Child immunization in Bangladesh (funded by an EPPS Advisory Council Award 2014)

This project aims to develop a multi-level spatial model to capture variability in the potential determinants of child immunization coverage in Bangladesh by applying a Bayesian Maximum Entropy modeling framework to the DHS (Demographic and Health Surveys) data. It produces theoretically robust and practically meaningful maps of predicted immunization coverage over the entire country by integrating all types of spatial information available in the interpolation process. Furthermore, a field-based evaluation in Bangladesh during April 2014 assessed the feasibility of this mapping technique as a decision-making tool for national and local immunization strategies.

Asthma in Seoul, Korea (funded by National Research Foundation of Korea)

This project aims to assess spatial dynamics of various physical, social, and behavioral risk factors for allergic diseases, and identify critical areas with elevated risks of allergic diseases using GIS-based spatial modeling techniques. In doing so, it can deliver such information more effectively to all relevant policymakers and citizens using the IT-based technology for more effective targeted intervention.

Malaria control in Africa (funded by National Institutes of Health)

This project aims to develop an “effective” and “practical” decision support tool to improve the implementation of malaria control strategies, including both vector control and disease management in Tanzania, Kenya, and Uganda. In addition, we perform value-of-information (VOI) analyses to evaluate the tool and create an agenda for evidence-based malaria policy.

Food deserts and health disparity in East Asia (funded by Incheon National University)

This project aims to examine what factors contribute to limited access to healthy affordable foods among low-income families in East Asia. Whereas the traditional concept of food deserts in Western settings emphasizes supply-side factors, we take a look at demand-side factors that are potentially responsible for formation of areas equivalent to food deserts in East Asia by conducting factor analysis. Moreover, employment of GIS data will be able to reveal the shape of distribution of relevant health disparity among neighborhoods, which could provide useful insights to development of more specifically targeted nutrition-related public policy.

Effectiveness of mosquito nets for malaria control

Performing a comprehensive review of over 2,000 scholarly articles, this project aims to evaluate the overall effectiveness of long-lasting insecticidal nets and conventional insecticide-treated nets and to compare the effectiveness of these two types of mosquito nets to prevent malaria under diverse conditions using a meta-regression analysis. The findings would have practical implications for governments and NGOs, given the current funding gap they have been facing in order to achieve universal coverage with long-lasting insecticidal nets.