analyzing standardized, pooled data from 24 INDEPTH data centers representing close to 20 million person-years of data and 207,000 deaths. As more data centers are added, the further goals will be to (1) further develop typical age patterns of mortality using longitudinal data from the INDEPTH network of demographic surveillance sites throughout Africa and South Asia; (2) build an easy-to-use system of model life tables based on the identified age patterns; and (3) use such data to support evaluations of progress towards the United Nations Millennium Development Goals.

This session also highlighted the potential for using INDEPTH data on individual and social exposures to explain differences in health outcomes. INDEPTH centers increasingly have the data to support such analyses, which will permit researchers to investigate the reasons for differences and inequalities across settings. Explanations for the observed patterns could include the effects of education, employment, and migration experience as well as the composition and economic status of households.

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