We adapted and applied innovative solutions based on frontier data technologies (artificial intelligence, machine learning, novel data science models, and satellite vision) and generated geolocated data to be used to locate and serve zero-dose and under-immunized children, and support unreached communities in Mali, Ivory Coast, Guinea, Nigeria, Chad and Cameroon. 

Project outputs aim to transform these countries’ ability to prepare and inform broader health interventions, including microplanning of immunization campaigns, optimization of vaccination sites’ location,  efficiency of distribution, as well as coordination of immunization and birth registration services, policymaking, and calculation of key indicators. 

The overall objective was to inform the expansion of the coverage of immunization and birth registration service delivery, following the SDG principle of leaving no one behind. This solution can also be scaled across programme sectors to estimate and evaluate the coverage of other children’s rights and services, like education.

Project outputs

• Gridded estimates of population split by gender and age. 
• Geo–statistically interpolated and spatially disaggregated estimates of under-vaccinated and zero-dose children, at t1km resolution.