dengue fever incidence rates would be significantly more affected by climate change in regions with warmer temperatures. The number of dengue cases rises rapidly when the temperature rises in the context of moderate to low rainfall. This study highlights the significance of establishing potential temperature and rainfall thresholds for using risk prediction and public health programs to prevent and control dengue fever.
Bangladesh has made significant progress in social and economic development in recent years, but micronutrient deficiencies and poor dietary diversity remain a significant challenge. This paper developed five scenarios to explore futures of fish supply-demand in Bangladesh using the AsiaFish model, with special emphasis on the role of fish in macronutrient and micronutrient supply to address the nation’s malnutrition and nutrition security challenges. A business-as-usual (BAU) scenario followed historical trends for exogenous variables used in the model. The four alternative scenarios explored: the implications of increase productivity of farmed tilapia, pangasius and rohu carp (AS1); improvements in the quality of feeds (AS2); disease outbreak in farmed shrimps and prawns (AS3); and climate change impacts (AS4). The BAU scenario indicates that aquaculture growth will be a prominent contribution to increasing total fish supply and demand and fish exports to 2040. Apart from the scenarios that are favourable to aquaculture sector development, other alternative scenarios highlighted the lower growth rate of capture fisheries and aquaculture compared to BAU, resulting in declining in per capita fish consumption, fish exports and nutrient supply from fish as a consequence. Increased availability of aquaculture fish can slightly compensate for the lower growth of capture fisheries in term of their nutrition quality and di-etary diversity, particularly for poor consumers. Policies towards sustaining fisheries and a nutrition-sensitive approach to aquaculture is recommended as both capture fisheries and aquaculture are essential for sustain-ing healthy and nutritious diets in Bangladesh.
Climate change effects are not uniform and have disproportionate impacts among different groups of people within communities. It is therefore important to understand the underlying issues of intersectionality for climate change adaptation and human well-being. This paper aims to measure human capabilities and freedom of choice by analyzing perceived climate change impacts and current climate change adaptation ability among ethnic and non-ethnic communities in Bangladesh. This study applies a range of participatory rural appraisal tools and key informant interviews to assess impacts of climate change when considering gender and ethnicity. Women in the coastal regions have less access to resources and services because of social capital and cultural practices and this directly or indirectly influences their adaptation to climate change. Women have limited or no participation in decision-making processes at family or community levels and this impacts their vulnerability and well-being. In consequence, women’s capabilities must be focused on moderating their vulnerability and risk, and developing effective adaptation to the adverse impacts of climate change and natural hazards.
Bangladesh’s success in disaster risk management is often evidenced by referencing the reduction of deaths caused by tropical cyclones – the Cyclone Gorky 1991 caused 147,000 deaths, the Cyclone Sidr 2007 caused 4500 deaths and only 6 deaths by the Cyclone Mora in 2017. This raises questions of how deaths occurred by tropical cyclones in the past and what factors still might contribute towards deaths from cyclone hazards? This study answers these questions through face-to-face interviews with 362 residents, field visits and observations across coastal Bangladesh. The findings indicate that there have been improvements in house structures and design, warning responses and evacuation processes to public cyclone shelters and informal cyclone shelter centres. In the past, due to a lack of built infrastructure, strong residential houses and public cyclone shelters, deaths occurred whilst living in fragile houses; attempting to survive through holding trees and floating in storm surges. The top ten factors that may still cause deaths by tropical cyclones include: (1) Living adjacent to the coast without an embankment or lack of embankment, or the failure of an established embankment; (2) the repeat of a 1991-like cyclone; (3) non-evacuation following early warning; (4) poor roads in remote areas to facilitate mass movement; (5) distance to and insufficient number of public cyclone shelters; (6) lack of protective measures for the rising number of elderly and disabled people; (7) community’s unawareness; (8) communication failure during the emergency period; (9) failure to evacuate people from remote locations; and (10) Poor radio signal and mobile network issues resulting in no warning information being effectively and timely communicated. This study provides several key recommendations addressing these factors of deaths, to be implemented by individual, community, private sectors, non-government organisations (NGOs) and public sectors across coastal Bangladesh.
The Ganges-Brahmaputra-Meghna river basin, running through Tibet, Nepal, Bhutan, Bangladesh, and northern India, is home to more than 618 million people. Annual monsoons bring extensive flooding to the basin, with floods predicted to be more frequent and extreme due to climate change. Yet, evidence regarding the long-term impacts of floods on children’s health is lacking. In this analysis, we used high-resolution maps of recent large floods in Bangladesh to identify flood-prone areas over the country. We then used propensity score techniques to identify, among 58,945 mothers interviewed in six demographic population-based surveys throughout Bangladesh, matched cohorts of exposed and unexposed mothers and leverage data on 150,081 births to estimate that living in flood-prone areas was associated with an excess risk in infant mortality of 5.3 (95% CI 2.2 to 8.4) additional deaths per 1,000 births compared to living in non-flood-prone areas over the 30-y period between 1988 and 2017, with higher risk for children born during rainy (7.9, 95% CI: 3.3 to 12.5) vs. dry months (3.1, 95% CI: -1.1 to 7.2). Finally, drawing on national-scale, high-resolution estimates of flood risk and population distribution, we estimated an excess of 152,753 (64,120 to 241,386) infant deaths were attributable to living in flood-prone areas in Bangladesh over the past 30 y, with marked heterogeneity in attributable burden by subdistrict. Our approach demonstrates the importance of measuring longer-term health impacts from floods and provides a generalizable example for how to study climate-related exposures and long-term health effects.
The 2020 monsoon floods in Bangladesh were among the most severe and protracted in decades. Instead of waiting for disaster to strike, the Bangladesh Red Crescent Society used impact-based forecast data to reach nearly 3,800 vulnerable households along the Jamuna River with a one-off unconditional cash transfer of BDT 4,500 (about $53) before peak flooding in July 2020. Anticipatory action to help at-risk populations avoid or mitigate extreme weather event impacts has become widely used by governments and humanitarian organisations worldwide. However, robust evaluations of the effectiveness of forecast-based assistance are limited. This assessment follows a quasi-experimental approach, drawing on survey data from a sample of cash recipients and equally vulnerable and flood-affected households that were not reached by BDRCS before the flood. Our analysis finds robust statistical evidence that the intervention was effective in helping households evacuate the flood-affected area, protecting personal health and well-being, and safeguarding people’s productive assets and livestock. It was also effective in enabling beneficiaries to avoid taking on high-interest loans and selling valuable assets during and after the flood. The intervention does not appear to have helped cash recipients avoid food-based coping mechanisms or regain their productive capacity sooner after the flood.
Heavy metals (HMs) in sediment samples (Dry and Rainy seasons) of industrially affected rivers were quantified by Energy Disperse X-ray Fluorescence in the Shitalakshya river of Bangladesh. This study assesses the potential health concerns provided by various HMs manganese (Mn), zinc (Zn), copper (Cu), arsenic (As), lead (Pb), cadmium (Cd), nickel (Ni), and chromium (Cr). Mean concentration of HMs ranked as Mn > Zn > Cu > Cr > Ni > Pb > As > Cd for both seasons, where almost all the elements were found within the standard limit, except for Cd and As. In the dry season, the concentrations of all HMs were slightly higher than in the rainy season, which can be attributed to the fact that pollutants in rivers may be diluted by rainwater, thus lowering the value. Enrichment factor, geo-accumulation index, contamination factor, and pollution load index indicated a high level of contamination by HMs and moderate levels of ecological risk. The hazard index was < 1 for adults and children in both seasons, revealing no possible non-carcinogenic health risk. Hazard Quotient for individual exposure path can be ranked as ingestion > dermal > inhalation for both seasons, regardless of age group. Carcinogenic risk via the entire three exposure path was ascertained safe for adults and children except for ingestion in children for both seasons. However, total carcinogenic risk value indicated low to medium risk for children in both seasons, while it is within a safe limit for adults. Multivariate statistical analysis indicated possible sources were anthropogenic primarily due to untreated wastes discharge from metal and waste dumping sites, oil and refinery industries, and glass and ceramic industries close to the sampling sites of the Shitalakshya river.
Dengue virus (DENV) is an enveloped, single-stranded RNA virus, a member of the Flaviviridae family (which causes Dengue fever), and an arthropod-transmitted human viral infection. Bangladesh is well known for having some of Asia’s most vulnerable Dengue outbreaks, with climate change, its location, and it’s dense population serving as the main contributors. For speculation about DENV outbreak characteristics, it is crucial to determine how meteorological factors correlate with the number of cases. This study used five time series models to observe the trend and forecast Dengue cases. Current data-based research has also applied four statistical models to test the relationship between Dengue-positive cases and meteorological parameters. Datasets were used from NASA for meteorological parameters, and daily DENV cases were obtained from the Directorate General of Health Service (DGHS) open-access websites. During the study period, the mean of DENV cases was 882.26 ± 3993.18, ranging between a minimum of 0 to a maximum of 52,636 daily confirmed cases. The Spearman’s rank correlation coefficient between climatic variables and Dengue incidence indicated that no substantial relationship exists between daily Dengue cases and wind speed, temperature, and surface pressure (Spearman’s rho; r = -0.007, p > 0.05; r = 0.085, p > 0.05; and r = -0.086, p > 0.05, respectively). Still, a significant relationship exists between daily Dengue cases and dew point, relative humidity, and rainfall (r = 0.158, p < 0.05; r = 0.175, p < 0.05; and r = 0.138, p < 0.05, respectively). Using the ARIMAX and GA models, the relationship for Dengue cases with wind speed is -666.50 [95% CI: -1711.86 to 378.86] and -953.05 [-2403.46 to 497.36], respectively. A similar negative relation between Dengue cases and wind speed was also determined in the GLM model (IRR = 0.98). Dew point and surface pressure also represented a negative correlation in both ARIMAX and GA models, respectively, but the GLM model showed a positive association. Additionally, temperature and relative humidity showed a positive correlation with Dengue cases (105.71 and 57.39, respectively, in the ARIMAX, 633.86, and 200.03 in the GA model). In contrast, both temperature and relative humidity showed negative relation with Dengue cases in the GLM model. In the Poisson regression model, windspeed has a substantial significant negative connection with Dengue cases in all seasons. Temperature and rainfall are significantly and positively associated with Dengue cases in all seasons. The association between meteorological factors and recent outbreak data is the first study where we are aware of the use of maximum time series models in Bangladesh. Taking comprehensive measures against DENV outbreaks in the future can be possible through these findings, which can help fellow researchers and policymakers.
Climate change has major implications for common mental disorders including depression and anxiety in vulnerable nations such as Bangladesh. However, knowledge gaps exist around national estimations of depression and anxiety, and the associations between the prevalence of these disorders with climate-related and sociodemographic risk factors. To address these gaps, this study analysed data from a nationally representative panel study in Bangladesh that examined climate-related and sociodemographic correlates of depression and anxiety. METHODS: Two rounds of nationally representative household panel data were collected from urban and rural areas between August and September, 2019, and January and February, 2020. Households were selected for inclusion across 150 enumeration areas as the primary sampling units with use of a two-stage stratified random sampling design, and survey instruments were administered to the available adult member of the household. Depression and anxiety were measured with the Patient Health Questionnaire-9 and Generalized Anxiety Disorder-7 scales, respectively, and weighted prevalence estimates were calculated on the basis of the 2011 national population census. Data on temperature and humidity were collected from 43 weather stations and constructed as mean values for the 2-month period preceding each round of the survey. Self-reported exposure to flooding was collected for a 12-month recall period. We applied a weighted population average logistic model on the pooled sample of both surveys to analyse the associations between ambient temperature, humidity, exposure to flooding, seasonality, sociodemographic variables, and three outcome conditions (depression, anxiety, and co-occurring depression and anxiety; at the level of p<0·1). The models accounted for temporal and spatial heterogeneity. Standard errors were clustered at the level of each primary sampling unit. FINDINGS: 3606 individuals were included with 3·5% dropout in the second survey round (pooled sample n=7086; age range 15-90 years; 2898 [40·9%] men and 4188 [59·1%] women). National weighted prevalence estimates were 16·3% (95% CI 14·7-17·8) for depression, 6·0% (4·7-7·3) for anxiety, and 4·8% (3·7-5·9) for co-occurring depression and anxiety. We observed no significant associations between overall seasonality (summer vs winter) and the odds of depression (adjusted odds ratio 3·14 [95% CI 0·52-19·13], p=0·22), anxiety (0·16 [0·02-1·41], p=0·10), or co-occurring depression and anxiety (0·13 [0·01-1·49], p=0·10). An increase in mean temperature of 1°C within the 2 months preceding the surveys was associated with increased odds of anxiety (1·21 [1·00-1·47], p=0·046) and increased odds of co-occurring depression and anxiety (1·24 [1·00-1·53], p=0·045), whereas increased temperature was not associated with depression (0·90 [0·77-1·04], p=0·15). An increase in mean humidity of 1 g/m(3) was not associated with depression (0·99 [0·96-1·02], p=0·60) or anxiety (1·04 [0·99-1·09], p=0·13), but was associated with co-occurring depression and anxiety (1·06 [1·00-1·12], p=0·064). Exposure to flooding within the 12 months preceding the survey rounds was associated with increased odds of all outcome conditions (depression, 1·31 [1·00-1·70], p=0·047; anxiety, 1·69 [1·21-2·36], p=0·0020; and co-occurring depression and anxiety, 1·87 [1·31-2·68], p=0·0006). INTERPRETATION: Climate-related shocks and other stressors have an important association with the burden of depression and anxiety in Bangladesh. Community-level interventions for common mental disorders need to be developed and assessed for safety, feasibility, and effectiveness in a Bangladeshi context. Further research on climate-related stressors is needed over different timespans and time intervals. FUNDING: The World Bank.
Despite a significant development in vulnerability scholarship, how climatic drivers compounding with non-climatic forces cause differential vulnerability to climatic change is very scant. The purpose of this research is to illustrate the differential vulnerability of rural populations to floods in Bangladesh. To achieve this goal, empirical data – both primary and secondary – were procured. A quantitative research design was applied using a structured interview technique to collect field data. Secondary data on rainfall and temperature were collected from the Bangladesh Meteorological Department (BMD). We assessed gender differential vulnerability using Hahn et al.’s Livelihood Vulnerability Index (LVI). Our empirical findings revealed that women had a greater vulnerability to flooding with an LVI score of 0.550 compared to their men counterparts (0.484). Vulnerability varies in terms of health, water, food, sanitation, socio-demographic aptitudes, and agriculture-based livelihood, and floods. We also found that women’s adaptive capacities (e.g., knowledge, and skills) were more potential to undermine flood vulnerability. While both men and women experienced high flood exposure, women were highly sensitive to flood hazards because of their social roles, locations, unequal access to decision-making power, and resource entitlements. Also, the intersection of diverse social disparities undermines adaptive capacity and reshapes exposure and sensitivity to floods. Our research, therefore, suggested that risk-driven plans and policy interventions are required to reduce the impacts of intersectional factors that cause greater gender-differentiated vulnerability. Future research further can examine how places and multifaced social factors interact and intersect in producing differential susceptibility to climate change in the developing world.
This research examined the characteristics of cold days and spells in Bangladesh using long-term averages (1971-2000) of maximum (T-max) and minimum temperatures (T-min) and their standard deviations (SD). Cold days and spells were calculated and their rate of change during the winter months (December-February) of 2000-2021 was quantified. In this research, a cold day was defined as when the daily maximum or minimum temperature is <=-1.5 the standard deviations of the long-term daily average of maximum or minimum temperature and the daily average air temperature was equal to or below 17 degrees C. The results showed that the cold days were more in the west-northwestern regions and far less in the southern and southeastern regions. A gradual decrease in cold days and spells was found from the north and northwest towards the south and southeast. The highest number of cold spells (3.05 spells/year) was experienced in the northwest Rajshahi division and the lowest (1.70 spells/year) in the northeast Sylhet division. In general, the number of cold spells was found to be much higher in January than in the other two winter months. In the case of cold spell severity, Rangpur and Rajshahi divisions in the northwest experienced the highest number of extreme cold spells against the highest number of mild cold spells in the Barishal and Chattogram divisions in the south and southeast. While nine (out of twenty-nine) weather stations in the country showed significant trends in cold days in December, it was not significant on the seasonal scale. Adapting the proposed method would be useful in calculating cold days and spells to facilitate regional-focused mitigation and adaptation to minimize cold-related deaths.
In Bangladesh, particularly in Dhaka city, dengue fever is a major factor in serious sickness and hospitalization. The weather influences the temporal and geographical spread of the vector-borne disease dengue in Dhaka. As a result, rainfall and ambient temperature are considered macro factors influencing dengue since they have a direct impact on Aedes aegypti population density, which changes seasonally dependent on these critical variables. This study aimed to clarify the relationship between climatic variables and the incidence of dengue disease. METHODS: A total of 2253 dengue and climate data were used for this study. Maximum and minimum temperature (°C), humidity (grams of water vapor per kilogram of air g.kg(-1)), rainfall (mm), sunshine hour (in (average) hours per day), and wind speed (knots (kt)) in Dhaka were considered as the independent variables for this study which trigger the dengue incidence in Dhaka city, Bangladesh. Missing values were imputed using multiple imputation techniques. Descriptive and correlation analyses were performed for each variable and stationary tests were observed using Dicky Fuller test. However, initially, the Poisson model, zero-inflated regression model, and negative binomial model were fitted for this problem. Finally, the negative binomial model is considered the final model for this study based on minimum AIC values. RESULTS: The mean of maximum and minimum temperature, wind speed, sunshine hour, and rainfall showed some fluctuations over the years. However, a mean number of dengue cases reported a higher incidence in recent years. Maximum and minimum temperature, humidity, and wind speed were positively correlated with dengue cases. However, rainfall and sunshine hours were negatively associated with dengue cases. The findings showed that factors such as maximum temperature, minimum temperature, humidity, and windspeed are crucial in the transmission cycles of dengue disease. On the other hand, dengue cases decreased with higher levels of rainfall. CONCLUSION: The findings of this study will be helpful for policymakers to develop a climate-based warning system in Bangladesh.
Bangladesh is particularly vulnerable to natural calamities such as flooding, cyclones, droughts, and severe riverbank erosion as a deltaic country. Riverbank erosion brings about terrible consequences such as loss of land, human displacement, social isolation, and physical and mental well-being problems. The study used a mixed-method research approach and a multi-method data collection procedure to analyse the impact of riverbank erosion on livelihood and health. Households of Internally Displaced Persons (IDPs) due to riverbank erosion in Bangladesh’s Lakshmipur district were surveyed using a structured questionnaire and an unstructured interview schedule to collect quantitative and qualitative data. Thematic content analysis, and descriptive statistics were applied to identify how riverbank erosion is inextricably linked to the IDPs’ socio-economic conditions and well-being vulnerability. The findings show that riverbank erosion is responsible for the IDPs’ livelihood uncertainty and substantial health concerns. Uncertainty about livelihood gives rise to socio-economic instability, poverty, diseases, and medical expenses. On top of that, the displaced people faced several difficulties, including no land ownership, living in substandard housing, no access to power, use of unhygienic toilets, social isolation, and anxiety. The research also finds inadequate government or non-governmental master plans for IDPs to overcome miserable conditions. The study results will help policymakers in Bangladesh and elsewhere to better understand the needs of vulnerable riverine communities and to design and implement policies and programmes to improve those communities’ capacity to withstand shocks and recover quickly.
INTRODUCTION: Optimal feeding practices are vital for the subsistence, adequate nutrition, physical growth and mental development of infants and young children. This study aimed to examine the prevalence of core infant and young child feeding (IYCF) indicators and their associations with the type of terrain, that is, geographical area or zone among the beneficiaries of a large-scale nutrition programme, Suchana, being carried out in the northern part of rural Bangladesh. METHODOLOGY: A cross-sectional study was conducted from November 2016 to February 2017 in Sylhet and Moulvibazar districts of Sylhet Division, Bangladesh. Data pertaining to 5440 children aged below 24 months were analysed for this study. Univariate analysis was carried out to establish the prevalence of the indicators; selected variables were subjected to multiple regression model to identify independent relationships between the IYCF indicators and the type of terrain stratified as plain land, hilly area, flash-flood prone area and haor (wetland). RESULTS: In logistic regression analysis, flash-flood prone areas were significantly associated with higher exclusive breast feeding (1.92, 95% CI 1.12 to 3.30; p=0.019), minimum meal frequency (1.45, 95% CI 1.07 to 1.97; p=0.018) and minimum dietary diversity (1.63, 95% CI 1.01 to 2.63; p=0.046) compared with plain land. Moreover, hilly areas were associated with significantly lower introduction of solid, semisolid or soft foods (0.39, 95% CI 0.18 to 0.82; p=0.013) compared with plain land. CONCLUSION: The observed prevalence of the indicators can be set as benchmark while prioritising interventions aimed at improving IYCF practices among underprivileged families residing in different types of rural setting in Bangladesh.
Increasing flood risk, salinization and waterlogging threaten the lives and livelihoods of more than 35 million people in Bangladesh’s coastal zone. While planning models have long been used to inform investments in water infrastructure, they frequently overlook interacting risks, impacts on the poor and local context. We address this gap by developing and applying a stochastic-optimization model to simulate the impact of flood embankment investments on the distribution of agricultural incomes across income groups for six diverse polders (embanked areas) in coastal Bangladesh. Results show that increasing salinity and waterlogging negate the benefits of embankment rehabilitation in improving agricultural production while improved drainage can alleviate these impacts. Outcomes vary across income groups, with risks of crop loss being greatest for the poor. We discuss the need for planning models to consider the interacting benefits and risks of infrastructure investments within a local political economy to better inform coastal adaptation decisions. People living in Bangladesh’s coastal zone face multiple water-related risks. This modelling study finds that rising salinity and waterlogging negate the benefits of rehabilitating embankments for reducing crop loss, with impacts being greatest for the poor. Drainage was found to reduce negative impacts.
To quantify the potential impact of rotavirus vaccines and identify strategies to improve vaccine performance in Bangladesh, a better understanding of the drivers of pre-vaccination rotavirus patterns is required. We developed and fitted mathematical models to 23 years (1990-2012) of weekly rotavirus surveillance data from Dhaka with and without incorporating long-term and seasonal variation in the birth rate and meteorological factors. We performed external model validation using data between 2013 and 2019 from the regions of Dhaka and Matlab. The models showed good agreement with the observed age distribution of rotavirus cases and captured the observed shift in seasonal patterns of rotavirus hospitalizations from biannual to annual peaks. The declining long-term trend in the birth rate in Bangladesh was the key driver of the observed shift from biannual to annual winter rotavirus patterns. Meteorological indices were also important: a 1°C, 1% and 1 mm increase in diurnal temperature range, surface water presence and degree of wetness were associated with a 19%, 3.9% and 0.6% increase in the transmission rate, respectively. The model demonstrated reasonable predictions for both Dhaka and Matlab, and can be used to evaluate the impact of rotavirus vaccination in Bangladesh against changing patterns of disease incidence.
This paper studies the impact of climate change on the nutritional status of very young children between the ages of 0-3 years by using weather data from the last half century merged with rich information on child, mother, and household characteristics in rural coastal Bangladesh. We evaluate the health consequences of rising temperature and relative humidity and varying rainfall jointly employing alternate functional forms. Leveraging models that control for annual trends and location-specific seasonality, and that allow the impacts of temperature to vary non-parametrically while rainfall and humidity have flexible non-linear forms, we find that temperatures that exceed 25 °C (the “comfortable” benchmark) in the month of birth exert negative effects on children’s nutritional status as measured by mid upper arm circumference. Humidity has a positive impact which persists when child, mother and household controls are included. We find that exposure to changing climate in utero also matters. Explanations for these results include consequences of weather fluctuations on the extent of pasture, cropland, and rainfed lands planted with rice and other crops, and on mother’s age at first marriage. Our results underline that climate change has real consequences for the health of very young populations in vulnerable areas.
BACKGROUND: Greenhouse gas emissions are changing the Earth’s climate, most directly by modifying temperatures and temperature variability (TV). Residents of low- and middle-income countries (LMICs) are likely more adversely affected, due to lack of air conditioning to compensate. To date, there is no local epidemiological evidence documenting the cardio-respiratory health effects of TV in Dhaka, Bangladesh, one of the most climate change vulnerable cities in the world. OBJECTIVES: We assessed short-term TV associations with daily cardiovascular disease (CVD) and respiratory emergency department (ED) visits, as well as effect modification by age and season. METHODS: TV was calculated from the standard deviations of the daily minimum and maximum temperatures over exposure days. Time-series regression modeling was applied to daily ED visits for respiratory and CVD from January 2014 through December 2017. TV effect sizes were estimated after controlling for long-term trends and seasonality, day-of-week, holidays, and daily mean relative humidity and ambient temperature. RESULTS: A 1 °C increase in TV was associated with a 1.00% (95 %CI: 0.05%, 1.96%) increase in CVD ED visits at lag 0-1 days (TV(0-1)) and a 2.77% (95 %CI: 0.24%, 5.20%) increase in respiratory ED visits at lag 0-7 days (TV(0-7)). TV-CVD associations were larger in the monsoon and cold seasons. Respiratory ED visit associations varied by age, with older adults more affected by the TV across all seasons. A 1 °C increase in TV at lag 0-7 days (TV(0-7)) was associated with a 7.45% (95 %CI: 2.33%, 12.57%) increase in respiratory ED visits among patients above 50 years of age. CONCLUSION: This study provided novel and important evidence that cardio-pulmonary health in Dhaka is adversely affected year-round by day-to-day increases in TV, especially among older adults. TV is a key factor that should be considered in evaluating the potential human health impacts of climate change induced temperature changes.
Drought has exacerbated morbidity and mortality worldwide. Here, a time series study was conducted in northern Bangladesh to evaluate the impact of drought on selected causes of mortality during 2007-2017. Rainfall and temperature data from six meteorological stations were used to analyze drought and non-drought periods and to categorize mild, moderate, severe, and extreme drought based on the 3-month and 12-month Standardized Precipitation Index (SPI) and Standardized Precipitation Evaporation Index (SPEI). A generalized linear model with Poisson regression with log link, a negative binomial with log link, and a zero-inflated Poisson model were used to determine associations between drought severity and mortality. The SPI and SPEI produced slightly different analysis results. Compared with the SPEI, the SPI showed a stronger and more sensitive correlation with mortality. The relative risk for respiratory disease mortality was high, and Saidpur was the most vulnerable area. Health care expenditure was negatively associated with mortality. High temperatures during the drought period were associated with suicide-related mortality in Rajshahi. The impact of drought on mortality differed with small changes in climate. The findings of this study improve our understanding of the differences between the two most used drought indicators and the impact of drought on mortality.
Child undernutrition and natural disasters are major public health concerns in Bangladesh, but research into their relationship is lacking. This study assessed the association between residential district multi-hazard-risk and undernutrition among children aged less than 5 years (under-5) in Bangladesh. Data for 22,055 under-5 children were extracted from the 2019 Multiple Indicator Cluster Survey of Bangladesh. Multi-hazard risk was categorized as low (score<10), moderate (score 10-20), and high (score>20) using a combined score of four major hazards: tornado, cyclone, earthquake, and flood. We found that children from high multi-hazard risk districts were 19% more likely to be stunted and 23% more likely to be underweight compared to low-risk districts. However, wasting was not associated with multi-hazard risk. Strategies such as agricultural adaptation and coping mechanisms, long-term post-disaster nutritional response, extended periods of relief supports, and enhanced quality maternal and child care services may help to reduce undernutrition burdens in Bangladesh.
Environmental disasters have increased in frequency and intensity as a result of climate change. Can timely intervention help protect against the health impacts of these disasters? We study this question by leveraging data from a double-blind cluster-randomized controlled trial of at-birth vitamin A supplementation, which boosts immune system functioning, in Bangladesh. During the trial, a large tornado swept through the study area, affecting both treatment and control clusters. Tornado exposure in infancy decreased physical growth and increased the incidence of severe fevers. But infants who received supplementation were protected from these negative effects.
Studies have shown that ambient extreme temperatures (heat and cold) were associated with an increased risk of childhood pneumonia, but the evidence is very limited in low-middle-income countries. It also remains unknown whether pneumococcal conjugate vaccine (PCV) could prevent temperature-related childhood pneumonia. This study collected data on ambient temperature and hospitalizations for childhood pneumonia in Matlab, Bangladesh from 2012 to 2016. Interrupted time series (ITS) analysis was employed to assess the impact of PCV (10-valent) intervention on childhood pneumonia hospitalizations. A time-stratified case-crossover analysis with a conditional logistic regression was performed to examine the association of childhood pneumonia hospitalizations with extreme temperatures and heatwaves before and after PCV10 intervention. Subgroup analyses were conducted to explore the modification effects of seasons, age, gender, and socioeconomic levels on temperature-related childhood pneumonia hospitalizations. We found that after PCV10 intervention, there was a sharp decrease in hospitalizations for childhood pneumonia (relative risk (RR): 0.59, 95% confidence interval (CI): 0.43-0.83). During the study period, heat effects on childhood pneumonia appeared immediately on the current day (odds ratio (OR): 1.28; 95% CI: 1.02-1.60, lag 0), while cold effects appeared 4 weeks later (OR: 1.53, 95% CI: 1.06-2.22, lag 28). Importantly, cold effects decreased significantly after PCV10 (p-value＜0.05), but heat and heatwave effects increased after PCV10 (p-value＜0.05). Particularly, children from families with a middle or low socioeconomic level, boys, and infants were more susceptible to heat-related pneumonia. This study suggests that PCV10 intervention in Bangladesh may help decrease cold-related not heat-related childhood pneumonia.
Dengue fever is a severe disease spread by Aedes mosquito-borne dengue viruses (DENVs) in tropical areas such as Bangladesh. Since its breakout in the 1960s, dengue fever has been endemic in Bangladesh, with the highest concentration of infections in the capital, Dhaka. This study aims to develop a machine learning model that can use relevant information about the factors that cause Dengue outbreaks within a geographic region. To predict dengue cases in 11 different districts of Bangladesh, we created a DengueBD dataset and employed two machine learning algorithms, Multiple Linear Regression (MLR) and Support Vector Regression (SVR). This research also explores the correlation among environmental factors like temperature, rainfall, and humidity with the rise and decline trend of Dengue cases in different cities of Bangladesh. The entire dataset was divided into an 80:20 ratio, with 80 percent used for training and 20% used for testing. The research findings imply that, for both the MLR with 67% accuracy along with Mean Absolute Error (MAE) of 4.57 and SVR models with 75% accuracy along with Mean Absolute Error (MAE) of 4.95, the number of dengue cases reduces throughout the winter season in the country and increases mainly during the rainy season in the next ten months, from August 2021 to May 2022. Importantly, Dhaka, Bangladesh’s capital, will see the maximum number of dengue patients during this period. Overall, the results of this data-driven analysis show that machine learning algorithms have enormous potential for predicting dengue epidemics.
BACKGROUND: Since climate change, pandemics and population mobility are challenging healthcare systems, an empirical and integrative research to studying and help improving the health systems resilience is needed. We present an interdisciplinary and mixed-methods research protocol, ClimHB, focusing on vulnerable localities in Bangladesh and Haiti, two countries highly sensitive to global changes. We develop a protocol studying the resilience of the healthcare system at multiple levels in the context of climate change and variability, population mobility and the Covid-19 pandemic, both from an institutional and community perspective. METHODS: The conceptual framework designed is based on a combination of Levesque’s Health Access Framework and the Foreign, Commonwealth and Development Office’s Resilience Framework to address both outputs and the processes of resilience of healthcare systems. It uses a mixed-method sequential exploratory research design combining multi-sites and longitudinal approaches. Forty clusters spread over four sites will be studied to understand the importance of context, involving more than 40 healthcare service providers and 2000 households to be surveyed. We will collect primary data through questionnaires, in-depth and semi-structured interviews, focus groups and participatory filming. We will also use secondary data on environmental events sensitive to climate change and potential health risks, healthcare providers’ functioning and organisation. Statistical analyses will include event-history analyses, development of composite indices, multilevel modelling and spatial analyses. DISCUSSION: This research will generate inter-disciplinary evidence and thus, through knowledge transfer activities, contribute to research on low and middle-income countries (LMIC) health systems and global changes and will better inform decision-makers and populations.
Bangladesh, being the world’s most climate-vulnerable country, is affected by plenty of climate-related hazards every year, mostly along its south-western coast. As a consequence, many people relocated from these regions’ worst-affected neighborhoods to Khulna city, and began to live as slum dwellers. They faced a variety of issues in these informal settlements, particularly regarding water, sanitation, and hygiene (WASH) facilities and livelihood options, but no research has been conducted in Bangladesh. With an emphasis on WASH services and livelihood prospects, this study therefore aimed to provide a comprehensive understanding of the challenges/hardships and needs of climate migrants living in urban slums in both general and COVID-19 contexts. Qualitative methods were applied to collect data from the climate migrants of slums in five wards (3, 12, 17, 21, and 30) of the Khulna City Corporation. Nine focus group discussions and four key informant interviews were conducted to collect the data from primary (community people) and secondary (local government and non-government and community-based organizations officials) stakeholders. The thematic analysis was used to analyze the data. The findings revealed that climate migrants experienced significant water scarcity, insufficient drainage systems, a lack of toilets, tube wells, and bathing facilities, inadequate hygiene management, a lack of core skills required for urban jobs, low payment, and an income shortage. Similarly, sustainable drinking water sources, sanitary toilets with WASH blocks, personal hygiene materials and awareness building, skill development for diverse livelihood opportunities, and income-generating capacity development were their top priorities. Overall, the findings of this study provided a holistic overview of the challenges/hardships and needs of climate migrants in urban slums regarding WASH services and livelihood opportunities. The authorities should intervene and develop policy initiatives to alleviate the hardships and meet the needs of climate migrants.
Long-term trends in air quality by studying the criteria pollutants (PM2.5, PM10, CO, O-3, NO2, and SO2) and climate variables (temperature, surface pressure, and relative humidity) were depicted in this study. The 17-year (2003-2019) average values of PM2.5, PM10, CO, O-3, NO2, and SO2 were 88.69 +/- 9.76 mu g/m(3), 124.57 +/- 12.75 mu g/m(3), 0.69 +/- 0.06 ppm, 51.42 +/- 1.82 ppb, 14.87 +/- 2.45 ppb, and 8.76 +/- 2.07 ppb, respectively. The trends among the ambient pollutants were increasingly significant (p < 0.05) except for O-3 with slopes of 1.83 +/- 0.15 mu g/m(3)/year, 2.35 +/- 0.24 mu g/m(3)/year, 0.01 +/- 0.002 ppm/year, 0.47 +/- 0.03 ppb/year, and 0.40 +/- 0.02 ppb/year for PM2.5, PM10, CO, NO2, and SO2, respectively. Pearson correlations revealed a significant association among the pollutants while a noteworthy correlation was observed between ambient pollutants and surface temperature. Principal component analysis (PCA) and positive matrix factorization (PMF) have been employed collectively to examine the main sources of the pollutants. PCA revealed similar trends for PMs and CO, as well as NO2 and SO2 being equally distributed variables. PMF receptor modeling resulted in attributing four sources to the pollutants. The factors inferred from the PMF modeling were signified as vehicular emissions, road/soil dust, biomass burning, and industrial emissions. The hazard quotient (HQ) values were not antagonistic (HQ < 1) in acute exposure levels for the three age groups (infants, children, and adults) while showing significant health risk (HQ < 1) in chronic exposure for infants and children. Children are identified as the worst sufferers among the age groups, which points to low breathing levels and high exposure to traffic pollution in Dhaka, Bangladesh.
In Bangladesh, many people are being displaced in riverine island (char) areas every year due to climate change and its associated natural catastrophes. This study intends to investigate the impact of climate change on internally displaced char people’s lives and livelihoods along with local adaptation strategies and hindrances to the coping mechanism. Data have been collected from 280 internally displaced households in two sub-districts. A mixed-method approach has been considered combined with qualitative and quantitative methods. The results disclose that frequent flooding, riverbank erosion, and crop loss are the leading causes for relocation, and social relations are impeded in the new place of residence. Increasing summer and winter temperatures, recurrent flooding, severity of riverbank erosion, and expanding disease outbreaks are also important indicators of climate change identified by displaced people, which are consistent with observed data. This study also reveals that almost all households come across severe livelihood issues like food shortage, unemployment and income loss, and housing and sanitation problems due to the changing climate associated with disasters in the former and present places. In response to this, the displaced people acclimatize applying numerous adaptation strategies in order to boost the livelihood resilience against climate change. However, fragile housing, financial conditions, and lack of own land are still the highest impediments to the sustainability of adaptation. Therefore, along with the government, several organizations should implement a dynamic resettlement project through appropriate scrutiny to eradicate the livelihood complications of internally displaced people.
Child malnutrition is indisputably a multi-faceted phenomenon. Comprehending the aforesaid crucial issue this paper intended to identify climatic and non-climatic factors for the spatial variation of malnutrition prevalence in Bangladesh. The climatic data on temperature and rainfall are obtained from the WorldClim dataset. We obtained a set of global climate layers that included monthly data on minimum temperature, maximum temperature, mean temperature, and rainfall for the period 1960-1990, at a spatial resolution up to 30 ‘onds (~ 1 × 1 km at the equator). The data are extracted at the district level using the zonal-statistics in QGIS. This study performed a spatial lag regression to evaluate association of malnutrition with climate characteristics and other factors. The prevalence of malnutrition exhibited substantial association with temperature and precipitation. Food production, water access, improved sanitation, literacy, road density, solvency ratio and GDP had a significant association with the spatial variation of malnutrition in Bangladesh.
Introduction: Human exposure is the most visible effect of different pollutants, which come at a hidden cost to society due to their impacts on human health and the environment. Objective: The purpose of this research is to gain a better knowledge of the environmental effects of motorized vehicles’ gas emissions and the resulting economic losses in a developing country. Methods: In this paper, the authors estimated vehicular emissions, emission costs, climate change costs (CCCs), and noise pollution costs (NPCs) for 84 road segments (18 important intersections) in Dhaka City in 2009 and 2017. The top-down method was used to determine the vehicular emissions in each intersection using average daily traffic data and previously defined emission factors. Climatic change costs were evaluated using the damage cost approach, and noise pollution costs were estimated using the bottom-up noise exposure model.Results: Analysis showed that the enormous and uncontrolled surge in personal vehicles resulted in significant spikes in emissions as well as economic losses. Result shows the massive increase of all types of pollutants due to the rise of vehicular populations. From 2009 to 2017, the exhaust emission costs increased by 77.89%, (from 20.71 x 10(6) to 36.84 x 10(6) Tk/day), CCCs by 63.96% (from 18.73 x 10(6) to 30.71 x 10(6) Tk/day), NPCs by 101.61% (from 11.20 x 10(6) to 22.58 x 10(6) Tk/day). The study illustrated the spatial GHG emissions, CCCs, and NPCs statistics of all the traffic nodes and signified the regulation of vehicular activities in a sustainable manner. Conclusion: Proper adaptation of the recommended policies and strategies can improve the scenario and potentially lessen the other negative consequences.
WHAT IS ALREADY KNOWN ON THIS TOPIC? Different socioecological factors were associated with childhood pneumonia in Bangladesh. However, previous studies did not assess spatial patterns, and socioecological factors and spatial variation have the potential to improve the accuracy and predictive ability of existing models. WHAT IS ADDED BY THIS REPORT? The spatial random effects were present at the district level and were heterogeneous. Average temperature, temperature variation, and population density may influence the spatial pattern of childhood pneumonia in Bangladesh. WHAT ARE THE IMPLICATIONS FOR PUBLIC HEALTH PRACTICE? The study results will help policymakers and health managers to identify the vulnerable districts, plan further investigations, help to improve proper resource allocation, and improve health interventions.
Natural hazards disrupt the social-ecological system, causing much suffering, death, injury, and devastation of property and the environment. This study explores the factors influencing the disaster psychology and psychological adaptation of people living in disaster-vulnerable areas in Bangladesh. Data have been collected from 100 households in Bangladesh’s riverine island areas (char) of northern Bangladesh. Several criteria have been used to measure char dwellers’ disaster psychology (vulnerability concern, factor, and intensity) and psychological adaptation (weakness concern and emotional response). This study reveals that char dwellers perceived several hazards like floods (100%), riverbank erosion (83%), drought (29%), and earthquakes (14%). It is also found that females (88%) are more concerned about earthquakes than males (12%). The key vulnerability factors in the char areas are geographic position (100%), no access to migration (75%), resources (76%), housing (83%), training (18%), and alternative livelihood (24%). Flood and drought are identified as the most destructive hazards in char areas. Most household heads also felt anxiety (88%). fear (54%), helplessness, sadness, and anger due to natural hazards. The government should implement a context-specific disaster management plan to reduce household vulnerability and create livelihood opportunities in char areas to enhance char dwellers’ psychological resilience against disasters.
Access to quality and affordable mental health care is not always available to disaster-prone countries experiencing climate change, which may result in psychological trauma. Although environmental support has been provided, the consequences of disasters have not been addressed within the mental health realm. Inadequate knowledge and practice about crisis responses for mental health was addressed in Bangladesh with the influx of Rohingya people escaping persecution. To provide mental health support, Crisis Preparedness for Mental Health (CPM-MH) was developed and implemented addressing the psychological consequences of traumatic events. CP M-MH has its foundation in post-trauma stabilization through establishment of psychological equilibrium providing proactive rather than reactive methods linked to positive mental health outcomes. With adoption of CPM-MH in Bangladesh addressing mental health needs after traumatic events, mental health damage experienced by manmade and natural disasters may be considered the best strategy to build coping skills and resiliency for further traumatic event.
The monsoon season in Bangladesh is an example of how climate-related events can have a significant impact on mental wellbeing of affected individuals and communities. In this field report, we reflect on the integration of mental health and psychosocial support (MHPSS) services into emergency preparedness efforts. The report aims to offer an understanding of the risk associated with the monsoon season on both refugees and host communities and how likely this risk could affect mental health and mental health services. The MHPSS working group in Cox’s Bazar identified four major areas resulting from the impact of the monsoon season: increased incidence of mental health and psychosocial problems, relocation of individuals and families from high-risk areas to safer locations, disrupted provision of mental health and psychosocial services, and lack of self-care knowledge and practice for the humanitarian staff. To mitigate these impacts, an emergency preparedness and response plan was developed and included a wide range of activities aiming to better coordinate and scale up mental health services during the monsoon season.
Climate change adversely impacts the health and well-being of billions of people worldwide and will increasingly do so over the next few decades. Although all populations are at risk, some are more vulnerable than others. It is therefore critical to increase resilience to climate-related risks and build the capacity of national health systems by considering climate risks in health policy and decision making, strengthening leadership and governance to address impacts, and implementing strategies to build climate-resilient health care systems.
Bangladesh is a densely populated emerging country in South Asia. Since its harsh independence war, it has suffered from repeated floods and other natural and man-inflicted disasters. Internal migration from rural areas to the urban centres has increased crowdedness, pollution and social conflicts. Furthermore, in recent years, the country has absorbed close to a million refugees from Myanmar. These stressors have been associated with an increase in mental disorders and symptoms with which the country is struggling. Lack of resources and a shortage of human capital have weakened the national capacity to efficiently respond to situational stressors or disasters. For assessment of stress-related mental health issues, information available from the Ministry of Health and the National Institute of Mental Health was collected and supplemented by external reports. It is promising that the government’s approach of responding to mental health needs only after the occurrence of a crisis has recently been replaced by the concept of total management through primary healthcare. There is a need for development of adequate infrastructure, logistics and workforce support, as well as establishment of multidisciplinary teams of management and clinical services. Collaboration of all related sectors of the government and an overall increase in government funding for mental health are essential.
This study aimed at assessing the Livelihood Vulnerability Index (LVI) using the IPCC framework approach and a modified approach to estimate climate change vulnerability in south-west coastal area of Bangladesh. Nine Upazillas (sub-districts) in the south west coastal community were considered for this study. The major component indices of LVI such as socio-demographic profile, livelihood strategies, social network, health, food, water, natural disaster and climate variability were calculated based on the household survey data. The LVI based on the IPCC approach (LVI-IPCC) in nine upazillas in southwest coastal region of Bangladesh were found within a range of -0.02 to + 0.04 (on the scale of -1 to +1). In the modified approach. the LVI for the nine study areas was found within a wide range from 0.253 to 0.544 (on a scale of 0 to 1). For the LVI-IPCC approach, although the contributing factors (exposure, sensitivity and adaptive capacity) individually show variations in their indices from one to another, no significant variation is observed for the total livelihood index. However, the modified approach shows significant variation in LVI among the studied nine areas. It is concluded that the modified approach is suitable for community or district level assessment, whereas the LVI-IPCC may be suitable for regional level evaluation.
Bangladesh is one of the countries that is most likely to be affected by natural disasters and climate change. However, much less is known about the integrated livelihood and climate vulnerabilities of coastal communities to natural disasters in southwestern Bangladesh. Therefore, this paper proposes a holistic approach to measuring livelihood vulnerability in the southwestern coast of Bangladesh based on primary data from 300 respondents through face-to-face interviews, focus group discussion (FGD), and key informant interviews (KII), and secondary data on rainfall and temperature for the years 2010-2017. This study developed the livelihood vulnerability index (LVI), the climate vulnerability index (CVI), and the LVI-IPCC to estimate climate vulnerability by incorporating 36 indicators of 9 major components under three dimensions. The pragmatic results show that the three coastal unions have different LVI, CVI, and LVI-IPCC values. Still, the households of the Gabura union showed more vulnerability than the rest of the two, with the highest LVI, CVI, and LVI-IPCC values due to their inadequate access to fresh water, limited physical resources, fewest livelihood strategies, the least variety of crops, and worst health conditions. This logical approach may be applied in data-scarce regions to assess vulnerability and evaluate potential policy efficiency for baseline comparison. The study demonstrates that the requirement for focused interventions and context-specific sustainable policies and development approaches should be implemented to lessen the vulnerability of coastal dwellers. These findings have implications for developing and implementing household resilience and climate change adaptation projects by the government, donor organizations, and other pertinent groups in three susceptible unions.
This study has been conducted to identify vulnerabilities and effects of climate change on women in 12 unions in Shyamnagar upazila in the Satkhira district in the Southwestern Coastal Region of Bangladesh (SWCRB). Climate vulnerability and gender inequality may increase due to climate change. Women may, thus, face specific conditions of vulnerability in society and daily livelihood. This paper focuses on investigating factors that influence women’s vulnerability from climate change, their adaptations, and the importance of women empowerment to reduce their inequality in SWCRB. This study also emphasizes gender inequality caused by climate change, and looks at accommodations for women to reduce hostile influences of climate change. From the 9 unions in SWCRB, a total of 320 household respondents were randomly selected to complete a questionnaire. The results of the statistical analysis showed that most of the survey’s perimeter has significant. Interviews, case studies, focus group discussions, workshops, and key informant interviews were also conducted from 12 unions, and it was found that climate change impacts men and women differently, with women being more vulnerable than men. Through case study this paper investigated the main factors influencing the vulnerability of women. In terms of empowerment women may also be well positioned to lead adaptation efforts alongside men, as this analysis represent that gender inequalities are leading by social norms. Women being more vulnerable both in short-term i.e., major natural disasters, cyclones, flood, and long-term i.e., sea level rise, salinity intrusion in water and soil, land erosion, droughts, climatic events, as they enhance gender inequalities. Further, gender inequality is seen in illiteracy, food shortages and poor health conditions, traditional norms, religious taboos, and patriarchy. Moreover, gender-based economic opportunities, women’s mobility, and income are changing, while household authority relations and gender-based socio-economic, cultural, and institutional constraints remain. This study examines the increased vulnerability of women in SWCRB to climate change, which can be mitigated through women empowerment; female involvement with environmentally friendly stoves, rural electrification and renewable energy development, microfinancing, and nakshikantha. (Nakshikantha is a special type of sewing art that is made by creating designs with different types of colored threads on plain stitches). Lastly, women may also lead adaptation efforts alongside men, make decisions, and promote their participation.
Severe pneumonia is one of the leading contributors to morbidity and deaths among hospitalized under-five children. We aimed to assess the association of the socio-demographic characteristics of the patients and the climatic factors with the length of hospital stay (LoS) of under-five children with severe pneumonia managed at urban hospitals in Bangladesh. We extracted relevant data from a clinical trial, as well as collecting data on daily temperature, humidity, and rainfall from the Meteorological Department of Bangladesh for the entire study period (February 2016 to February 2019). We analyzed the data of 944 children with a generalized linear model using gamma distribution. The average duration of the hospitalization of the children was 5.4 ± 2.4 days. In the multivariate analysis using adjusted estimation of duration (beta; β), extended LoS showed remarkably positive associations regarding three variables: the number of household family members (β: 1.020, 95% confidence intervals (CI): 1.005-1.036, p = 0.010), humidity variation (β: 1.040, 95% Cl: 1.029-1.052, p < 0.001), and rainfall variation (β: 1.014, 95% Cl: 1.008-1.019), p < 0.001). There was also a significant negative association with LoS for children's age (β: 0.996, 95% Cl: 0.994-0.999, p = 0.006), well-nourishment (β: 0.936, 95% Cl: 0.881-0.994, p = 0.031), and average rainfall (β: 0.980, 95% Cl: 0.973-0.987, p < 0.001). The results suggest that the LoS of children admitted to the urban hospitals of Bangladesh with severe pneumonia is associated with certain socio-demographic characteristics of patients, and the average rainfall with variation in humidity and rainfall.
PURPOSE: This report describes the general impact and direct health effects including death and traumatic injuries on populations impacted by the 2017 landslides in the affected hilly and coastal districts in southeastern Bangladesh. The medical response including emergency treatment and rehabilitation provided at pre-hospital and hospital care sites is also described. MATERIALS AND METHODS: An electronic literature search of appropriate databases was performed to identify relevant articles on landslides in Bangladesh, Southeast Asia, and other developing countries from 1990-2017. Summary landslide impact data was extracted from official government and non-government reports and injury data from selected district and tertiary level hospitals was reviewed. RESULTS AND CONCLUSIONS: Most fatalities in the 2017 Bangladesh landslides were due to suffocation and asphyxiation from burial. In Rangamati District, 6343 persons with minor injuries were treated in 22 emergency shelters. One hundred fifty-four injuries were treated at Rangamati General Hospital and 12 of the most severely injured persons were referred to regional tertiary Chittagong Medical College Hospital for specialized injury and rehabilitation management. Physical rehabilitation capacity and services in future landslides may be increased by providing rehabilitation technical skills training to responders and augmenting the emergency response with individual rehabilitation specialists and/or teams of rehabilitation professionals.Implications for rehabilitationLandslides may result in significant direct health effects including death and rehabilitation conditions such as severe traumatic physical injuries and less severe musculoskeletal conditions.Pre-hospital and hospital emergency medical response systems may lack capacity to adequately manage the surge of rehabilitation conditions in landslides.Physical rehabilitation treatment capacity in future landslides may be increased by providing rehabilitation technical skills training to responders and augmenting the emergency response structure with individual rehabilitation specialists and/or teams of rehabilitation professionals.Rehabilitation, disability, emergency management, and other stakeholders are advised to employ such training and workforce strategies to reduce rehabilitation-related health effects in Bangladesh and other South-East Asian countries which are heavily impacted by landslides due to seasonal monsoons.
Bangladesh is repeatedly threatened by tropical storms and cyclones, exposing one-third of the total population of the country. As a preparedness measure, several cyclone shelters have been constructed, yet a large proportion of the coastal population, especially women, are unwilling to use them. Existing studies have demonstrated a range of concerns that discourage women from evacuating and have explored the limitations of the shelters, but the experiences of female evacuees have not been apparent in these stories. This study explores the lived-experiences of women in the cyclone shelters of Bangladesh and discusses their health and well-being as evacuees in the shelters. Nineteen women from three extremely vulnerable districts of coastal Bangladesh were interviewed. Seven research themes were identified from the participants’ narratives using van Manen’s thematic analysis process. The most salient theme, being understood (as a woman), portrayed the quintessential image of these women, which subsequently influenced their vulnerability as evacuees. The next themes-being a woman during crisis, being in a hostile situation, being fearful, being uncertain, being faithful, and being against the odds-focused on the incidents they lived through which affected their physical and mental health and the emotions they felt as evacuees. The paper offers a deep inquiry into women’s experiences of well-being in the shelters and recognizes the significance of women’s voices to improve their experiences as evacuees.
Every year Bangladesh faces enormous damages due to flooding. Facing these damages the Government adopts various recovery approaches. However, the psychological dimension of any disaster is generally overlooked in disaster management. Researchers have found that the spatial distribution of post-disaster mental health can help the authorities to apply recovery procedures where they are most needed. For this research, Posttraumatic Stress Checklist (PCL-5), Patient Health Questionnaire (PHQ-9) and Generalized Anxiety Disorder-7 (GAD-7) were used to estimate posttraumatic stress, major depressive disorder and anxiety following three episodes of severe floods in 2017 that affected at least 8 million people. To better understand the spatial pattern of psychological vulnerability and reach a comprehensive scenario of post-disaster mental health, Moran’s I was applied for spatial autocorrelation and Pearson’s correlation and regression analysis for a study of the relationship between the psychological aspects. It was found that psychological vulnerability showed a spatial clustering pattern and that there was a strong positive linear relationship among psychological aspects in the study area. This research might help to adopt disaster management policies that consider the psychological dimension and spatial distribution of various psychological aspects to identify areas characterized by high vulnerability and risk so that they can be reached without delay.
BACKGROUND: Bangladeshi flood survivors are reported with such higher mental disorders that are not ever observed in any other cohorts. Although there are a few studies that assessed mental disorders, suicide or suicidal behaviors are not investigated yet. Hence, the present study for the first time investigated suicidal behaviors and its relationship with socio-demographics, flood effects and psychopathology. METHODS: A cross-sectional interview study was carried out between November and December 2019, after 4/5 months of the flood occurrence. Two completely affected villages from two districts residing in two parts of the country were randomly selected (whereas Manikganj district was less affected by the recent flood compared to Kurigram), and a total of 348 flood survivors were interviewed (45.53 ± 14.85 years). Questions related to basic socio-demographics, flood effects, psychological impacts, and suicidal behaviors were asked in the interviews. RESULTS: In the total sample, 57.5% of flood survivors reported having suicidal ideation, whereas 5.7% and 2.0% madea suicide plan and suicide attempt, respectively. Within two study sites, participants belonging to Kurigram reported significantly higher suicidal ideation compared to Manikganj (84.8% vs 33.2%, χ (2) = 94.475, p<0.001). Belonging to a lower-class family, having less education, and less earning members in the family, being affected severely by the flood, suffering from depression, anxiety, and PTSD, and experiencing financial threat, and economic hardship were suicidal behavior risk factors in the total sample. CONCLUSION: Considering the present findings (ie, suicidality commensurately increases with flood effects), a multi-sectoral policy and its effective implementation should be adopted for alleviating the flood-related psychological burdens.
In the Ganges-Brahmaputra-Meghna delta, covering most of Bangladesh, more than 165 million people live in low-lying coasts facing major extreme climatic events, such as cyclones. This article reviews the current scientific literature publications (2007-2020) in order to define vulnerability in the context of coastal Bangladesh facing cyclonic flooding. Based on this review, a new metric, called the socio-spatial vulnerability index (SSVI), is defined as function of both the probability of the cyclonic flood hazard and the sensitivity of delta inhabitants. The main result shows that the districts of Shariatpur, Chandpur and Barisal situated in the tidal floodplain of the Ganges-Brahmaputra-Meghna delta are in the fourth quartile, i.e., highest category, the most vulnerable areas. These districts are very densely populated (from 870 up to 1400 inhabitants per square kilometer) and exposed to inundation hazards with a large number of vulnerability factors. Finally, the delta’s mouth was identified as a very vulnerable area to cyclonic flooding as well.
Floods are a common natural hazard in Bangladesh, and climate change is expected to further increase flooding frequency, magnitude and extent. Pregnant women in flood contexts could face challenges in utilisation of maternal healthcare. The aim of this paper is to analyse associations between flood exposure and the use of maternal healthcare (antenatal care visits, birth assisted by skilled birth attendants, and giving birth in a health facility) in Bangladesh for pregnancies/births between 2004 and 2018. Bangladesh Demographic and Health Survey data from four surveys in the time period 2007-2018 and data on floods from the Emergency Events Database and the Geocoded Disasters Dataset are analysed using multilevel linear probability models. In line with previous results, we find clear bivariate associations between exposure to flooding and maternal healthcare use. These associations are largely confounded by socioeconomic and demographic variables. In general, exposure to flooding – whether measured as exposure to any floods or severe floods – does not affect maternal healthcare use, and we suggest that the lower usage of maternal healthcare in areas exposed to flooding rather relates to the characteristics of the flood-prone areas and their populations, which also relate to lower maternal healthcare use. However, we find negative associations in some supplementary analyses, which suggest that even if there is no effect of floods on average, specific floods may have negative effects on maternal healthcare use.
Purpose The quality and availability of sexual and reproductive health care are key determinants to reducing maternal mortalities and morbidities in disaster settings; yet, these services are often lacking in developing countries. Reducing maternal mortality and morbidity is currently the main targets of the UN’s Sustainable Development Goal (SDG) 3. The purpose of this study was to develop an intervention package called RHCC (Reproductive Health Kit 8; Capacity building; Community awareness), and to implement and evaluate it in three primary health-care (PHC) facilities in Belkuchi, Bangladesh, in order to improve the quality and availability of post-abortion care (PAC) during the 2017 floods. Design/methodology/approach This research used both quantitative and qualitative methods to develop, implement and assess the RHCC in three flood-prone PHC facilities in Belkuchi. Findings The RHCC was implemented during the floods of 2017. The findings pre- and post-intervention suggest it led to an increase in skilled management among health workers, an increase in the quality of care for clients and the availability of PAC at three PHC facilities during floods. Originality/value Due to its geographic location, Bangladesh is exposed to recurrent floods and cyclones. Evidence-based integrated intervention packages, such as the RHCC, can improve the quality and availability of reproductive health care during disasters at PHC level and, in doing so, can promote the UN’s agenda on “disaster resilient health system” to achieve the SDG 3, and the WHO’s campaign on universal health coverage.
OBJECTIVES: As climate change continues to increase the frequency and severity of flooding in Bangladesh and globally, it becomes increasingly critical to understand the pathways through which flooding influences health outcomes, particularly in lower-income and subsistence-based communities. We aim to assess economic pathways that link flooding to nutritional outcomes among Shodagor fishing families in Bangladesh. METHODS: We examine longitudinal economic data on kilograms of fish caught, the income earned from those fish, and household food expenditures (as a proxy for dietary intake) from before, during, and after severe flooding in August-September of 2017 to enumerate the impacts of flooding on Shodagor economics and nutrition. We also analyze seasonally collected anthropometric data to model the effects of flooding and household food expenditures on child growth rates and changes to adult body size. RESULTS: While Shodagor fishing income declined during the 2017 flooding, food expenditures simultaneously spiked with market inflation, and rice became the predominant expenditure only during and immediately following the flood. Our nutritional models show that children and adults lost more body mass in households that spent more money on rice during the flood. Shodagor children lost an average of 0.36 BMI-for-age z-scores and adults lost an average of 0.32 BMI units during the flooded 2017 rainy season, and these metrics continued to decline across subsequent seasons and did not recover by the end of the study period in 2019. CONCLUSIONS: These results show major flood-induced economic impacts that contributed to loss of child and adult body mass among Shodagor fishing families in Bangladesh. More frequent and severe flooding will exacerbate these nutritional insults, and more work is needed to effectively stabilize household nutrition throughout natural disasters and economic hardship.
We study the educational outcomes of the 1974-75 Bangladesh famine among early life survivors using the 1991 Bangladesh micro-census data. We find that famine adversely affected survivor children in areas that experienced higher rice prices relative to labour wages. However, children living in wealthy households in famine-stricken areas escaped the adverse effects and had similar educational outcomes as those with no famine exposure. We also find that, surprisingly, exposure to a double catastrophe (i.e., concurrent famine and flood) in early life had weaker effects on survivor children’s education than exposure to a single catastrophe. We show that disaster-alleviation mechanisms were more effective in districts affected by double disasters.
This paper investigates the extent to which in-utero exposure to droughts influences the health outcomes of Bangladeshi children in early childhood. Exploiting the plausibly exogenous deviations of rainfall from the location-specific norms, we find that deficient rainfall during the prenatal period is harmful to child health. Specifically, in-utero exposure to droughts decreases the height-for-age, weight-for-height, and weight-for-age z-scores by 0.10, 0.11, and 0.11 standard deviations among children under five years old, respectively. Our heterogeneity analyses reveal that the adverse health setbacks fall disproportionately on children of disadvantaged backgrounds. Exploring the differential effects by trimesters of exposure, we further show that experiencing droughts during the second and the third trimesters leaves injurious effects on early childhood health.
BACKGROUND: Drought has been a considerable problem for many years in northern Bangladesh. However, the health impacts of drought in this region are not well understood. METHODS: This study analyzed the impact of drought duration and severity on select causes of mortality in northern Bangladesh. Rainfall data from three meteorological stations (Rangpur, Dinajpur and Nilphamari) in northern Bangladesh were used to assess drought and non-drought periods, and the Standardized Precipitation Index was used to categorize mild, moderate, severe, and extreme drought. Mortality data from 2007 to 2017 for the three areas were collected from the Sample Vital Registration System, which is a survey of 1 million people. The generalized linear model with Poisson regression link was used to identify associations between mortality and the drought severity and 1-month preceding SPI. RESULTS: Only severe and extreme drought in the short-term drought periods affected mortality. Long-term drought was not associated with natural cause mortality in Rangpur and Nilphamari. In Dinajpur, mild and moderate drought was associated with circulatory- and respiratory-related mortality. CONCLUSION: The impact of drought on mortality varied by region. This study improves our understanding of how droughts affect specific causes of mortality and will help policy makers to take appropriate measures against drought impacts on selected cause of mortality. Future research will be critical to reduce drought-related risks of health.
The aim of this study was to develop a database of historical cold-related mortality in Bangladesh using information obtained from online national newspapers and to analyze such data to understand the spatiotemporal distribution, demographic dynamics, and causes of deaths related to cold temperatures in winter. We prepared a comprehensive database containing information relating to the winter months (December to February) of 2009-2021 for the eight administrative divisions of Bangladesh and systematically removed redundant records. We found that 1249 people died in Bangladesh during this period due to cold and cold-related illnesses, with an average of 104.1 deaths per year. The maximum number of cold-related deaths (36.51%) occurred in the Rangpur Division. The numbers were much higher here than in the other divisions because Rangpur has the lowest average monthly air temperature during the winter months and the poorest socioeconomic conditions. The primary peak of cold-related mortality occurred during 21-31 December, when cold fronts from the Himalayas entered Bangladesh through the Rangpur Division in the north. A secondary peak occurred on 11-20 January each year. Our results also showed that most of the cold-related mortality cases occurred when the daily maximum temperature was lower than 21 °C. Demographically, the highest number of deaths was observed in children aged six years and under (50.68%), followed by senior citizens 65 years and above (20.42%). Fewer females died than males, but campfire burns were the primary cause of female deaths. Most mortality in Bangladesh was due to the cold (75.5%), cold-triggered illness (10.65%), and campfire burns (5.8%). The results of this research will assist policymakers in understanding the importance of taking necessary actions that protect vulnerable public health from cold-related hazards in Bangladesh.
Cyclone Amphan battered the coastal communities in the southwestern part of Bangladesh in 2020 during the COVID-19 pandemic. These coastal communities were experiencing such a situation for the first time and faced the dilemma of whether to stay at home and embrace the cyclone or be exposed to the COVID-19 virus in the cyclone shelters by evacuating. This article intends to explore individuals’ decisions regarding whether to evacuate in response to cyclone Amphan and in light of the risks of the COVID-19 pandemic. Consequently, this study investigated evacuation behaviors among the households and explored the impacts of COVID-19 during the evacuation procedures. We conducted household surveys to collect primary information and undertook 378 samples for interviews at a precision level of 0.05 in fourteen villages. Despite the utmost effort of the government, the results demonstrated that 96.6% of people in the coastal area received a cyclone evacuation order before the cyclone’s landfall, and only 42% of people followed the evacuation order. The majority of households chose to stay at home because of fear of COVID-19 exposure in the crowded shelters. Although half of the evacuees were housed in cyclone shelters, COVID-19 preventive measures were apparently not set in place. Thus, this study will assist in crafting future government policies to enhance disaster evacuation plans by providing insights from the pandemic that can inform disaster management plans in the Global South.
Vector-borne disease risk assessment is crucial to optimize surveillance, preventative measures (vector control), and resource allocation (medical supplies). High arthropod abundance and host interaction strongly correlate to vector-borne pathogen transmission. Increasing host density and movement increases the possibility of local and long-distance pathogen transmission. Therefore, we developed a risk-assessment framework using climate (average temperature and rainfall) and host demographic (host density and movement) data, particularly suitable for regions with unreported or underreported incidence data. This framework consisted of a spatiotemporal network-based approach coupled with a compartmental disease model and nonhomogeneous Gillespie algorithm. The correlation of climate data with vector abundance and host-vector interactions is expressed as vectorial capacity-a parameter that governs the spreading of infection from an infected host to a susceptible one via vectors. As an example, the framework is applied for dengue in Bangladesh. Vectorial capacity is inferred for each week throughout a year using average monthly temperature and rainfall data. Long-distance pathogen transmission is expressed with human movement data in the spatiotemporal network. We have identified the spatiotemporal suitability of dengue spreading in Bangladesh as well as the significant-incidence window and peak-incidence period. Analysis of yearly dengue data variation suggests the possibility of a significant outbreak with a new serotype introduction. The outcome of the framework comprised spatiotemporal suitability maps and probabilistic risk maps for spatial infection spreading. This framework is capable of vector-borne disease risk assessment without historical incidence data and can be a useful tool for preparedness with accurate human movement data.
Dengue is endemic in Bangladesh and is an important cause of morbidity and mortality. Suppressing the mosquito vector activity at the optimal time annually is a practical strategy to control dengue outbreaks. The objective of this study was to estimate the monthly growth factor (GF) of dengue cases over the past 12 years as a means to identify the optimal time for a vector-control programme in Bangladesh. We reviewed the monthly cases reported by the Institute of Epidemiology, Disease Control and Research of Bangladesh during the period of January 2008-December 2019. We calculated the GF of dengue cases between successive months during this period and report means and 95% confidence intervals (CI). The median number of patients admitted to the hospital with dengue fever per year was 1554 (range: 375-101,354). The mean monthly GF of dengue cases was 1.2 (95% CI: 0.4-2.4). The monthly GF lower CI between April and July was > 1, whereas from September to November and January the upper CI was <1. The highest GF of dengue was recorded in June (mean: 2.4; 95% CI: 1.7-3.5) and lowest in October (mean: 0.43; 95% CI: 0.24-0.73). More than 81% (39/48) months between April and July for the period 2008-2019 had monthly GF >1 compared to 20% (19/96) months between August and March of the same period. The monthly GF was significantly correlated with monthly rainfall (r = 0.39) and monthly mean temperature (r = 0.30). The growth factor of the dengue cases over the last 12 years appeared to follow a marked periodicity linked to regional rainfall patterns. The increased transmission rate during the months of April-July, a seasonally determined peak suggests the need for strengthening a range of public health interventions, including targeted vector control efforts and community education campaigns.
Numerous studies on climate change and variability have revealed that these phenomena have noticeable influence on the epidemiology of dengue fever, and such relationships are complex due to the role of the vector—the Aedes mosquitoes. By undertaking a step-by-step approach, the present study examined the effects of climatic factors on vector abundance and subsequent effects on dengue cases of Dhaka city, Bangladesh. Here, we first analyzed the time-series of Stegomyia indices for Aedes mosquitoes in relation to temperature, rainfall and relative humidity for 2002–2013, and then in relation to reported dengue cases in Dhaka. These data were analyzed at three sequential stages using the generalized linear model (GLM) and generalized additive model (GAM). Results revealed strong evidence that an increase in Aedes abundance is associated with the rise in temperature, relative humidity, and rainfall during the monsoon months, that turns into subsequent increases in dengue incidence. Further we found that (i) the mean rainfall and the lag mean rainfall were significantly related to Container Index, and (ii) the Breteau Index was significantly related to the mean relative humidity and mean rainfall. The relationships of dengue cases with Stegomyia indices and with the mean relative humidity, and the lag mean rainfall were highly significant. In examining longitudinal (2001–2013) data, we found significant evidence of time lag between mean rainfall and dengue cases.
RATIONALE: To date, there is no published local epidemiological evidence documenting the respiratory health effects of source specific air pollution in South Asia, where PM2.5 composition is different from past studies. Differences include more biomass and residue crop-burning emissions, which may have differing health implications. OBJECTIVES: We assessed PM2.5 associations with respiratory emergency department (ED) visits in a biomass-burning dominated high pollution region, and evaluated their variability by pollution source and composition. METHODS: Time-series regression modeling was applied to daily ED visits from January 2014 through December 2017. Air pollutant effect sizes were estimated after addressing long-term trends and seasonality, day-of-week, holidays, relative humidity, ambient temperature, and the effect modification by season, age, and sex. RESULTS: PM2.5 yielded a significant association with increased respiratory ED visits [0.84% (95% CI: 0.33%, 1.35%)] per 10 μg/m3 increase. The PM2.5 health effect size varied with season, the highest being during monsoon season, when fossil-fuel combustion sources dominated exposures. Results from a source-specific health effect analysis was also consistent with fossil-fuel PM2.5 having a larger effect size per 10 μg/m3 than PM2.5 from other sources [fossil-fuel PM2.5: 2.79% (0.33% to 5.31%), biomass-burning PM2.5: 1.27% (0% to 2.54%), and other-PM2.5: 0.95% (0.06% to 1.85%)]. Age-specific associations varied, with children and older adults being disproportionately affected by the air pollution, especially by the combustion-related particles. CONCLUSIONS: This study provided novel and important evidence that respiratory health in Dhaka is significantly affected by particle air pollution, with a greater health impact by fossil-fuel combustion derived PM2.5.
Bangladesh’s unique climate vulnerability is well-investigated but the mental health impacts of climate change remain relatively unexplored. Three databases were searched for English primary qualitative studies published between 2000 and 2020. Out of 1202 publications, 40 met the inclusion criteria. This systematic review applies a systems approach to further understand Bangladesh’s ‘climate-wellbeing’ network. The literature indicates diverse factors linking environmental stress and mental ill-health including four key themes: (1) post-hazard mental health risks, (2) human (im)mobility, (3) social tension and conflict, and (4) livelihood loss and economic hardship. This systems analysis also revealed that people’s mental wellbeing is strongly mediated by socio-economic status and gender. The article illustrates how multiple pathways may amplify stress, anxiety, violence, and psychological damage. Greater recognition of the ‘climate-wellbeing’ connections, and incorporation of mental health in current climate action and policy frameworks, will be an effective way to achieve a more sustainable future.
Secure potable water is indispensable to life. The presence of salinity in potable water has become a serious problem worldwide and it is essential to ensure secure potable water, particularly in the coastal areas of Bangladesh. In this work, 48 (forty-eight) harvested rainwater samples were assessed from Upazila (sub-district) of Mongla and Sarankhola, Bagerhat district, Bangladesh during the monsoon (May) and post-monsoon (October) periods. The objective was to examine the effect of seasonal variations on the quality of harvested rainwater. The harvested rainwater was analyzed for fecal coliform, total coliform, lead (Pb), zinc (Zn), pH, and turbidity. The mean pH in monsoon and post-monsoon periods was 6.93 and 7.24, respectively, which was within both the WHO guideline and Bangladesh Drinking Standard. In the monsoon season, turbidity levels in samples met the Bangladesh water quality standard but 10% of the harvested rainfall samples had Pb levels that exceeded the WHO drinking water limit. The turbidity of harvested rainwater in post-monsoon exceeded the WHO and Bangladesh Drinking Standard by 21% (10 out of 48) and 6% (3 out of 48), respectively. The fecal coliform of harvested rainwater exceeded both WHO and Bangladesh Drinking Standard by 56% (27 out of 48) and 67% (32 out of 48) in the monsoon and post-monsoon, correspondingly. Conversely, total coliform of harvested rainwater exceeded both the WHO and Bangladesh Drinking Standard by 67% (32 out of 48) and 79% (38 out of 48), accordingly in the monsoon and post-monsoon seasons. The Zn was below the WHO and Bangladesh Drinking Standard but Pb exceeded the WHO guideline in the monsoon and post-monsoon by 15% (7 out of 48) and 17% (8 out of 48), respectively. Pb is toxic to humans and children are especially vulnerable. The harvested rainwater should be treated effectively to reduce the toxicity and danger posed by Pb, fecal coliform, and total coliform before it is fit for drinking purposes.
Bangladesh stands out as a climate change hot spot due to its unique geography, climate, high population density, and limited adaptation capacity. Mounting evidence suggests that the country is already suffering from the effects of climate change which may get worse without aggressive action. Here, we use an ensemble of high-resolution (10 km) regional climate model simulations to project near-term change in climate extremes, mainly heat waves and intense rainfall, for the period (2021–2050). Near-term climate projections represent a valuable input for designing sound adaptation policies. Our climate projections suggest that heatwaves will become more frequent and severe in Bangladesh under the business-as-usual scenario (RCP8.5). In particular, extremes of wet-bulb temperature (a temperature and humidity metric important in evaluating humid heat stress) in the western part of Bangladesh including Bogra, Ishurdi, and Jessore are likely to exceed the extreme danger threshold (according to U.S. National Weather Service criterion), which has rarely been observed in the current climate. The return periods of extreme heat waves are also significantly shortened across the country. In addition, country-averaged rainfall is projected to increase by about 6% during the summer months, with the largest increases (above 10%) in the eastern mountainous areas, such as Sylhet and Chittagong. Meanwhile, insignificant changes in extreme rainfall are simulated. Our results suggest that Bangladesh is particularly susceptible to climate extremes in the near future, in the form of extreme heat waves over the western part of the country.
Bangladesh is a country of natural disasters and climatic hazards, which frequently affect its inhabitants’ lives and livelihoods. Among the various risks and disasters, floods are the most frequent hazard that makes haor households vulnerable. Therefore, this study was undertaken to estimate livelihood vulnerability to flooding within the flood-prone haor ecosystem in Bangladesh. Primary data were collected from 100 haor households each from Kishoreganj, Netrokona, and Sunamganj districts (N?=?300) by applying a multistage random sampling technique. Data were collected through face-to-face interviews using a pretested structured questionnaire. The Livelihood Vulnerability Index (LVI) and the Intergovernmental Panel on Climate Change (IPCC) framework of vulnerability were applied to compare vulnerabilities among the selected haor-based communities. The empirical results revealed that haor households in Sunamganj district were more vulnerable to flood hazard and natural disaster in terms of food, water, and health than households in the other two districts. Taking into account the major components of the LVI, the IPCC framework of vulnerability indicated that households in Sunamganj district were the most vulnerable due to their lowest adaptive capacity and highest sensitivity and exposure. These findings enable policymakers to formulate and implement effective strategies and programs to minimize vulnerability and enhance resilience by improving the livelihoods of the vulnerable haor households of Bangladesh, especially those in Sunamganj district.
Non-migration is an adaptive strategy that has received little attention in environmental migration studies. We explore the leveraging factors of non-migration decisions of communities at risk in coastal Bangladesh, where exposure to both rapid- and slow-onset natural disasters is high. We apply the Protection Motivation Theory (PMT) to empirical data and assess how threat perception and coping appraisal influences migration decisions in farming communities suffering from salinization of cropland. This study consists of data collected through quantitative household surveys (n?=?200) and semi-structured interviews from four villages in southwest coastal Bangladesh. Results indicate that most respondents are unwilling to migrate, despite better economic conditions and reduced environmental risk in other locations. Land ownership, social connectedness, and household economic strength are the strongest predictors of non-migration decisions. This study is the first to use the PMT to understand migration-related behaviour and the findings are relevant for policy planning in vulnerable regions where exposure to climate-related risks is high but populations are choosing to remain in place.
This study aims to explore the impact of climate change on health, including local adaptation strategies. A mixed-method approach has been used in this study. The results reveal that increasing the frequency of flooding, severity of riverbank erosion and drought, and rising disease outbreak are the highest indicators of climate change perceived by riverine island (char) dwellers, which is similar to the observed data. It also uncovers, approximately all respondents encounter several health-related issues during different seasons where prevailing cold and cough with fever, skin diseases, and diarrhoea are the leading ailments. Several adaptation strategies are accommodated by char inhabitants in order to enhance resilience against the climate change health impacts, but the paucity of money, disrupted communication, lack of formal health-care centre are the most obstacles to the sustainability of adaptation. This research recommends that healthcare-associated project should be performed through proper monitoring for exterminating char dwellers’ health issues.
Floods are the most common hazard in Bangladesh adversely affecting the lives and livelihoods of millions of riverine people. Flood-affected households adopt a variety of post-disaster mitigation measures, to the best of their ability, in recognition that similar events are likely to occur again in the future. However, little is known about what drives a household to adopt risk mitigation measures after experiencing a severe flood. The objective of this study was to investigate the determinants of households’ decisions on the implementation of flood risk mitigation measures, following the severe flood in 2017 in northern Bangladesh. The data used for this study were collected from the right bank of the Teesta River in Bangladesh through a survey of 377 households and six key informant interviews. Most of the households (83.3%) adopted at least one risk mitigation measure from either structural or nonstructural categories after the 2017 flood. Binary logistic regression models provide useful insights into the determinants of the implementation of mitigation measures and intention to implement mitigation measures in future. The results showed that the perceived probability of flood, perceived preparedness, flood experience, exposure to flood, membership, household head’s sex, income source, and landownership significantly influenced households to implement mitigation measures in the post-disaster period. Additionally, the intention to implement mitigation measures was influenced by the membership and education of households. This study contributes in terms of useful information about the determinants of post-disaster mitigation measures in riverine areas of Bangladesh. These findings can be used to target specific households to promote disaster risk reduction interventions.
BACKGROUND: Climate change influences patterns of human mobility and health outcomes. While much of the climate change and migration discourse is invested in quantitative predictions and debates about whether migration is adaptive or maladaptive, less attention has been paid to the voices of the people moving in the context of climate change with a focus on their health and wellbeing. This qualitative research aims to amplify the voices of migrants themselves to add nuance to dominant migration narratives and to shed light on the real-life challenges migrants face in meeting their health needs in the context of climate change. METHODS: We conducted 58 semi-structured in-depth interviews with migrants purposefully selected for having moved from rural Bhola, southern Bangladesh to an urban slum in Dhaka, Bangladesh. Transcripts were analysed using thematic analysis under the philosophical underpinnings of phenomenology. Coding was conducted using NVivo Pro 12. FINDINGS: We identified two overarching themes in the thematic analysis: Firstly, we identified the theme “A risk exchange: Exchanging climate change and health risks at origin and destination”. Rather than describing a “net positive” or “net negative” outcome in terms of migration in the context of climate change, migrants described an exchange of hazards, exposures, and vulnerabilities at origin with those at destination, which challenged their capacity to adapt. This theme included several sub-themes-income and employment factors, changing food environment, shelter and water sanitation and hygiene (WaSH) conditions, and social capital. The second overarching theme was “A changing health and healthcare environment”. This theme also included several sub-themes-changing physical and mental health status and a changing healthcare environment encompassing quality of care and barriers to accessing healthcare. Migrants described physical and mental health concerns and connected these experiences with their new environment. These two overarching themes were prevalent across the dataset, although each participant experienced and expressed them uniquely. CONCLUSION: Migrants who move in the context of climate change face a range of diverse health risks at the origin, en route, and at the destination. Migrating individuals, households, and communities undertake a risk exchange when they decide to move, which has diverse positive and negative consequences for their health and wellbeing. Along with changing health determinants is a changing healthcare environment where migrants face different choices, barriers, and quality of care. A more migrant-centric perspective as described in this paper could strengthen migration, climate, and health governance. Policymakers, urban planners, city corporations, and health practitioners should integrate the risk exchange into practice and policies.
INTRODUCTION: Global climate change has produced growing natural disasters across the world especially in Global South. Different countries experience varied vulnerabilities depending on their geographical location, economic status and ability of management. In a highly disaster susceptible developing country like Bangladesh, many individuals experience a greater rate of natural disasters with devastating health effects. Compare with men, women have a higher incidence of mortality and health effects following natural disasters. The study aims to explore women’s experience of physical and psychological health vulnerabilities with primary causes in natural disaster-affected areas of Bangladesh. METHODS AND ANALYSIS: This is an exploratory mixed-method study comprising survey and in-depth interviews with equal priority to identify physical and psychological health vulnerabilities of women living in natural disaster-affected areas of Bangladesh. Quantitative data will be collected using self-administered sociodemographic and perceived severity instrument, 12-item Short-Form, Impact of Event Scale-Revised and Brief Coping Scale, while specific open-ended guidelines will be used for the qualitative part. The instruments will be translated into Bangla following the Brislin (1970) model of translation. The survey will be administered in paper copies, with at least 384 respondents, whereas 30 participants will be in-depth interviewed using an audio recorder. Survey data will be analysed using SPSS V.25 following descriptive and inferential statistics as required. The recorded open-ended responses will be transcribed and analysed using thematic analysis. Finally, both data sets will be integrated and synthesised according to the sequential mixed-method approach. ETHICS AND DISSEMINATION: The study has been reviewed and approved by the Human Research Ethics Committee of the University of New England. The results will be actively disseminated through peer-reviewed journals, conference presentations, social media, the internet and various community engagement activities.
Existing efforts to ensure safe water access in coastal Bangladesh are challenged by increasing freshwater salinity. This research explored/explores safe water consumption choices in coastal Bangladesh, which data are scarce to date, using a mixed-methods approach. In 2014, a cross-sectional survey was conducted in southwestern coastal Bangladesh (n=261) and data was generated on water supply and consumption. Data collection also involved 29 in-depth interviews of household care givers and focus group discussions were performed with three community groups. Descriptive statistics were applied to analyse quantitative data and thematic analysis was used for qualitative data. The survey showed that 60% of the study population used tube well water while 40% used pond water for drinking. It was observed that for cooking purposes, the use of pond water was slightly higher than the tube well water. Only 13% of the respondents mentioned that their drinking water tasted salty whereas 6% of the respondents reported health problem (diarrhoea, dysentery, gastric issues and skin problems) after using these water sources. The qualitative data reveals that water available for drinking and cooking is causing a serious threat to this coastal community, particularly during the dry season. In-depth assessments indicated that drinking water choices were less driven by concerns for health than practical issues such as travel distance and time taken and taste. The palatability of water was an important determinant of choice for drinking and other domestic uses. Furthermore, the utility of alternative options for safe drinking water is driven by beliefs and traditions and source maintenance. Given the increasing salinisation of freshwaters in many low-lying countries and likely exacerbation related to climate change-induced sea level rise, therefore, promotion of low saline drinking water along with salt reducing interventions consider that community beliefs and practices must be a made priority.
Levees protect floodplain areas from frequent flooding, but they can paradoxically contribute to more severe flood losses. The construction or reinforcement of levees can attract more assets and people in flood-prone area, thereby increasing the potential flood damage when levees eventually fail. Moreover, structural protection measures can generate a sense of complacency, which can reduce preparedness, thereby increasing flood mortality rates. We explore these phenomena in the Jamuna River floodplain in Bangladesh. In this study area, different levels of flood protection have co-existed alongside each other since the 1960s, with a levee being constructed only on the right bank and its maintenance being assured only in certain places. Primary and secondary data on population density, human settlements, and flood fatalities were collected to carry out a comparative analysis of two urban areas and two rural areas with different flood protection levels. We found that the higher the level of flood protection, the higher the increase of population density over the past decades as well as the number of assets exposed to flooding. Our results also show that flood mortality rates associated with the 2017 flooding in Bangladesh were lower in the areas with lower protection level. This empirical analysis of the unintended consequences of structural flood protection is relevant for the making of sustainable policies of disaster risk reduction and adaptation to climate change in rapidly changing environments.
Exposure to extreme climate events causes population displacement and adversely affects the health of mothers and children in multiple ways. This paper investigates the effects of displacement on whether a child is delivered at a health center, as opposed to at home, and on postnatal care service utilization in Bangladesh. Using cross-sectional survey data from 599 mothers who gave birth in the three years prior to the date of interview, including 278 from households which had previously been displaced and 231 from households which had not been displaced, we use multivariate logistic regression to identify the factors associated with maternal healthcare service utilization. The results show that displaced households’ mothers are only about a quarter as likely to deliver at a health center as mothers from non-displaced households. The use of health center-based delivery decreases as the numbers of past displacements increases. Higher number of previous children, lower use of antenatal care during pregnancy, lower household income, and lack of access to radio/television also significantly reduce a mother’s likelihood of delivery at a health center. Displaced mothers are also substantially less likely to use postnatal care services for their neonates, especially those supplied by trained providers. Use of health facilities for delivery, use of antenatal care services, and previous number of children are other important predictors of postnatal care service utilization for neonates. In light of these findings, relocation of local health facilities with basic and emergency care provisions to areas in which the displaced have resettled, reinforcement of Family Planning services, and extension of coverage of the Maternity Allowance benefits in the displacement-prone mainland riverine areas are recommended policy responses.
OBJECTIVE: Floods are one of the most common types of disasters in Bangladesh and lead to direct and indirect impacts on health. The aim of the study was to assess the impact of floods on Maternal and Newborn Healthcare (MNH) utilization in Bangladesh between the years 2011 and 2014. METHODS: We used variables from the Bangladesh Demographic and Health Survey 2014 data and georeferenced data of floods between 2011 and 2014 from the Emergency Events Database. Multivariate logistic regression was used to determine whether the flood-affected exposures were significant in predicting differences in MNH utilization. RESULTS: The odds for the received antenatal care by skilled providers, institutional deliveries, deliveries by c-section, and postnatal care of the babies were significantly lower (Unadjusted OR?=?0.81, 0.88, 0.83, and 0.82 respectively; P?
OBJECTIVES: Pneumonia is a significant contributor to mortality and morbidity in children aged <5 years, and it is also one of the leading causes of hospitalisation for children in this age group. This study assessed the association between climate variability, patient characteristics (i.e. age, sex, weight, parental education, socio-economic status) and length of stay (LOS) in hospital for childhood pneumonia and its economic impact on rural Bangladesh. STUDY DESIGN: An ecological study design was used. METHODS: Data on daily hospitalisation for pneumonia in children aged <5 years (including patient characteristics) and daily climate data (temperature and relative humidity) between 1st January 2012 and 31st December 2016 were obtained from the Matlab Hospital (the International Centre for Diarrhoeal Disease Research, Bangladesh) and the Bangladesh Meteorological Department, respectively. A generalised linear model with Poisson link was used to quantify the association between climate factors, patient characteristics and LOS in hospital. RESULTS: The study showed that average temperature, temperature variation and humidity variation were positively associated with the LOS in hospital for pneumonia. A 1°C rise in average temperature and temperature variation during hospital stay increased the LOS in hospital by 1% (relative risk [RR]: 1.010, 95% confidence interval [CI]: 1.001-1.018) and 9.3% (RR: 1.093, 95% CI: 1.051-1.138), respectively. A 1% increase in humidity variation increased the LOS in hospital for pneumonia by 2.2% (RR: 1.022, 95% CI: 1.004-1.039). In terms of economic impact, for every 1° C temperature variation during the period of hospital stay, there is an addition of 0.81 USD/day/patient as a result of direct costs and 1.8 USD/day/patient for total costs. Annually, this results in an additional 443 USD for direct and 985 USD for total costs. CONCLUSIONS: Climate variation appears to significantly contribute to the LOS in hospital for childhood pneumonia. These findings may help policymakers to develop effective disease management and prevention strategies.
This paper aims to scrutinize in what way peri-urbanization triggers climate change vulnerabilities. By using spatial analysis techniques, the study undertakes the following tasks. First, the study demarcates Dhaka’s-the capital of Bangladesh-peri-urban growth pattern that took place over the last 24-year period (1992-2016). Afterwards, it determines the conformity of ongoing peri-urban practices with Dhaka’s stipulated planning documents. Then, it identifies Dhaka’s specific vulnerabilities to climate change impacts-i.e., flood, and groundwater table depletion. Lastly, it maps out the socioeconomic profile of the climate change victim groups from Dhaka. The findings of the study reveal that: (a) Dhaka lacks adequate development planning, monitoring, and control mechanisms that lead to an increased and uncontrolled peri-urbanization; (b) Dhaka’s explicitly undefined peri-urban growth boundary is the primary factor in misguiding the growth pockets-that are the most vulnerable locations to climate change impacts, and; (c) Dhaka’s most vulnerable group to the increasing climate change impacts are the climate migrants, who have been repeatedly exposed to the climate change-triggered natural hazards. These study findings generate insights into peri-urbanization-triggered climate change vulnerabilities that aid urban policymakers, managers, and planners in their development policy, planning, monitoring and control practices.
Malaria occurrence in the Chittagong Hill Tracts in Bangladesh varies by season and year, but this pattern is not well characterized. The role of environmental conditions on the occurrence of this vector-borne parasitic disease in the region is not fully understood. We extracted information on malaria patients recorded in the Upazila (sub-district) Health Complex patient registers of Rajasthali in Rangamati district of Bangladesh from February 2000 to November 2009. Weather data for the study area and period were obtained from the Bangladesh Meteorological Department. Non-linear and delayed effects of meteorological drivers, including temperature, relative humidity, and rainfall on the incidence of malaria, were investigated. We observed significant positive association between temperature and rainfall and malaria occurrence, revealing two peaks at 19 °C (logarithms of relative risks (logRR) = 4.3, 95% CI: 1.1-7.5) and 24.5 °C (logRR = 4.7, 95% CI: 1.8-7.6) for temperature and at 86 mm (logRR = 19.5, 95% CI: 11.7-27.3) and 284 mm (logRR = 17.6, 95% CI: 9.9-25.2) for rainfall. In sub-group analysis, women were at a much higher risk of developing malaria at increased temperatures. People over 50 years and children under 15 years were more susceptible to malaria at increased rainfall. The observed associations have policy implications. Further research is needed to expand these findings and direct resources to the vulnerable populations for malaria prevention and control in the Chittagong Hill Tracts of Bangladesh and the region with similar settings.
BACKGROUND: Dengue, a febrile illness, is caused by a Flavivirus transmitted by Aedes aegypti and Aedes albopictus mosquitoes. Climate influences the ecology of the vectors. We aimed to identify the influence of climatic variability on the occurrence of clinical dengue requiring hospitalization in Zone-5, a high incidence area of Dhaka City Corporation (DCC), Bangladesh. METHODS AND FINDINGS: We retrospectively identified clinical dengue cases hospitalized from Zone-5 of DCC between 2005 and 2009. We extracted records of the four major catchment hospitals of the study area. The Bangladesh Meteorological Department (BMD) provided data on temperature, rainfall, and humidity of DCC for the study period. We used autoregressive integrated moving average (ARIMA) models for the number of monthly dengue hospitalizations. We also modeled all the climatic variables using Poisson regression. During our study period, dengue occurred throughout the year in Zone-5 of DCC. The median number of hospitalized dengue cases was 9 per month. Dengue incidence increased sharply from June, and reached its peak in August. One additional rainy day per month increased dengue cases in the succeeding month by 6% (RR = 1.06, 95% CI: 1.04-1.09). CONCLUSIONS: Dengue is transmitted throughout the year in Zone-5 of DCC, with seasonal variation in incidence. The number of rainy days per month is significantly associated with dengue incidence in the subsequent month. Our study suggests the initiation of campaigns in DCC for controlling dengue and other Aedes mosquito borne diseases, including Chikunguniya from the month of May each year. BMD rainfall data may be used to determine campaign timing.
Floods are one of the greatest hazards in Bangladesh. It is assumed that people who reside in a riverine area have adapted to flood pulses. However, in most cases, household-level risk-reduction strategies are inadequate for ensuring a livelihood resilient to floods. This is because riverine people are exposed to recurrent floods, which increases their vulnerability to floods. In order to formulate effective risk-reduction policies and programs for riverine areas, it is crucial to measure flood risk at the local level. This study, therefore, aims to assess the flood risk of riverine households. A multi-dimensional integrated flood risk assessment framework was adopted to quantify household-level flood risk. Using a systematic random sampling technique, 377 respondents from the right bank of the Teesta River in Bangladesh were interviewed to characterize flood hazards, exposure to floods, and their vulnerability and capacity to absorb flood risk. The survey also includes key informant interviews. The collected data were aggregated using a composite index, while comparing the components of flood risk. Descriptive and analytical statistics were also computed. The results showed that flood risk was higher in downstream areas, followed by upstream areas and the midstream segments of the right bank of the Teesta River. The degree of flood risk in these three clusters was significantly different. A significant negative correlation was observed between vulnerability and capacity. No significant associations were found between the exposure and vulnerability components. The multivariate analysis suggested that households’ perceived preparedness was influenced by their ability to responds to floods. The empirical approach presented in this study could be used to assess flood risk in other regions, especially where data is scarce.
