ArticleScientific reports2016
Measuring populations to improve vaccination coverage.
Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
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Who cites it
23 citing papers in PubMed.
- Article
- Explanatory spatial modeling of COVID-19 vaccine coverage in Thailand: policy implications for equitable distribution.BMC public health · 2025Article
- Characterizing mobility patterns and malaria risk factors in semi-nomadic populations of Northern Kenya.PLOS global public health · 2024Article
- Crime, inequality and public health: a survey of emerging trends in urban data science.Frontiers in big data · 2023Review
- Article
- Impact of health system strengthening on delivery strategies to improve child immunisation coverage and inequalities in rural Madagascar.BMJ global health · 2022Article
- Estimating population-based coverage of reproductive, maternal, newborn, and child health (RMNCH) interventions from health management information systems: a comprehensive review.BMC health services research · 2021Review
- Using big data for evaluating development outcomes: A systematic map.Campbell systematic reviews · 2021Article
- Every Child on the Map: A Theory of Change Framework for Improving Childhood Immunization Coverage and Equity Using Geospatial Data and Technologies.Journal of medical Internet research · 2021Article
- An approach to integrate population mobility patterns and sociocultural factors in communicable disease preparedness and response.Humanities & social sciences communications · 2021Article
- Measuring the contribution of built-settlement data to global population mapping.Social sciences & humanities open · 2021Article
- Containing measles in conflict-driven humanitarian settings.BMJ global health · 2020Article
- Investigating persistent measles dynamics in Niger and associations with rainfall.Journal of the Royal Society, Interface · 2020Article
- Review
- Article
- A high-resolution gridded dataset to assess electrification in sub-Saharan Africa.Scientific data · 2019Article
- Decreasing measles burden by optimizing campaign timing.Proceedings of the National Academy of Sciences of the United States of America · 2019Article
- Coverage and timeliness of vaccination and the validity of routine estimates: Insights from a vaccine registry in Kenya.Vaccine · 2018Article
- Fluctuations in anthropogenic nighttime lights from satellite imagery for five cities in Niger and Nigeria.Scientific data · 2018Article
- One step ahead: timing and sexual networks in population mobility and HIV prevention and care.Journal of the International AIDS Society · 2018Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
In low-income settings, vaccination campaigns supplement routine immunization but often fail to achieve coverage goals due to uncertainty about target population size and distribution. Accurate, updated estimates of target populations are rare but critical; short-term fluctuations can greatly impact population size and susceptibility. We use satellite imagery to quantify population fluctuations and the coverage achieved by a measles outbreak response vaccination campaign in urban Niger and compare campaign estimates to measurements from a post-campaign survey. Vaccine coverage was overestimated because the campaign underestimated resident numbers and seasonal migration further increased the target population. We combine satellite-derived measurements of fluctuations in population distribution with high-resolution measles case reports to develop a dynamic model that illustrates the potential improvement in vaccination campaign coverage if planners account for predictable population fluctuations. Satellite imagery can improve retrospective estimates of vaccination campaign impact and future campaign planning by synchronizing interventions with predictable population fluxes.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.