The weaknesses of this study must be acknowledged. This is a large scale, ecologic assessment of the relationship between climate and the dengue transmission at a city level. For a comprehensive and systematic risk assessment, more detailed risk assessment at a community and individual level is required. Inclusion of other factors such as mosquito density, population immunity, viral factors and human behaviors may improve the model. Due to the lack of seroprevalance and entomological data, these variables could not be included into our model. Therefore, our model prediction underestimated some of the observed number of cases and the biggest outbreak. Adaptation to climate change and changes in socio-economic trends might influence the likelihood of disease occurrence. However, we have not accounted for all possible socio-economic features and climate adaptation behavior. Underreporting bias is inevitable in the surveillance data to some extent as people infected with subclinical dengue infection did not seek for medical advice. This model is only applicable to Dhaka and areas with a similar socio-ecologic background as local data were used in the construction of this model.