ArticleBMC public health2018
Sub-national variation in measles vaccine coverage and outbreak risk: a case study from a 2010 outbreak in Malawi.
Article in BMC public health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed.
- Assessing Geographic Inequalities in Childhood Immunisation Coverage: A Critical Scoping Review of Spatial Analysis Methods.Vaccines · 2026Article
- A health and economic evaluation of the spatial spillover effect from measles resurgence.Scientific reports · 2025Article
- Prediction of subnational-level vaccination coverage estimates using routine surveillance data and survey data.Vaccine · 2025Article
- Fitting dynamic measles models to subnational case notification data from Ethiopia: Methodological challenges and key considerations.PLoS computational biology · 2025Article
- A scoping review of the methods used to estimate health facility catchment populations for child health indicators in sub-Saharan Africa.Population health metrics · 2025Article
- Starting then stopping: a nationwide register-based study on the magnitude, predictors, and urban-rural patterns of under-vaccination variation across health centers in The Gambia.Global health action · 2024Article
- Progress with the Second Dose Measles Vaccine Introduction and Coverage in the WHO African Region.Vaccines · 2024Article
- Malaria vaccine coverage estimation using age-eligible populations and service user denominators in Kenya.Malaria journal · 2023Article
- Malawi vaccination drive: An integrated immunization campaign against typhoid, measles, rubella, and polio; health benefits and potential challenges.Human vaccines & immunotherapeutics · 2023Review
- Spatial clustering in vaccination hesitancy: The role of social influence and social selection.PLoS computational biology · 2022Article
- Governance structure affects transboundary disease management under alternative objectives.BMC public health · 2021Article
- Lives saved with vaccination for 10 pathogens across 112 countries in a pre-COVID-19 world.eLife · 2021Article
- Article
- Article
- Fine-scale spatial clustering of measles nonvaccination that increases outbreak potential is obscured by aggregated reporting data.Proceedings of the National Academy of Sciences of the United States of America · 2020Article
- Review
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7 authors.
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Abstract
backgroundDespite progress towards increasing global vaccination coverage, measles continues to be one of the leading, preventable causes of death among children worldwide. Whether and how to target sub-national areas for vaccination campaigns continues to remain a question. We analyzed three metrics for prioritizing target areas: vaccination coverage, susceptible birth cohort, and the effective reproductive ratio (R
methodsUsing case-based surveillance data from the 2010 measles outbreak in Malawi, we estimated vaccination coverage from the proportion of cases reporting with a history of prior vaccination at the district and health facility catchment scale. Health facility catchments were defined as the set of locations closer to a given health facility than to any other. We combined these estimates with regional birth rates to estimate the size of the annual susceptible birth cohort. We also estimated the effective reproductive ratio, R
resultsThe estimated vaccination coverage across all districts was 84%, but ranged from 61 to 99%. We found that 8 districts and 354 health facility catchments had estimated vaccination coverage below 80%. Areas that had highest birth cohort size were frequently large urban centers that had high vaccination coverage. The estimated R
conclusionsEach metric for prioritization may result in discrete target areas for vaccination campaigns; thus, there are tradeoffs to choosing one metric over another. However, in some cases, certain areas may be prioritized by all three metrics. These areas should be treated with particular concern. Furthermore, the spatial scale at which each metric is calculated impacts the resulting prioritization and should also be considered when prioritizing areas for vaccination campaigns. These methods may be used to allocate effort for prophylactic campaigns or to prioritize response for outbreak response vaccination.
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