ArticleScientific reports2023
Estimating vaccine coverage in conflict settings using geospatial methods: a case study in Borno state, Nigeria.
Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Article
- The influence of women's empowerment on childhood vaccination coverage in Nigeria: a spatio-temporal analysis.Scientific reports · 2026Article
- Health-seeking in fragile and conflict-affected settings: how armed violent conflict shapes maternal and child health-seeking behaviours.BMC public health · 2026Article
- Prediction of subnational-level vaccination coverage estimates using routine surveillance data and survey data.Vaccine · 2025Article
- A population-level analysis of armed conflict and diphtheria at the subnational level in the WHO African Region 2017-2024.BMC global and public health · 2025Article
- Subnational variations in the quality of household survey data in sub-Saharan Africa.Nature communications · 2025Article
- Between war and pestilence: the impact of armed conflicts on vaccination efforts: a review of literature.Frontiers in public health · 2025Review
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Authors and funding
33 authors.
Funding
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Abstract
Reliable estimates of subnational vaccination coverage are critical to track progress towards global immunisation targets and ensure equitable health outcomes for all children. However, conflict can limit the reliability of coverage estimates from traditional household-based surveys due to an inability to sample in unsafe and insecure areas and increased uncertainty in underlying population estimates. In these situations, model-based geostatistical (MBG) approaches offer alternative coverage estimates for administrative units affected by conflict. We estimated first- and third-dose diphtheria-tetanus-pertussis vaccine coverage in Borno state, Nigeria, using a spatiotemporal MBG modelling approach, then compared these to estimates from recent conflict-affected, household-based surveys. We compared sampling cluster locations from recent household-based surveys to geolocated data on conflict locations and modelled spatial coverage estimates, while also investigating the importance of reliable population estimates when assessing coverage in conflict settings. These results demonstrate that geospatially-modelled coverage estimates can be a valuable additional tool to understand coverage in locations where conflict prevents representative sampling.
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