IMPROVE and Global Child Mortality Estimation

At Johns Hopkins Bloomberg School of Public Health, I contributed to a major body of work on child mortality, cause-of-death estimation, and global health evidence generation. My role included systematic reviews, modeling, data analysis, research coordination, and contributions to publications and WHO-facing statistics and reports.

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.