In this paper a non-linear model is proposed and analyzed to study the effect of global warming temperature on the spread of carrier dependent infectious diseases in the habitat. In the modeling process, five dependent variables are considered, namely, the density of susceptible population, the density of infective population, the density of carrier population, the concentration of CO2 emitted from both natural as well as human population related activities and the global warming temperature. The non-linear model is analyzed by using the stability theory of differential equations and numerical simulation. The analysis shows that as the global warming temperature increases, not only the carrier population density increases but also the number of infectives in the population increases, leading to fast spread of the infectious diseases. The numerical simulation confirms the analytical results.