New Project led by Michel Guillot (PSC/PARC Research Associate), the Global Age Patterns of Under-Five Mortality (GAPU5M) and funded by the Eunice Kennedy Shriver National Institute of Child Health (NICHD) aims to improve our understanding of age patterns of under-5 mortality by sharing data they've collected on this topic.
The Under-5 Mortality Database (U5MD) is the largest database to date of high-quality global mortality information by detailed age (by days, weeks, months, and years of age) from birth through age 5, by sex, which provides age-specific death rates and probabilities of dying by age (weeks, months, trimesters, years) for 25 countries with high-quality vital registration data, from 1841 until 2016.
Currently researchers on the project have published four journal articles in Population Health Metrics, PLOS One, Demographic Research, and the latest paper, "Modeling Age Patterns of Under-5 Mortality: Results From a Log-Quadratic Model Applied to High-Quality Vital Registration Data," in Demography.
New Population Center Work Paper (PSC/PARC): Guillot, Michel, Julio Romero Prieto, Andrea Verhulst, and Patrick Gerland. 2020. "Modeling Age Patterns of Under-5 Mortality: Results From a Log-Quadratic Model Applied to High-Quality Vital Registration Data." University of Pennsylvania Population Center Working Paper (PSC/PARC), 2020-54.
Collin Payne, GGD alumn, and Michel Guillot, PSC & PARC Research Associate, recently introduced a new way of measuring life expectancy accounting for the historical mortality conditions that today's older generations lived through. Read more about the study in Science Daily and check out the full article published in Population Studies.
Associate Director for Training, Population Studies Center
Chair, Graduate Group in Demography
Professor of Sociology
Ph.D., Demography and Sociology, University of Pennsylvania, 2000