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Measuring populations to improve vaccination coverage

Measuring populations to improve vaccination coverage
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.
1-10
Bharti, Nita
2599876b-d215-44b4-ad2a-67460bbf7bdb
Djibo, Ali
e0b217b2-e31d-4e65-8ffc-c4cad11018fe
Tatem, Andrew J.
6c6de104-a5f9-46e0-bb93-a1a7c980513e
Grenfell, Bryan T.
f80f3700-0b24-4932-80bf-d5ac2201882e
Ferrari, Matthew J.
3255ed70-b9b8-4262-a96e-66b6ddb3d2df
Bharti, Nita
2599876b-d215-44b4-ad2a-67460bbf7bdb
Djibo, Ali
e0b217b2-e31d-4e65-8ffc-c4cad11018fe
Tatem, Andrew J.
6c6de104-a5f9-46e0-bb93-a1a7c980513e
Grenfell, Bryan T.
f80f3700-0b24-4932-80bf-d5ac2201882e
Ferrari, Matthew J.
3255ed70-b9b8-4262-a96e-66b6ddb3d2df

Bharti, Nita, Djibo, Ali, Tatem, Andrew J., Grenfell, Bryan T. and Ferrari, Matthew J. (2016) Measuring populations to improve vaccination coverage. Scientific Reports, 5 (34541), 1-10. (doi:10.1038/srep34541).

Record type: Article

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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More information

Accepted/In Press date: 14 September 2016
e-pub ahead of print date: 5 October 2016
Organisations: WorldPop, Population, Health & Wellbeing (PHeW)

Identifiers

Local EPrints ID: 401210
URI: https://eprints.soton.ac.uk/id/eprint/401210
PURE UUID: 80d0982c-d0cf-463c-9523-0a4ab19b6af9
ORCID for Andrew J. Tatem: ORCID iD orcid.org/0000-0002-7270-941X

Catalogue record

Date deposited: 10 Oct 2016 14:30
Last modified: 06 Jun 2018 12:28

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