Abstract:  Most empirical research in global health implicitly or explicitly defines the target population of interest as a country or countries. While there is a great interest in disaggregated data on population health and well-being at subnational levels, such efforts are largely confined to macro geographies. In this talk, I will present evidence from empirical analyses illustrating substantial small area variation across the different health and development outcomes in India and their implications for micro-level geo-targeting for more precise, efficient, and equitable allocation of global health resources.

Speaker Profile:  Rockli Kim is an Assistant Professor at the Division of Health Policy and Management at Korea University College of Health Sciences. She's a global social epidemiologist with research interests in assessing social determinants of maternal and child health outcomes in LMICs, and investigating variations in individual and population health and well-being using multilevel statistical modeling. Dr Kim received her ScD in Social and Behavioral Sciences and SM in Global Health and Population from the Harvard T.H. Chan School of Public Health. She's also the Co-PI of Geographic Insights Lab together with Professor S.V. Subramanian at Harvard working on the project "Burden of Disease and Deprivation in India across Micro and Macro Public Policy Units" funded by the Bill and Melinda Gates Foundation. She has published over 100 peer-reviewed articles in high-impact journals, including The Lancet Global Health, Proceedings of the National Academy of Sciences, JAMA Network Open, and Social Science and Medicine. 

Attendee link: https://flameuniversity.zoom.us/j/95367384308