CDEHA is working to extend Stanford’s existing academic networks in India and China to enhance analytical capacity for studying the future health care needs of these two countries, which together house one third of the world’s population and have unique potential for data-informed policymaking.
- CDEHA's International Network Director, Dr. Grant Miller, is leading efforts to expand research networks in India and China by developing new collaborative teams of scholars in India, China and the US to study rapid demographic change and its implications for health policy among elderly populations in these countries. To do so, the Center is building on existing collaborations in India and China to develop large, organized networks of scholars to use newly available data (including NIA-supported datasets such as LASI and CHARLS).
- CDEHA is providing support to scholars using the Future Elderly Model (FEM) in conducting research on aging and population health in India and China. (The FEM is a demographic and population health simulation model that has been widely used in the United States to predict the future health status and costs of the elderly.)
- The Center is creating new tools for the analysis of demographic change, aging, and population health in India and China. As part of the Center's International Network development, the Future Elderly Model (FEM) is being adapted for use in studying India’s and China’s aging populations, calibrating these models using new NIA-funded data sources (including LASI and CHARLS) and other new datasets on elderly populations in these countries.
Through these efforts, CDEHA is: a) maximizing the impact of new data sets on India’s and China’s elderly; b) ensuring that findings are appropriately contextualized to the institutional environments and social norms of these countries; and c) attracting and develop new scholars studying health and aging in India and China.