This study applies the Livelihood Vulnerability Index within the IPCC vulnerability framework (LVI-IPCC) to assess the vulnerability of households to climate change in Hue City, Vietnam. The research then seeks to identify critical factors contributing to household vulnerability to climate change via a regression model, while concurrently conducting an intersectional analysis that considers gender, geographical location, and economic status. Using a cross-sectional data collection methodology, we surveyed 1080 households across 36 communes/ wards in Hue City from October to December 2022 employing a semi-structured questionnaire. Our findings indicate that households situated on the periphery, particularly those recently incorporated, are at a higher risk of vulnerability to climate change and natural disasters. Poor households in peri-urban areas are the most susceptible to the impacts of environmental stressors. Furthermore, women are less adaptable than men, partly due to their limited decision-making power. Factors such as household head characteristics, degree of climate risk, food security, knowledge and skills, and social networks are identified as critical in contributing to vulnerability. Reconizing these, our study emphasizes the urgent need for integrated approaches to address multiple dimensions of vulnerability and climate change adaptation in Hue City and beyond. This includes investing in periurban areas, addressing poverty and inequality, promoting gender-sensitive approaches, and addressing the critical factors simultaneously to enhance the resilience of cities to climate change and natural disasters.
Household air conditioning is one of the most effective approaches for reducing the health impacts of heat exposure; however, few studies have measured the prevalence of household air conditioning in Canada. DATA AND METHODS: Data were obtained from the 2017 Canadian Community Health Survey and the 2017 Households and the Environment Survey. Statistics Canada linked the survey respondents and created survey weights. Four heat-vulnerable populations were defined: older adults, older adults living alone, older adults with at least one health condition associated with reduced thermoregulation and older adults living alone and with a health condition associated with reduced thermoregulation. Weighted ratios and logistic regression models were used to analyze person-level air conditioning rates for national, regional and heat-vulnerable populations. RESULTS: Approximately 61% of the national population had household air conditioning. Regional rates ranged between 32% in British Columbia and 85% in Ontario. People living alone and people who did not own a home were significantly less likely to have air conditioning in Canada and in most regions. One heat vulnerable group, older adults living alone, had significantly lower air conditioning rates compared with the national and Ontario averages, at 56% and 81%, respectively. INTERPRETATION: This study is the first to quantify air conditioning prevalence in Canada at the person-level. The results of this study may inform heat-health policies and climate change adaptation strategies that aim to identify populations with high risks of heat-related mortality or morbidity and low access to household air conditioning.
As global average temperatures rise, so does the frequency and intensity of El Nino-induced droughts, which in turn threaten the reliability of hydropower. 1.4 billion people live in countries where hydropower constitutes more than a quarter of the electricity production and which have experienced El Nino droughts, meaning many more power outages can be expected around the world. Little research has been conducted on the impact of power outages on mental health. This study takes Zambia as its case study to examine the impact that El Nino droughts have had on the lives of householders connected to a highly hydropower-dependant electricity grid, and includes the impact it has had on their physical and self-reported mental health. Using 54 online responses to a survey, we found that the greatest impacts of outages spoiled food, compromised entertainment, compromised ability to work and limitation in cooking options. More than a fifth of respondents reported experiencing self-reported depression to a major degree or all of the time due to power outages, with individuals writing their own responses that they felt debilitated, experienced reduced communication and reduced activities, and stress. Using Bayesian inference, we found that changes in sleeping patterns arising from power outages was a statistically significant predictor of self-reported depression. 63% of surveyed households were willing to pay approximately USD 0.10/kWh as of the end of 2019, about double the tariff that they did, to ensure reliable electricity supply. Household income was a statistically significant predictor of willingness to pay more.
Regarding the predisposition of individuals to change when confronted with future climate scenarios, it is necessary to understand the perception of the groups under analysis and how to engage with society to collectively act toward climate change mitigation. A question remains to be answered: how to ensure that people engage, participate, and gain awareness of the undergoing problem that urban climate change poses for the future of cities’ management? This research intends to contribute to solving this question by raising another question: “How willing are residents of the Alvalade neighborhood (Lisbon) to change their behavior and way of life when faced with climate change scenarios?” We present a methodology using microclimatic modeling with ENVI-met and questionnaires for the resident community. The present and future local climate scenarios (representing a present hot day versus the extreme IPCC RCP 8.5 scenario) were presented to a set of residents. These figures show the projected UTCI (Universal Thermal Climate Index) in a dramatic but accurate aggravated way. The inquiries allowed us to conclude that people are more aware of local climate change and health risks from extremely hot summer weather, but they continue to resist adopting behavior change for adaptation, although most of them declared this could be important to tackle climate change. The second conclusion is that people think that local authorities should be more active than themselves and will have greater responsibility for climate change adaptation and interventions. In times of climate crisis, the participation of the resident community can be an important help in decision making and finding measures to mitigate adverse climate effects in urban environments.
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.
Introduction: Safe and easily accessible drinking water service generates substantial benefits for public health and the economy. Approximately 10% of the global burden of disease worldwide could be prevented with improved access to drinking water. The death of similar to 30% of children younger than 5 years in developing countries is attributable to inadequate access to improved drinking water. Despite the presence of abundant water sources in Ethiopia, uneven distribution and waste pollution coupled with unprecedented population growth, rapid urbanization, and climate change are hindering the country’s ability to maintain the balance between the demand and supply of accessible and improved drinking water services. The importance of up-to-date evidence for actions regarding the distribution of access to improved drinking water services is indicated by the Ethiopian Ministry of Water and Energy. Therefore, this study aimed to explore the spatial distribution and determinants of limited access to improved drinking water service among households in Ethiopia. Methods: This study used the 2019 Ethiopian Mini Demographic and Health Survey (EMDHS). The data were weighted using sampling weight to restore the representativeness and to obtain valid statistical estimates. After excluding ineligible households, a total weighted sample of 5,760 households was included in the final analysis. The analysis was performed using STATA version 14.2, ArcGIS Pro, and SaTScan version 10.1 software. To find significant determinants with limited access to improved drinking water service, we used a multilevel logistic regression model. A P-value of Results: This study found that in Ethiopia, 16.1% (95% CI: 15.2, 17.1) of households have limited access to improved drinking water services. The spatial distribution of households with limited access was identified to be clustered across a few regions of the country (Moran’s I = 0.17, p-value < 0.01). The most likely significant primary clusters with highly limited access were seen in the Somali region (RR = 4.16, LLR = 162.8), the border between Amhara and Afar region (RR = 4.74, LLR = 41.6), the border between Oromia and Afar region (RR = 5.21, LLR = 13.23), and the northeastern Tigray region (RR = 2.52, LLR = 9.87). The wealth index, the age of household head, residence, and region were significantly associated with limited access to improved drinking water service. A high rate of limited access to improved drinking water service is predicted in the southwestern part of Gambella, the northeastern part of Oromia, the southwestern part of South Nation Nationalities and Peoples' region, and part of the Oromia region that surrounds Addis Ababa. Conclusion: Limited access to improved drinking water service in Ethiopia varies across regions, and inequality in the service provision exists in the country. Prioritization and extra level of efforts should be made by concerned government and non-government organizations as well as other stakeholders for those underprivileged areas and groups of the population as they are found in the study.
Increasing frequencies of climate change-induced extreme weather events like prolonged droughts pose signif-icant challenges for small-scale subsistence farmers in sub-Saharan Africa, who rely on the yearly harvest by more than 80 % of their nutritional needs. However, we do not have a good understanding of yield estimates at the field and household level (with a mean field size of < 2 ha) to understand nutritional priorities in vulnerable communities due to their scarcity in the literature, particularly yield estimates that do not require re-collection of in-situ data. Statistical models for estimating regional food crop yields based on high-resolution satellite data at the field level may provide better insights into how to address health risks such as child malnutrition. Especially in low-resource contexts, where the burden is greatest and expected to worsen in future climate projections. Our study developed crop-specific, satellite-based yield models using a novel three-year data set of in-situ yield measurements as exemplified for a rural region in Burkina Faso. The aim of the model is to reduce the need for in -situ field data collection while still assuring accurate yield estimates at the field level. The model employed LASSO regression and was based on monthly vegetation index composites from Sentinel-2 and weekly accu-mulated Climate Hazards Group InfraRed Precipitation with Station (CHIRPS) rainfall data. Our yield modeling results showed that there was less overfitting when there was more training data over three years that demonstrated a wider range of yields, which also led to better model fits. R2 values ranged from 0.62 (Maize) to 0.3 (Sorghum) for the three-year yield models, with normalized root mean square error (nRMSE) values ranging from 12 % -16 %. An additional plausibility check confirmed the validity of our models, as we compared the magnitude of our yield estimation with national yield statistics for Burkina Faso. We demonstrated that our models based on three years of in-situ data may capture some of the inter-annual variability in yields, which could be a step toward minimizing the necessity for in-situ measurements in the future. Our advances in pre-dicting yield estimates at the field level enable a linkage between household-level yields, socioeconomic in-dicators, nutritional status of children, and the health status of the household members. A further application is linking high-resolution yield data to farmers' productivity losses from increasing heat under climate change.
Compound hazards are derived from independent disasters that occur simultaneously. Since the outbreak of COVID-19, the coupling of low-probability high-impact climate events has introduced a novel form of conflicting stressors that inhibits the operation of traditional logistics developed for single-hazard emergencies. The competing goals of hindering virus contagion and expediting massive evacuation have posed unique challenges for community safety. Yet, how a community perceives associated risks has been debated. This research utilized a web-based survey to explore the relationship between residents’ perceptions of conflicting risks and emergency choices made during a historic compound event, the flooding in 2020 in Michigan, US that coincided with the pandemic. After the event, postal mail was randomly sent to 5,000 households living in the flooded area, collecting 556 responses. We developed two choice models for predicting survivors’ evacuation options and sheltering length. The impact of sociodemographic factors on perceptions of COVID-19 risks was also examined. The results revealed greater levels of concern among females, democrats, and the economically inactive population. The relationship between evacuation choice and concern about virus exposure was dependent upon the number of seniors in the household. Concern about a lack of mask enforcement particularly discouraged evacuees from extended sheltering.
Many susceptible regions face significant climatic threats. This study proposes an extended framework by linking the Intergovernmental Panel on Climate Change Vulnerability Framework and Sustainable Livelihood Framework to assess the impacts of ecological indicators, household vulnerability, and climate change mitigation. A major ecological region of northwestern Pakistan with diverse geographical and climatic conditions was selected. In total, 24 adjacent rural communes were randomly selected, and 300 farm households were face-to-face interviewed based on a pretested questionnaire. The study findings reveal that the Charsadda District is more vulnerable to climate change, having the highest exposure level compared to the Mardan District and the district of Nowshera. Our findings also show that there are small differences in adaptive capacity, sensitivity, and adaptation measures, and sensitivity sources are relatively distinctive among these three districts, which directly and indirectly influence the perception of farmers. Based on the sensitivity analysis, the sensitivity of the Mardan District is the highest in terms of crop and livestock diseases, while the highest sensitivity in terms of water is assumed in the Charsadda District. In terms of adaptive capacity, the advantages and disadvantages varied greatly between the three targeted study districts; specifically, Nowshera had equitable adaptive capacity, Mardan leaned entirely on capital sources, and Charsadda depended solely on advantages in education level. Diverse efforts to address the risks of climate change should be proposed aptly by considering the climatic, socioeconomic, and geographical characteristics of each district.
Ongoing climate changes are likely to impact household food security in rural households that depend on rainfed subsistence agriculture. This paper investigates the relationship between summer climate variability and household food security in rural Mpumalanga, South Africa. We used a household panel data set nested in the Agincourt Health and Socio-Demographic Surveillance System, together with rainfall and temperature data for the summer periods 2006-07 to 2018-19 from three weather stations that surround the study area. We quantified the variability of rainfall using coefficient of variation and the standardised rainfall anomaly index, while temperature variability was reflected by the standardised temperature anomaly. In addition, the Mann-Kendall analysis was applied to detect temporal trends in rainfall and temperature. Longitudinal models accounting for socioeconomic and climate factors were used to estimate the relationship between weather and climate. The results reveal significant impact on food security from high inter-annual rainfall variability through fluctuations in food consumption, dietary diversity, and the experience of hunger. This study offers significant insights on how dietary diversity, food availability and overall food security are positively associated with greater average rainfall through subsistence agriculture as a livelihood strategy. These insights have important implications by suggesting seasonal forecasts to predict periods of potential food insecurity in local communities and can guide government policy and interventions to lessen food insecurity in rural areas.
As a result of climatically regulated water sources, smallholder farming households in South Africa are severely impacted by climate change. Using the Livelihood Vulnerability Index, we assessed the vulnerability of smallholder farming households to climate change in Thaba Nchu, Mangaung District of the Free State Province of South Africa. Primary data from 301 smallholder farming households were collected and augmented with secondary data on temperature and rainfall from 2010 to 2020. The study found that farming households in Central Thaba Nchu are more vulnerable than those in North and South Thaba Nchu in terms of adaptive capacity: social network, livelihoods strategies, and socio-demographic structure. The Central Thaba Nchu were likewise more vulnerable to water resources than the Northern and Southern Thaba Nchu. However, Northern Thaba Nchu is more exposed and sensitive to health-related difficulties than Central and Southern Thaba Nchu. The study recommends that non-government and government institutions in the province should employ a pragmatic method to evaluate vulnerability using climate service information while prioritizing vulnerable households for adaptation support to improve adaptive capacity and resilience. The findings also imply that weather forecasters, in partnership with agricultural extension agents, must provide farmers with timely and adequate climate information reports to prepare them for climatic shocks. Moreover, it is important to deliver climate service information that is genuine, significant, and reliable.
Cyclone Idai in 2019 was one of the worst tropical cyclones recorded in the Southern Hemisphere. The storm caused catastrophic damage and led to a humanitarian crisis in Mozambique. The affected population suffered a cholera epidemic on top of housing and infrastructure damage and loss of life. The housing and infrastructure damage sustained during Cyclone Idai still has not been addressed in all affected communities. This is of grave concern because storm damage results in poor housing conditions which are known to increase the risk of malaria. Mozambique has the 4th highest malaria prevalence in sub-Saharan Africa and is struggling to control malaria in most of the country. We conducted a community-based cross-sectional survey in Sussundenga Village, Manica Province, Mozambique in December 2019-February 2020. We found that most participants (64%) lived in households that sustained damage during Cyclone Idai. The overall malaria prevalence was 31% measured by rapid diagnostic test (RDT). When controlling for confounding variables, the odds of malaria infection was nearly threefold higher in participants who lived in households damaged by Cyclone Idai nearly a year after the storm. This highlights the need for long-term disaster response to improve the efficiency and success of malaria control efforts.
Exposure to singular or overlapping external shocks, such as rainfall extremes, armed conflict, and COVID-19, may catalyze a shift in gendered power dynamics within affected households as they cope with associated threats to their safety and livelihoods. Despite evidence that women are disproportionately affected by such shocks, little scientific work has assessed the separate and combined impacts of these three external shocks on women’s lives. In this study, we examined the distinct and overlapping associations between extreme events-growing season rainfall anomalies, armed conflict during the growing season, and COVID-19-and women’s daily decision-making power in Burkina Faso. We employed longitudinal survey data from IPUMS Performance Monitoring for Action (PMA), a complex and spatially referenced dataset. These data were collected from a population-representative sample of women of reproductive age (15-49 years) in Burkina Faso across two timepoints: 2019/2020 (December 2019-February 2020) and 2020/2021 (December 2020-March 2021). PMA data from Burkina Faso contain detailed questions on women’s sociodemographic characteristics, health, and household dynamics. We spatially linked these data with (1) external rainfall data, (2) armed conflict event data, and (3) PMA coronavirus-specific follow-up survey data (containing COVID-19 knowledge and prevention behaviors) collected in June and July of 2020. Using log-binomial general estimating equation (GEE) models, we examined the relationship between extreme events-wetter-than-usual growing season, armed conflict (that resulted in at least one death), and COVID-19-and increased daily decision-making power among women. We found strong and significant associations between experiencing a wetter-than-usual growing season (i.e., greater than 1 standard deviation above 10-year mean) and women being less likely to have increased daily decision-making power in the household compared those experiencing usual rainfall during the growing season [prevalence ratio (PR): 0.70, 95% confidence interval (CI): 0.56, 0.87]. Similarly, residing in an area that was more affected by the COVID-19 pandemic (i.e., where 80% or more of respondents in the community reported staying home to avoid COVID-19) was also associated with women being less likely to have increased daily decision-making power in the household [PR: 0.75, 95% CI: 0.61, 0.91]. We did not observe any significant association between armed conflict and increased daily decision-making among women [PR: 1.15, 95% CI: 0.84, 1.57]. These trends indicate that women’s decision-making power within partnerships may be negatively impacted by certain household shocks. Centering women (and other marginalized and vulnerable communities) in the leadership, implementation, and as key beneficiaries of crisis response efforts may be an effective strategy to combat some of these constraints on women’s decision-making and even empower them within their households and communities.
Mwenezi district is a drought prone area characterised by high temperatures, droughts, rainfall deficit, crop failures and chronic food deficiencies. Rainfed agriculture can no longer be sustained without any innovations. The study explored the impacts of climate change on household food security among the vulnerable populations of Matande communal lands, Mwenezi district in Zimbabwe. The study is guided by the Sustainable Livelihoods Framework (SLF). An exploratory sequential research design was adopted, and a total of 78 respondents were selected from the population of 371 households using purposive and cluster sampling techniques. Data collection was triangulated through the use of household survey, focus group discussions, key informant interviews and observations. The thematic approach and SPSS software were used to analyse qualitative and quantitative data, respectively. Results demonstrated that climate change propelled increases of pests and diseases for both livestock and crops, reduction of meals uptake per day, biodiversity loss and dwindled crop production. Livestock increases were recorded despite the changing climate shows a nexus with food insecurity. The research called for the adoption of drought-tolerant crops, capacity building through climate change resilience programmes, livestock centric in diversification, improved formal markets for livestock and tapping of underground water for irrigation and other purposes to complement existing water bodies to prevent them drying up early. CONTRIBUTION: There is deepening aridification in Mwenezi district because of climate change resulting in the continuous obliteration for the worst of agro-ecological regions iv and v reclassified into a and b. This confirmed the heterogeneity of various climatic conditions and variability within the same geographical context. However, vulnerability continues to be generalised into regions. The study investigates the impacts of climate change typical to Matande communal lands with the view to generate knowledge relevant to review adaptation practices specific to the researched area in order to escalate community resilience.
This paper explores the linkages between exposure to household shocks across early life and children’s educational and well-being outcomes in Peru. We use longitudinal survey data for a sample of 1713 children from five rounds of the Young Lives Survey to investigate how exposure to shocks across early life is linked to test scores and well-being in adolescence and to determine the extent to which critical periods of shock exposure exist. We expand on prior work by assessing the relationship between early childhood shocks and broader metrics of adolescent well-being beyond cognitive outcomes and by evaluating the cumulative impact of shocks over the course of a child’s early life. We find that exposure to a greater number of shocks across early life is negatively associated with reading and vocabulary test scores. In addition, shock exposure in adolescence-versus earlier in childhood-has the strongest negative association with testing and well-being outcomes, suggesting that older children’s time and household resources may be diverted away from learning and well-being in response to shocks. In light of increasingly frequent and severe weather events associated with climate change, as well as recent large-scale economic and health crises, policies aimed at supporting the most vulnerable children should be considered to alleviate the negative consequences of shocks on children’s educational outcomes and well-being. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11113-023-09787-x.
This paper provides an assessment of residential satisfaction of post-disaster resettlement areas that were built in Tacloban City, Leyte, Philippines after Typhoon Haiyan. We analyze four com-ponents of residential satisfaction: environmental, infrastructure and management, social and neighborhood and economic-livelihood services. Results from the study indicate that the resi-dents are moderately satisfied with the post-disaster housing provided after typhoon Yolanda. A multiple linear regression was employed in the study to determine the factors that are correlated with housing satisfaction. Results from the regression show that use of houses for cultural activi-ties, presence of health infrastructure and membership in associations were the common predic-tor variables to determine residential satisfaction. Meanwhile, the presence of infrastructural de-fects such as wall cracks and distance from the city center are negatively associated with housing satisfaction. The data from this study provides specific factors that can influence residential satis-faction which can provide targeted interventions for future resettlement projects.
The frequency and severity of flooding events are expected to increase with climate change in Canada’s province of Quebec. Highly publicized flooding events ravaged the province’s water-front communities in 2017 and 2019, with dire health and economic impacts. A recognized com-ponent of integrated flood risk management is the adoption of adaptive behaviors that reduce the vulnerability of exposed households to flooding. A previous study established an index of pre-flood adaptation based on 15 behaviors, using responses of 1951 participants residing within or less than 150 m from officially designated high flood risk zones. 325 of these respondents were successfully recontacted in 2019 for a follow-up survey on their adaptive behaviors, constituting the longitudinal sample used in this study. The new database tracks changes in pre-flood adapta-tion of Quebecers over a span of 4 years and seeks to establish experiential, socio-demographic, and psychosocial variables that predict the preventive behavior adoption rates four years on. Re-sults suggest that there has been no significant increase in the level of adaptive behavior between 2015 and 2019, though households that have experienced a flood or a flood alert in the past are more likely to adapt than those who have not. Furthermore, the most important measures re-ported in 2015 for predicting adoption of behaviors four years on are income, the experience of a flood, and the belief that one lives in a flood-prone zone. Finally, a second stepwise regression in-dicates that a change in flood experience, an increase in perception of the severity of flood im-pacts on one’s residence, and adaptation in 2015 are the strongest predictors of adaptation in 2019. Results from this exploratory longitudinal study provide critical information regarding flood adaptive behavior over a long period of time, and its predictors.
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.
Climate variability and extremes adversely affect the livestock sector by reducing pasture availability, polluting and depleting water resources, aggravating livestock diseases, and distorting the production systems. The cu-mulative effect of climate variability undermines the adaptive capacity of pastoralists and worsens food inse-curity. This study assesses the impact of climate variability and the determinants of pastoralists and agro-pastoralists adaptation strategies in Yabello and Arero Districts, southern Ethiopia. Accordingly, data were collected from randomly selected 296 sample households using a questionnaire survey. Data were also gathered from a purposively selected key informants and focus group discussion participants. Areal gridded dikadal rainfall and temperature data were collected from the National Meteorological Institute. Descriptive statistics and multinomial logistic regression data analysis methods were used. The results show that all seasons were significantly warming, while rainfall declined at various degrees and the distribution was highly variable across the study period. The ever rising minimum and maximum temperature and the erratic nature of rainfall has undermined the availability of pasture and water resources, especially during drought years resulting in the prevalence of livestock diseases. The age of the household head, poor access to information, lack of credit and saving services, limited knowledge, and erratic rainfall were found to be the determinant factors in the choice of adaptation options to climate variability and extremes. The study also found that lack of appropriate intervention and support mechanisms by government and non-government actors as well as the reluctance of pastoralists and agro-pastoralists to accept the stakeholders’ advice were the barriers to climate variability adaptation. Thus, it is clear that pastoralists’ and agro-pastoralists’ livelihood is at risk for climate variability and extremes and hence, requires context specific adaptive capacity building intervention that ranges from awareness creation to strengthening basic infrastructures and rangeland management.
Climate change is a mounting pressure on private health financing in Africa – directly because of increased disease prevalence and indirectly because of its negative impact on household income. The sources and consequences of the pressure constitute an important area of policy discourse, especially as it relates to issues of poverty and inequality. Relying on a panel dataset involving 49 African countries and the period 2000-2019, as well as a random effect regression analysis, this report shows that climate change has a positive and significant impact on the level of out-of-pocket health expenditure (OPHE) in Africa, and an increase in the level of greenhouse (CO2) emissions by 1% could bring about a 0.423% increase in the level of OPHE. Indirectly, the results show that, compared with the regional average, countries that have higher government health expenditure levels, above 1.7% regional average, and face higher climate change risk may likely record an increase in OPHE. Alternatively, countries with higher per capita income (above the regional annual average of $2300.00) are likely to record a drop in OPHE. Countries with lower climate change risk and a lower than the regional average age dependency (above the regional average of 80.4%) are also likely to record a drop in OPHE. It follows that there is a need for policy alignment, especially with regard to how climate change influences primary health care funding models in Africa.Contribution: The results of this research offer policymakers in-depth knowledge of how climate change erodes healthcare financing capacity of government and shifts the burden to households. This raises concerns on the quality of accessible healthcare and the link with poverty and inequality.
Communities around the world living in either urban or rural areas continue to experience serious WASH problems during flood episodes. Communities and individual households are affected differently depending on their coping capacities and their resource base. Flooding causes extensive damage to water and sanitation infrastructure, leaving communities vulnerable to WASH-related illnesses. This paper aimed to analyze factors influencing the community WASH experiences during flood incidences in Tsholotsho District using a Seemingly Unrelated Regression (SUR) model. The quantitative approach was used in this study. A questionnaire was used to collect data from household heads in Tsholotsho District. A total of 218 Questionnaires were administered in four wards that were purposively selected for this study. Gathered data were analyzed using the Statistical Package for Social Sciences (SPSS Version 22) and principal component analysis was done, which culminated in a SUR model. The key findings of the study were that outbreaks of water and hygiene-related diseases, ponding of water which provides a breeding ground for mosquitoes, and contamination of surface water were the major WASH problems experienced in Tsholotsho District among other problems. The study also found that access to Non-Governmental Organisations (NGOs) programs, access to treated water, and level of education were positive and statistically significant in influencing some of the problems experienced during flooding. To increase the coping capacities of Tsholotsho communities, it is pertinent for governments and NGOs to consider implementing more WASH programs, increasing access to safe and clean drinking water, and increasing the level of education of communities.
This paper investigates the impact of timeline-bound fetal exposure to drought shocks on birth outcomes in rural Sierra Leone. We link repeated cross-section birth record data across 11 years from the Sierra Leone Demographic and Health Surveys to district-level geolocation precipitation data from the University of Delaware weather repository. The methodology uses spatial distribution of precipitation across districts to identify the impacts of extreme droughts on birth outcomes. This study reinforces both harvest and direct gestation as maternal nutrition pathways for the impact of drought shocks on birth outcomes. Results also show that adverse in utero shock impacts are concentrated among poorer households and may be mitigated by antenatal care services.
Background Household water security encompasses water-related factors that pose threats to public health at the household level. It presents a reliable access to water in sufficient quantity and quality towards meeting basic human needs. This study assessed the dynamics of seasonal variations in household water security and the association between household water security and diarrheal disease across dry and wet seasons in an urban settlement in Southwest Nigeria. Methods A panel study design was employed to study 180 households selected using a multistage sampling technique. The selected households were studied during dry and rainy seasons. Household water security was assessed through the application of the all or none principle to 9 indicators associated with household water security. The intensity of water insecurity was also assessed using the nine indicators. The higher the number of indicators a household failed, the higher the intensity of household water insecurity. The association between the intensity of household water insecurity and the burden of diarrheal disease across the seasons was assessed using the Mantel-Haenszel test. Results No household was water-secure in both dry and rainy seasons; however, the intensity of insecurity was more pronounced during the dry season compared with the rainy season. Ninety households (52.0%), had water insecurity intensity scores above fifty percentiles during the dry season while 21 (12.1%) households had a water insecurity score above the 50th percentile during raining season, p < 0.001. The burden of diarrheal disease was significantly higher among households with a water insecurity intensity score above the 50th percentile, 9 (8.1%) compared to households with a water insecurity intensity score below the 50th percentile 7 (3.0%), p = 0.034. There was no statistically significant association between the intensity of water insecurity and diarrheal disease burden across the dry and rainy seasons, p = 0.218. Conclusion The high burden of household water insecurity deserves concerted efforts from all concerned stakeholders, a panacea to an important health threat in the developing world.
Feco-orally transmitted infectious diseases are common in Nigeria where the potable water access is poor. In the south-western Nigerian Ibadan metropolis, supply of municipal water is meagre as residents depend on household wells and boreholes. The likelihood of fecal contamination of household water sources in Ibadan was examined longitudinally to quantify and understand its impact. Well and borehole water samples aseptically collected from 96 households in Ibadan were assessed for total heterotrophic counts (THCs), total coliform counts (TCCs) and total Escherichia coli counts (TECs) using a pour plate technique. E. coli were identified by uidA and whole-genome sequencing using Illumina technology, whereas virulence factors were predicted using VirulenceFinder. There was season-independent abundance of THC and TCC in the well and borehole with a significant recovery of E. coli in the wells during the wet season compared to the dry season (P = 0.0001). Virulence genes associated with pathogenic E. coli were identified in 13 (52%) strains with one E. coli each classified as extra-intestinal E. coli, avian pathogenic E. coli and enteroaggregative E. coli. High heterotrophic and coliform counts, with rainfall-driven E. coli contamination revealed that the water sources evaluated in this study are unfit for consumption.
The prevalence of food insecurity is much higher in East Africa than in other parts of the world. Climate change and associated variability are important contributors to food insecurity in the region. Using primary data collected in 2018/19 from Ethiopia, Kenya and Tanzania, this study examines the links between the prevalence of household food insecurity (the access to food dimension) and vulnerability to climate change in East Africa. The Household Food Insecurity Access Scale (HFIAS) was constructed to measure the prevalence of household food insecurity, and an ordered probit econometrics model was used to investigate the factors affecting the prevalence rates. The aggregate results show that 52% of the total sampled households in the region were food-secure; 15% and 26% were mildly food-secure and moderately food-insecure, respectively; and the remaining 7% were severely food-insecure. The ordered probit results suggest that exposure to climate change extremes and crop losses caused by these extremes significantly contribute to the prevalence of food insecurity across countries in East Africa. The results also indicate that households’ adaptive capacity plays a significant role in reducing the prevalence of food insecurity. The demographic/human, social, financial, physical, and natural assets/capital of the household also play a significant role in reducing household-level food insecurity in Ethiopia, Kenya, and Tanzania.
In low- and middle-income countries, food insecurity (FI) is a living reality for many households, particularly among the most vulnerable groups. The burden of household FI in Mozambique and how FI and coping strategies relate to perceived health are unknown. This study investigated the lived experiences and coping strategies of food-insecure households, along with their perceived health. Altogether, 16 in-depth interviews were performed, audio-recorded, and transcribed verbatim. A qualitative content analysis was carried out and five themes emerged: lived experiences of FI, coping strategies used in situations of FI, food choices, climate change and food security, and FI and perceived health. A wide range of lived experiences and coping strategies were reported, including cooking whatever is available, skipping meals, receiving money or food from friends and relatives, eating unsafe and low-quality foods, taking on additional work, cooking least-preferred foods, and having a monotonous and less-nutritious diet. Furthermore, the participants reported emotional distress, anxiety and depression, substance use, and other negative health outcomes. Some had diagnoses of hypertension, diabetes or HIV/AIDS. The findings suggest the need for employment creation and women’s empowerment, as well as the implementation of appropriate policies and programmes to alleviate household FI.
In 2015 and 2016, South Africa experienced a severe drought resulting in water restrictions and food price inflation. A year later, while the proportion of food secure households remained constant, the proportion of those experiencing severe food insecurity increased. This paper investigates the socio-economic determinants of increasing food insecurity during and after the drought. Two cross-sectional household surveys were carried out in the district of iLembe in November 2016 and 2017. Household food insecurity was measured using the Coping Strategies Index. The results indicated changes in socio-economic determinants of food insecurity over time, with the poorest households experiencing the worst levels of food insecurity. After the drought, having a child under-five years was positively associated with food insecurity, while being located in a rural area was negatively associated. Policies that limit household vulnerability to price inflation, and interventions that protect poorer households from the effects of drought should be considered.
This paper evaluates the short-term health effects of in utero drought shock using repeated cross-section household data on Malawi. The main finding reveals that the effects of in utero harvest variability caused by rainfall shocks on child growth indices are driven by the deleterious effects of negative rainfall deviations, namely droughts. Negative rainfall deviation during the agricultural season prior to the gestational period of a child leads to a 21.8 per cent average local level reduction in age-standardized height scores, with the counterpart positive rainfall deviation having no apparent effect. The paper also uses harvest and consumption patterns to establish an important link between early-life malnutrition and growth serving as a precursor for the fetal period programming hypothesis in the literature. The direct impact of embryonic period shocks on growth provides supportive evidence on potential interaction between nutritional and environmental pathways.
Protracted and prolonged droughts lead to famine and substantial decline in agricultural productivity that contribute to food insecurity and hunger in sub-Saharan Africa which needs to explore the risk coping strategies to better target risk mitigation. The main research question of this paper was to analyze ex-post coping strategies and their determinants in rural Ethiopia. We use a cross-section data collected in 2013 from vulnerable rural households in Rayitu district, Bale Zone of Oromia Regional State. Using population-proportionate to size (PPS) sampling technique, a total number of 1,402 households in the district participated in this study. The data were analyzed using a three-stage least squares (3SLS) method. Our analysis confirms that rural households in Rayitu district experience drought and are vulnerable to the consequences of shocks. As a response, rural households adopt interdependent risk coping strategies. This supports the notion of addressing the problem of risk through integrated rural development strategies (and policies) to help the poor to improve the vulnerability to shock and help to escape out of poverty. In addition, we found that the risk coping strategies that households adopt are influenced by the resource holdings and income levels of the rural households, their access to product and financial market, and their socio-demographic characteristics. Hence, we argue that strategies and interventions to improve the livelihood of the poor and to support the vulnerable ones should be targeted to fit to the needs and priorities of households.
Evidence on the potential for agricultural intensification to improve nutrition has grown considerably. While small-scale irrigation is a key factor driving agricultural intensification in sub-Saharan Africa, its impact on nutrition has not yet been thoroughly explored. In this study, we assess the impact of adoption of small-scale irrigation in Ethiopia and Tanzania on household and women’s dietary diversity, as well as children’s nutrition. We use two rounds of primary data collected from irrigators and nonirrigators in Ethiopia and Tanzania. We used a panel fixed effects econometric approach to control for observed household, women and children specific characteristics as well as observed and unobserved time-invariant confounding factors. The results show that among Ethiopian households who reported having faced drought, women in irrigating households have higher Women’s Dietary Diversity Score (WDDS) compared to women in nonirrigating households. In Tanzania, women in irrigating households have higher WDDS compared to nonirrigators and the impact of irrigation on WDDS more than doubles among households facing drought. In addition, among Tanzanian households who reported having faced a drought shock, irrigating households have higher Household Dietary Diversity Score compared to nonirrigators. Children in irrigating households in Ethiopia have weight-for-height z-scores (WHZ) that are 0.87 SDs higher, on average, than WHZ of children in nonirrigating households. In Tanzania, irrigation leads to higher WHZ-scores in children under-five among households who reported having experienced a drought in the 5 years preceding the survey. The study shows small-scale irrigation has a strong effect on households’ economic access to food and on nutritional outcomes of women and children.
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.
A large concern with estimates of climate and health co-benefits of “clean” cookstoves from controlled emissions testing is whether results represent what actually happens in real homes during normal use. A growing body of evidence indicates that in-field emissions during daily cooking activities differ substantially from values obtained in laboratories, with correspondingly different estimates of co-benefits. We report PM(2.5) emission factors from uncontrolled cooking (n = 7) and minimally controlled cooking tests (n = 51) using traditional chulha and angithi stoves in village kitchens in Haryana, India. Minimally controlled cooking tests (n = 13) in a village kitchen with mixed dung and brushwood fuels were representative of uncontrolled field tests for fine particulate matter (PM(2.5)), organic and elemental carbon (p > 0.5), but were substantially higher than previously published water boiling tests using dung or wood. When the fraction of nonrenewable biomass harvesting, elemental, and organic particulate emissions and modeled estimates of secondary organic aerosol (SOA) are included in 100 year global warming commitments (GWC(100)), the chulha had a net cooling impact using mixed fuels typical of the region. Correlation between PM(2.5) emission factors and GWC (R(2) = 0.99) implies these stoves are climate neutral for primary PM(2.5) emissions of 8.8 ± 0.7 and 9.8 ± 0.9 g PM(2.5)/kg dry fuel for GWC(20) and GWC(100), respectively, which is close to the mean for biomass stoves in global emission inventories.
The objective of this study is to empirically and systematically assess the combination of inherent susceptibility factors, protective actions, and factors of hazard exposure that influence a house-hold’s level of hardship experienced due to disruptions in critical infrastructure services during disasters. Classification and regression tree (CART) decision tree models and survey data from three major hurricane events were used to: (1) identify the pathways leading to impact(s) due to service disruptions and explore the differences in pathways across vulnerable population groups; and (2) identify the points of intervention to mitigate well-being impacts in households due to disruptions in water, energy, food, and road transportation services. The results reveal how the associative pathways between these factors change between socioeconomic and demographic groups in the impacted community and for different infrastructure service system types. The findings suggest that not all vulnerable households experienced high hardship outcomes despite prolonged outages. Finally, the hardship pathways suggest recommendations for improving resilience in infrastructure systems in a more equitable manner. The findings can be used by emergency and infrastructure managers and operators to better prioritize resource allocation for hazard mitigation investments and restorations. Accordingly, this study contributes to the theory of human-centric infrastructure resilience.
Practitioners and researchers use vulnerability indices to understand the conditions that influence hazard risk. However, there has been little research on how well such indices depict household-scale vulnerability to specific hazards. We examined relationships between an all-hazard index and a hazard-specific index with householdlevel adaptive resources, adaptive behaviors, proximate sensitivities, and self-reported health outcomes related to extreme heat. Household measures were drawn from a stratified random sample survey conducted in Phoenix, Arizona, USA (n = 163). The results point to different experiences between households in more and less heat vulnerable areas. The largest differences between households stratified by the hazard-specific index (Heat Vulnerability Index) primarily involved adaptive resources and behaviors, whereas indicators of proximate sensitivity were more strongly differentiated by the all-hazard index (Social Vulnerability Index). Differences in health outcomes between more and less vulnerable neighborhoods were more evident using HVI than SoVI, although effect sizes using either index were small and confidence intervals were wide. The relationship between vulnerability indices and several survey measures varied across four study sites. The specific ways in which more and less vulnerable communities differ from one another varies based on the adaptation, sensitivity, or outcome measure of interest, location within the city, and choice of vulnerability index.
This article compares urban and rural household water insecurity experiences during the last major drought period (2011-17) in the semi-arid interior region of Ceara, Brazil. Using data from a household survey (N = 322), we determined that households in small urban areas are more and differently water insecure than rural counterparts. Factor analysis and an ordinal logistic regression pinpoint key dimensions, such as water distress, water-sharing and intermittency, contribute differently to water insecurity in rural and urban households. Policy recommendations are made.
Arboviruses transmitted by Aedes aegypti (e.g., dengue, chikungunya, Zika) are of major public health concern on the arid coastal border of Ecuador and Peru. This high transit border is a critical disease surveillance site due to human movement-associated risk of transmission. Local level studies are thus integral to capturing the dynamics and distribution of vector populations and social-ecological drivers of risk, to inform targeted public health interventions. Our study examines factors associated with household-level Ae. aegypti presence in Huaquillas, Ecuador, while accounting for spatial and temporal effects. From January to May of 2017, adult mosquitoes were collected from a cohort of households (n = 63) in clusters (n = 10), across the city of Huaquillas, using aspirator backpacks. Household surveys describing housing conditions, demographics, economics, travel, disease prevention, and city services were conducted by local enumerators. This study was conducted during the normal arbovirus transmission season (January-May), but during an exceptionally dry year. Household level Ae. aegypti presence peaked in February, and counts were highest in weeks with high temperatures and a week after increased rainfall. Univariate analyses with proportional odds logistic regression were used to explore household social-ecological variables and female Ae. aegypti presence. We found that homes were more likely to have Ae. aegypti when households had interruptions in piped water service. Ae. aegypti presence was less likely in households with septic systems. Based on our findings, infrastructure access and seasonal climate are important considerations for vector control in this city, and even in dry years, the arid environment of Huaquillas supports Ae. aegypti breeding habitat.
Heat waves associated with global warming are a significant hazard to human health, and they particularly endanger low-income households. In this study, we systematically analyze how the different components of heat vulnerability are related to household income, and present empirical evidence on the determinants of heat adaptation, focusing on the role of income. We contribute the first empirical analysis of heat vulnerability using household-level data at the national level, based on a longitudinal survey, including data points for 10,226 households in Germany in the period 2012-2020. Our results indicate that low income households are significantly more heat sensitive and have lower adaptive capacity than high income households, measured inter alia by health status, household composition, and economic and psychological resources to implement adaptation measures. However, heat hazard and exposure levels are comparable between income groups, hence there is no sorting of richer households into less hazardous or exposed locations on a national scale. We also contribute robust empirical evidence on the factors influencing household decisions to implement technical adaptation measures (e.g. installation of air conditioning), ultimately showing that the adaptation behavior of the most vulnerable households (e.g. people with poor health conditions or the elderly) is not limited by financial constraints.
Extreme heatwaves will occur more frequently and with higher intensity in future. Their consequences for human health can be fatal if adaptation measures will not be taken. This study analyses factors related to heat adaptation measures in private households in Germany. During the summer months of 2019, indoor temperatures were measured in over 500 private households in the City of Augsburg, Germany, accompanied by a survey to find out about heat perception and adaptation measures. Hypotheses deducted from the Protective Action Decision Model were tested using one-way ANOVAs, regression analysis and in the end a multiple hierarchical regression model. The results of the hypotheses tested imply an influence of knowledge and heat risk perception of heat adaptation behaviour and an influence of age on heat risk perception. The results of the regression model show an influence of the efficacy-related attribute, of age, indoor temperature, subjective heat stress and health implications to heat adaptation behaviour. In the end, this study proposes adjustments to the PADM according to the results of the hierarchical regression analysis.
Adaptation to climate change is often understood as a top-down decision-making and policy-implementing process, as well as application of expert knowledge, to prevent or reduce its (locally specific) negative consequences. In high-income societies, adaptation at the household level then frequently refers to adopting technological fixes distributed through the market, sometimes at a considerable cost. Informed by a study in the context of Central Europe, this article aims to discuss different practices of households and individuals that do not require increased consumption of energy or materials, but still help adapting to climate change in some of its local expressions, such as heatwaves and drought. They were described by participants in focus groups in six cities in the Czech Republic. I argue that such ‘inconspicuous adaptations’ emerge without connection to the climate change debate, or without deeper knowledge about the issue. Yet, they should not be overlooked as unimportant and short-term ‘coping responses’ and underestimated in this debate. They are part and parcel of the ongoing process of societal adaptation to climate change.
Climate change is one of the most severe threats to human survival and a significant factor influencing financial stability. Different from previous studies, this paper investigates the economic impact of climate change at the micro level based on data from China Meteorological Administration database, and China Household Finance Survey (CHFS) 2017 released in 2019. The empirical findings indicate that climate change contributes to the financial vulnerability of farmers’ households, which is confirmed following robustness tests. The mechanism analysis reveals that climate change has effects on rural households’ financial vulnerability via farmers’ health, credit availability, and agricultural output. Furthermore, the effect of climate change on farmers’ household financial vulnerability (HFV) is more pronounced in farmers with lower education levels. The changes in temperature and precipitation show different intensity effects in different areas, but all of them provide reasonable heterogeneity mechanisms. This paper’s policy value is demonstrated by the fact that it uncovers the effects of climate change on farmers’ HFV, information that may be useful for addressing climate change and rural financial stability.
Households living in the close vicinity of shoreline are constantly threatened by various climate change impacts. Community awareness towards climate change is a subject of considerable study as adequate knowledge is a preliminary step for adaptation decision making. An important question is how coastal communities perceive climatic variation, sea level rise and coastal hazard impacts and the socio-economic factors that affect their level of awareness. Thus, this research measures the level of awareness and the factors influencing it based on a household survey (n = 1016) that was conducted 10 critically eroded coastal areas in Selangor. Descriptive statistical analysis reveals that more than half of the households have high level of awareness about climatic variation and sea level, however, there is moderate awareness about the coastal hazard impacts such as human causalities and disease transmission. Even though households are more aware of direct coastal hazard impact such as damages to properties and disruption of daily activities. An independent sample T test indicates that respondents who are male, at working age, educated, involve in natural resource dependent occupations, and had prior exposure to extreme coastal hazards have higher levels of awareness. Research indicated about 55% of all sampled households reflected awareness of climate change, 60% households were aware of sea level rise and 47% households were aware of coastal hazard impact. This study recommends that households in Selangor coast need capacity building and climate change awareness initiatives which would assist household to build adaptive capacity, increase resilience and reduce vulnerability to climate change.
This study develops and assesses the application of a livelihood vulnerability index (LVI), LVI-IPCC and livelihood effect index for the natural and agricultural resources in Northwestern Pakistan. By using structured questionnaire, primary data were collected from the targeted households in the study region. Data on socio-demographics, water security, health, social networks and climate variability were collected from the targeted respondents in this study area, and combined into indices. The IPCC framework was utilized that characterizes vulnerability into exposure, sensitivity and its adaptive capacity. Findings of our study showed that tehsil Shabqadar was more vulnerable among three studied tehsils particularly in natural disasters, health, water and land holding status. Tehsil Tangi was the second high vulnerable tehsil followed by tehsil Charsadda relative to other LVI components with the exclusion of livelihood strategies and financial constraints. Findings of this study provide a better understanding of the social and behavioral trends as well as an integrated and holistic view of the agriculture, climate change and livelihoods process in assessing the vulnerability. The findings and this pragmatic approach will be helpful in intending specific strategies and policy effectiveness to lessen susceptibility of households to climatic variations.
Rising temperatures are causing distress across the world, and for those most vulnerable, it is a silent killer. Information about indoor air temperature in residential dwellings is of interest for a range of reasons, such as health, thermal comfort and coping practices. However, there have been only few studies that measure indoor heat exposure, and contrast these to outdoor temperatures in rural-urban areas, of which none are in South Asia. We aim to close this knowledge gap with our indoor and outdoor heat measurement dataset, covering five low-income sites in South Asia. Two sites are in rural areas (Maharashtra, India), while three sites focus on urban areas (Dhaka, Delhi and Faisalabad). Data are based on 206 indoor temperature data loggers and complemented by data from five outdoor automated weather stations. The data-set can be used to examine temperature and humidity variation in low-socioeconomic status households in rural and urban areas and to better understand factors aggravating heat stress. This is important to plan and implement actions for combating heat stress.
Household flooding has wide ranging social, economic and public health impacts particularly for people in resource poor communities. The determinants and public health outcomes of recurrent home flooding in urban contexts, however, are not well understood. A household survey was used to assess neighborhood and household level determinants of recurrent home flooding in Detroit, MI. Survey activities were conducted from 2012 to 2020. Researchers collected information on past flooding, housing conditions and public health outcomes. Using the locations of homes, a “hot spot” analysis of flooding was performed to find areas of high and low risk. Survey data were linked to environmental and neighborhood data and associations were tested using regression methods. 4803 households participated in the survey. Flooding information was available for 3842 homes. Among these, 2085 (54.26%) reported experiencing pluvial flooding. Rental occupied units were more likely to report flooding than owner occupied homes (Odd ratio (OR) 1.72 [95% Confidence interval (CI) 1.49, 1.98]). Housing conditions such as poor roof quality and cracks in basement walls influenced home flooding risk. Homes located in census tracts with increased percentages of owner occupied units (vs. rentals) had a lower odds of flooding (OR 0.92 [95% (CI) 0.86, 0.98]). Household factors were found the be more predictive of flooding than neighborhood factors in both univariate and multivariate analyses. Flooding and housing conditions associated with home flooding were associated with asthma cases. Recurrent home flooding is far more prevalent than previously thought. Programs that support recovery and which focus on home improvement to prevent flooding, particularly by landlords, might benefit the public health. These results draw awareness and urgency to problems of urban flooding and public health in other areas of the country confronting the compounding challenges of aging infrastructure, disinvestment and climate change.
Despite perceptions of high water availability, adequate access to sufficient water resources remains a major challenge in Alaska. This paper uses a participatory modeling approach to investigate household water vulnerability in remote Alaska and to examine factors that affect water availability and water access. Specifically, the work asks: how do water policy stakeholders conceptualize the key processes that affect household water vulnerability in the context of rural Alaska? Fourteen water policy stakeholders participated in the modeling process, which included defining the problem of household water vulnerability and constructing individual causal loop diagrams (CLDs) that represent their conceptualization of household water vulnerability. Individual CLDs were subsequently combined and five sub-models emerged: environmental, economic, infrastructure, social, and health. The environmental and economic sub-models of the CLD are explored in depth. In the environmental sub-model, climate change and environmental barriers due to geography influence household water vulnerability. In the economic sub-model, four processes and one feedback loop affect household water vulnerability, including operations and maintenance funding, the strength of the rural Alaskan economy, and the impact of regulations. To overcome household water vulnerability and make households more resilient, stakeholders highlighted policy solutions under five themes: economics, social, regulatory, technological, and environmental.
Households’ vulnerability assessment is considered an essential step towards reducing the harmful consequences of disaster risks. Adaptation helps in reducing their future vulnerability. The aims of this study are to (1) assess the different components of vulnerability, (2) compare the individual components and the composite vulnerability between the two regions and (3)assess the households’ adaptation to floods. Data were collected from 382 households and statistical tests were applied for comparison among these households living in two regions. A total of 32 and 17 indicators were used for vulnerability and adaptation assessment respectively. Results revealed that social, economic, physical and institutional components of vulnerability were found higher in Region 1 than Region 2. Except for social and attitudinal vulnerability, all the other vulnerability components had significant differences. Similarly, the overall composite vulnerability was higher in Region 1 than Region 2 and statistically significant. Moreover, in both regions, informal adaptation was mostly practiced compared to formal adaptation. Thus, it is recommended that the government and non-governmental stakeholders provide options and facilitation for formal adaptation at the community level.
Climate change is increasing the frequency and intensity of extreme events. Adaptation strategies at societal and household level are crucial to reduce vulnerability. We assessed to what extent personal flood affectedness, in particular health impacts, influence adaptive behavior. We conducted a cross-sectional survey in northern Chile one year after a major flood event and assessed several dimensions of flood affectedness and adaptive behavior at the household level. After the event, a wide range of adaptation measures, including water storage and prepa-ration of emergency kits, had been implemented by 80% of the population.
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.
Climate change is predicted to adversely affect agricultural yields, particularly in African countries such as Ethiopia, where crop production relies heavily on environmental factors such as rainfall and temperature. However, there have only been a limited number of studies on the effects of climate change dynamics on food security in Africa, particularly at the household level. We therefore analyzed local climatic changes, the status of household food security, climate-related causes of food insecurity, food security determinants, and the adaptation strategies of local farmers. Three decades meteorological data were analyzed. A total of 185 farmers were selected using simple random sampling and interviewed, together with focus groups. Data were analyzed using the descriptive and inferential statistics were used together with the logit regression model. Climate change over the last three decades was found to have a negative impact the food security status of households. Crop production was constrained by poor rainfall, severe erosion, and increases in temperature. The unpredictability of rainfall, pests, and diseases were also contributing factors. Using the calorie intake approach, 60.5% of sampled respondents were found to be food insecure. Analysis using the logistic regression model showed that age and family size, as well as the amount of cultivated land and rainfall, were the significant (p < .05) factors influencing household food security status. A large proportion (69.8%) of farmers were incorporating adapting strategies into farm management including improved use of crop varieties and livestock production, in addition to income diversification. Taken together, these findings show that improving climate change awareness, facilitating the participation of female-led households in income generation, and strengthening existing adaptation measures have positive impacts on food security.
Variable climate conditions, resulting in periods of water scarcity and longer dry spells, or intense rainfall events, have serious implications for water and sanitation services. Climate change threatens to exacerbate these hazards, increasing risks to household water security, and associated impacts on health, wellbeing and livelihoods. These risks are not evenly distributed across individuals and communities, and there is a particular need to understand women’s vulnerabilities and responses to these risks due to disproportionate impacts of poor water and sanitation conditions. This study used mixed-methods data collection to assess how vulnerabilities to climate-related risks to household water security are produced and vary among women in the Centre-East region, Burkina Faso, as well as capacities to respond. Gendered water-related roles and norms were found to drive vulnerabilities for women in the case study site particularly related to increasingly inadequate water availability during the dry season. Other social differences such as Mossi and Peul ethnicity which influence ways of using water, also contributed to women’s differential vulnerability and capacities to respond. These findings show there is a need to consider how the development of ‘climate resilient’ water and sanitation services take social drivers of vulnerability into account.
Based on spatial variation and time, climate change has various levels of impacts on different communities and sometime with the state of development as well. The rural mountainous households that depend on natural resources for subsistence livelihoods and agriculture are particularly vulnerable with changing climate. Livelihood vulnerability assessment at local level is imperative to formulate appropriate adaptation policy and programs to address their livelihood challenges. This paper explored two vulnerability assessment indices, livelihood vulnerability index and IPCC vulnerability index by surveying 150 households from three village development committees (VDCs) in Lamjung district, Nepal. Data related to climate variables, natural disasters, water and food security, health, socio-demographics, livelihood strategies, and social network were collected and combined into indices. Both indices differed based on well-being status, gender of the household head and location across the households of three VDCs. The analysis was based on indices constructed from selected indicators measuring exposure, sensitivity, and adaptive capacity. Results indicated that very poor and poor households, and female-headed households were more vulnerable than medium, well-off and male-headed households. The availability of livelihood diversified strategies, education, establishment of early warning system to climate extreme will help to reduce vulnerability to climate change in the study areas. The findings help in designing priority areas of intervention for adaptation plan to reduce vulnerability and enhance the resilience of the mountainous households to climate change.
This study set out to empirically determine the current state of individual and household adaptation to climate change in the United Kingdom and how policy makers can improve on it. The study utilized both qualitative and quantitative approaches (mixed method). For the quantitative aspect of the study, a quota-sampling technique was employed in the selection of 650 respondents for the study using a well-structured questionnaire. The quota representation was based on age and gender. Data were analyzed using descriptive statistics and binary logit regression. In addition, qualitative content/topic analysis of an in-depth interview of the respondents was employed in further analyzing why and how policy makers can improve climate change adaptation. Findings from the study indicate the dire need for continued government support in household and individual adaptation in Leeds, and this support should also be encouraged in other cities where government intervention is low. Interventions in the form of subsidies, direct regulations, and public awareness are needed. The implementation of these measures is expected to generate a wide range of additional benefits to most vulnerable groups who should be central to the rapidly expanding climate change research and policy agenda in the United Kingdom. SIGNIFICANCE STATEMENT Evidence shows that periods of extremely cold winters have been perceived to have increased in frequency in the United Kingdom over the years. This points to the need to uncover what policy and behavioral adaptation measures required to improve individual and household adaptation measures to cold spells in the United Kingdom. We utilized both qualitative and quantitative approaches (mixed method) to find out the drivers and hindrances to adaptation against cold spells, using Leeds as a case study. We found out that over 70% of the respondents adopted all of the short-term coping strategies, whereas 55% did not indicate any changes in their behavior in response to cold spells. Also, government support, the prospect of relocation (people’s intention of leaving their home), and the high technicalities in installing adaptation tools significantly affect individuals’ tendency to adopt long-term coping strategies.
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.
This study was conducted to evaluate seasonal patterns of household food insecurity, dietary diversity, and household characteristics on wasting and stunting among children in households followed for 1 year in the drought-prone areas of Sidama, Ethiopia. A cohort study design was employed. Data were collected on the pre-harvest season (March and June) and post-harvest season (September and December) of 2017. We studied 935 children aged 6 to 47 months. At four seasons over a year, we had 3,449 observations from 897 households and 82% (2,816) (95% CI: 80.3-82.9) were food in-secured households. Severe food insecurity was higher in the pre-harvest (March; food scarcity season) which was 69% as compared to 50% of September (P < .001). From 3,488 observations, 44% (1,533) (95% CI: 42.3-45.6) of children were stunted. Stunting showed seasonal variations with 38% (95% CI: 34.7-41.0) in March and 49% (95% CI: 45.8-52.5) in December. Six percent (95% CI: 5.0-6.6) of children were wasted, with higher prevalence in March (8%) as compared to 3% of September (P < .001). Moreover, household characteristics such as poverty level, education, occupation and the household food insecurity and dietary diversity were associated with subsequent wasting and stunting.
Limited evidence is available concerning the household-level costs of prevailing diseases and the potential cost of climate adaptation in Nepal. This study estimates these costs and assesses the relationships between prevalent diseases and climate adaptation at the household level using survey data from 420 households. An ingredients-based approach was used to estimate the cost of health and adaptation, and a Probit regression model was used to analyze the relationship between prevalent diseases and climate adaptation costs. Household direct curative costs are the highest among health cost components. Two-thirds of total health costs are direct costs for households. On average, 15.90% of household income is used for direct cost of health care. The climate hazard cost among afflicted households is estimated to be high. In addition, diseases like malaria, typhoid and jaundice, their costs, climate awareness program, droughts, family size and loss of per capita income are more likely to raise the cost of climate adaptation. The occurrence of gastritis, prevalence of diarrhea and cold waves are less likely to affect the cost. Policymakers should implement health financing schemes and adaptation strategies to prevent the loss of human health in western Nepal.
Overheating in residential building is a challenging problem that causes thermal discomfort, productivity reduction, and health problems. This paper aims to assess the climate change impact on thermal comfort in a Belgian reference case. The case study represents a nearly zero energy building that operates without active cooling during summer. The study quantifies the impact of climate change on overheating risks using three representative concentration pathway (RCP) trajectories for greenhouse gas concentration adopted by the Intergovernmental Panel on Climate Change (IPCC). Building performance analysis is carried out using a multizone dynamic simulation program EnergyPlus. The results show that bioclimatic and thermal adaptation strategies, including adaptive thermal comfort models, cannot suppress the effect of global warming. By 2050, zero energy buildings will be vulnerable to overheating.
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.
