Publications

Nigeria's significant contribution to the global pool of zero-dose children persists despite ongoing immunisation investments. This coverage deficits in Kano and Lagos states serve as stark indicators of underlying structural and socio-economic obstacles hindering equitable immunisation access at the sub-national level.

To investigate these barriers, localised secondary data from various sources were collected including data from the State Routine Immunisation (RI) microplans, demographic and health survey data, supportive supervision data, immunisation coverage survey data, administrative data from health management information systems (HMIS), and vaccine security and logistics data to study the structural determinants of zero dose children and missed communities. This data was then visualised in an interactive geospatial dashboard deployed in Tableau to visualise and interpret key immunisation metrics. Using the Stochastic Partial Differential Equation (SPDE) approach in R Interface to Integrated Nested Laplace Approximations (R-INLA), a geostatistical model was developed to predict immunisation outcomes based on structural determinants identified from the literature.