Article de revue
Measuring populations to improve vaccination coverage
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.
Langues
- Anglais
Année de publication
2016
Journal
Scientific Reports
Volume
6:34541 | DOI: 10.1038/srep34541
Type
Article de revue
Catégories
- Données
Mots-clés
- Coverage monitoring
- Data quality
- Immunization information systems
Références sur le sujet
COV-METH-PUB