Fourth Annual Workshop on Adult Mortality Determinants in LMICs
Call for Abstracts
Co-sponsored by the UC-Berkeley Center on the Economics and Demography of Aging-CEDA and the USC/UCLA Center for Biodemography and Population Health, and following workshops held on this topic at USC and Berkeley in 2016, 2017, and 2018, this upcoming workshop is designed to share leading research methods and findings on comparative patterns of adult mortality, mortality determinants, and risk factors in low and middle-income countries (LMICs).
The goal is to build a robust evidence base for understanding the drivers of cross-national mortality and health expectancy patterns, especially in populations with unusually high or low adult mortality. The newly expanded availability of longitudinal HRS-type surveys in LMICs make this an opportune time to gather a network of researchers using such data to study mortality patterns and determinants, in order to share innovative methods, new results, and ideas for the most promising research agenda going forward.
We solicit presentations of papers using longitudinal data from one or more LMICs, particularly from harmonized HRS family studies (see https://g2aging.org/) in China (CHARLS), Costa Rica (CRELES), Ghana (SAGE), Korea (KLOSA), Indonesia (IFLS), Mexico (MHAS), and South Africa (SAGE). We also encourage use of other LMIC micro-data with mortality follow-ups, e.g. from Taiwan (SEBAS), China (CLHLS), South Africa (HAALSI), and elsewhere, as well as comparisons with data from higher income countries such as the US (HRS), Japan (JSTAR or NUJLSOA), England (ELSA), and Europe (SHARE).
This will be a small meeting of about 30 people. We invite one-page abstracts, which should be submitted by October 12 to email@example.com and firstname.lastname@example.org. For inquiries about topical areas please contact Will Dow email@example.com and Eileen Crimmins Crimmin@usc.edu.
For further information, please contact Elizabeth Vasile at firstname.lastname@example.org
There are no events scheduled for the next 90 days.
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