IMPROVE and Global Child Mortality Estimation

This project page brings together a major strand of my earlier work at Johns Hopkins Bloomberg School of Public Health on child mortality and cause-of-death estimation, and global health evidence generation. My role across this work was as a core researcher leading systematic reviews, conducting modeling, data analysis, and contributing to publications, including work that fed into WHO statistics, reports, and high-impact papers.

The IMPROVE project was designed to improve evidence, estimates, and programming for maternal, newborn, child, and adolescent health and nutrition. It built on earlier initiatives including the Child Health Epidemiology Reference Group (CHERG) and the Maternal and Child Epidemiology Estimation (MCEE) project.

My contributions

• Modeling and data analysis for mortality and cause-of-death estimation
• Research support for WHO-facing statistics, reports, and publications
• Methodological and empirical work that helped translate evidence into global and country-level estimates
• Managing, training and coordinating research assistants working on the projects

Project lineage

IMPROVE

IMPROVE focused on improving estimates of causes and determinants of mortality, strengthening intervention coverage evidence, and supporting better programming through tools such as LiST.

CHERG

CHERG worked to develop and deploy improved evidence on maternal, neonatal, and child morbidity and mortality, intervention coverage, and intervention effectiveness to inform global priorities and programs.

MCEE

MCEE focused on timely, high-quality estimation of maternal, neonatal, and child mortality and morbidity, including global, regional, national, and selected subnational estimates.