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High-resolution, modelled DTP1,3 and MCV1 vaccination coverage and zero-dose estimates for Nigeria (2000 – 2024), version 1.0

Domaine:

healthcaregeospatial

Type de record:

dataset
Créateur:
UtaMegOloCha
Éditeur:
University of Southampton
Hôte:avatar
This data release provides gridded (at a spatial resolution of 30 arc-seconds, approximately 1 km grid cells), annual estimates of DTP1,3 and MCV1 vaccination coverage rates and numbers of zero-dose children (defined as those who had not received DTP1) for Nigeria covering the period from 2000 to 2024. The project team utilized data from the 2003, 2008, 2013, 2018, and 2024 Demographic and Health Surveys (DHS) and the 2016/17 and 2021 Multiple Indicator Cluster Surveys (MICS), along with geospatial covariates to model and predict vaccination coverage for each birth cohort within the study period. Estimates were produced for each grid cell within a Bayesian geostatistical modelling framework. The approach allowed the quantification of uncertainties in the coverage estimates. The estimation of numbers of zero-dose children combined the vaccination coverage estimates with existing high-resolution population estimates of children aged under one-year-old. These data were produced by the WorldPop’ VaxPop team at the University of Southampton. This work was part of the Gavi zero-dose III project, with funding provided by Gavi, the Vaccine Alliance [grant number: MEL 11779722]. Project partners included Gavi, UNICEF, and WorldPop at the University of Southampton.

Visit

doi.orgdata.worldpop.org

Tags

vaccination, vaccination coverage, zero-dose, Nigeria, DTP1, DTP3, MCV1

Licenses

Creative Commons Attribution 4.0 Internationalhttps://creativecommons.org/licenses/by/4.0/legalcode

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