Abstract by Jordan Spencer
Using Survey Data and Mathematical Modeling to Prioritize Water Interventions in Developing Countries
In working to prioritize water interventions in developing countries, we combined existing survey data with the World Health Organization’s methods for cost-benefit analysis. Their analysis is designed to allow charities to determine an optimal intervention in a given community, we expanded it to determine the best locations in a country for a water intervention. This is done by using the Demographic and Health Surveys Program’s data on water access and water-borne illnesses combined with a mathematical model to calculate the potential benefit for each area in a country. Our results will help charities maximize their impact in the water industry.