Dotse-Gborgbortsi, Winfred, Yankey, Ortis, Utazi, Edson, Tejedor Garavito, Natalia, Chaudhuri, Somnath, Bonnie, Amy L, Chamberlain, Heather, Wright, Jim, Tatem, Andrew and Nilsen, Kristine (2026) Estimates of zero maternal and newborn health service utilisation across 34 African countries, version 1.0. University of Southampton doi:10.5258/SOTON/WP00884 [Dataset]
Abstract
This data release provides gridded estimates of Zero Maternal and Newborn Health (ZMNH) service non-utilisation at a spatial resolution of 30 arc-seconds (approximately 1 km grid cells). The project team used data from the Demographic and Health Surveys (DHS) and geospatial covariates to model and predict ZMNH prevalence across 34 countries in sub-Saharan Africa. ZMNH prevalence was defined as the proportion of women who received fewer than four antenatal care visits, had no skilled attendant at birth, and received no postnatal care for either the mother or the baby from a skilled provider within 48 hours of birth. To ensure consistency across countries, a skilled provider for all three services was defined as a doctor, midwife, or nurse. Estimates were generated for each grid cell using a Bayesian geostatistical modelling framework, which enabled quantification of uncertainty in the coverage estimates. These data were produced by the WorldPop Countdown to 2030 team at the University of Southampton and University College London as part of the Countdown to 2030 Project Gavi Zero-Dose III project, funded by the Bill & Melinda Gates Foundation (INV-042414).
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