RESEARCH
Geospatial variation in measles vaccine coverage through routine and campaign strategies in Nigeria: analysis of recent household surveys
Measles vaccination campaigns are conducted regularly in many low- and middle-income countries to boost measles control efforts and accelerate progress towards elimination. National and sometimes first-level administrative division campaign coverage may be estimated through post-campaign coverage surveys (PCCS). However, these large-area estimates mask significant geographic inequities in coverage at more granular levels. Here, we undertake a geospatial analysis of the Nigeria 2017-18 PCCS data to produce coverage estimates at 1×1 km resolution and the district level using binomial spatial regression models built on a suite of geospatial covariates and implemented in a Bayesian framework via the INLA-SPDE approach.
| Authors | C. Edson Utazi, John Wagai, Oliver Pannell, Felicity T. Cutts, Dale A. Rhoda, Matthew J. Ferrari, Boubacar Dieng, Joseph Oteri, M. Carolina Danovaro-Holliday, Adeyemi Adeniran, Andrew J. Tatem. |
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| Source | Vaccine: X |
| Published | 2020 |
