Summary
Project Abstract Poor environmental conditions such as air pollution, and unsafe water and sanitation have been ranked among the top risk factors for disability-adjusted years (DALYs) in children. The highest number of deaths per capita attributable to environmental exposures have been observed in Sub-Saharan Africa (SSA) with the highest disease burden noted among children. The overall goal of the proposed research is to harness data science applications to establish the spatial variability in the impact of ambient PM2.5 exposure on children’s health in SSA and further identify the explanator
