To perform the analysis, GRID3 Nigeria experts assembled over 72 geospatial covariate datasets and 30 covariates were selected. These were then run through a covariate selection process, after which six covariates were retained for the final analyses. The covariate data* selected for the final analyses included 1) proportion of people living in poverty, 2) pig density, 3) travel time to health facilities, 4) mean land surface temperature, 5) settlement type – urban/rural, and 6) distance to the edge of cultivated areas.
A Bayesian geostatistical model was then used for each of ﬁve PCCS indicators assessing the individual and combined performance of routine immunisation and the campaign, to produce coverage estimates at different spatial scales. GRID3 data was used to identify settlements in areas that failed to meet a coverage threshold of 50% during the campaign so that these could be prioritised and targeted during future vaccination campaigns.