Pregnancy reporting and biases in under-five mortality in three African HDSSs

In the absence of complete civil registration and vital statistics, Health and Demographic Surveillance Systems (HDSSs) are important sources of population-based data throughout sub-Saharan Africa. However, HDSS data on the vital status of newborns are often unreliable due to omission of those who were born and died between two rounds of data collection and are therefore never enumerated. This study investigates whether pregnancy registration improves estimation of under-five mortality (U5M) in three HDSSs in The Gambia, Kenya, and South Africa. We find that mortality is higher for children whose mother's pregnancy was observed than for children who were first registered after birth. Cox proportional hazards models with inverse probability weights further suggest that this difference is probably due to improved ascertainment of deaths in pregnancy cohorts and unlikely to be driven by a selection effect. These results highlight the importance of pregnancy registration in HDSSs for the estimation of U5M.

Authors

Institutions

Publication Details

Journal
Population Studies
Published
2025-11-12
DOI
https://doi.org/10.1080/00324728.2025.2573925
Primary Topic
Global Maternal and Child Health
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Pregnancy reporting and biases in under-five mortality in three African HDSSs

David Obor, Jeffrey W. Eaton, Julio Romero Prieto, Momodou Jasseh et al.
Population Studies
Global Maternal and Child Health
article

Pregnancy reporting and biases in under-five mortality in three African HDSSs

David Obor, Jeffrey W. Eaton, Julio Romero Prieto, Momodou Jasseh, Sammy Khagayi, Kobus Herbst, Dickman Gareta, Hallie Eilerts, Georges Reniers
article en

Abstract

In the absence of complete civil registration and vital statistics, Health and Demographic Surveillance Systems (HDSSs) are important sources of population-based data throughout sub-Saharan Africa. However, HDSS data on the vital status of newborns are often unreliable due to omission of those who were born and died between two rounds of data collection and are therefore never enumerated. This study investigates whether pregnancy registration improves estimation of under-five mortality (U5M) in three HDSSs in The Gambia, Kenya, and South Africa. We find that mortality is higher for children whose mother's pregnancy was observed than for children who were first registered after birth. Cox proportional hazards models with inverse probability weights further suggest that this difference is probably due to improved ascertainment of deaths in pregnancy cohorts and unlikely to be driven by a selection effect. These results highlight the importance of pregnancy registration in HDSSs for the estimation of U5M.

Population Studies
Harvard University (US), Johns Hopkins University (US), Kenya Medical Research Institute (KE), Health & Medical Publishing Group (ZA), London School of Hygiene & Tropical Medicine (GB), NIHR Imperial Biomedical Research Centre (GB), MRC Unit the Gambia (GM), Africa Health Research Institute (ZA), Imperial College London (GB)
Openalex Percentile: Top 54%
Global Maternal and Child Health
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.