Through the Vaccinator Tracking Systems (VTS) project, we track the movement of vaccinators during SIAs to identify missed settlements and ensure that these settlements and their target population are reached, achieving a wider immunization coverage. Having mapped all the 36 states of Nigeria through the Geo-Referenced Infrastructure and Demographic Data for Development (GRID3) project, we provide up to date maps to states based on an accurate database of settlements and communities in Nigeria, enabling our partner states to plan more efficiently.
Case Study: Ganjuwa Local Government Area in Bauchi State
The Bauchi state master list of settlements contains 1,134 settlements for Ganjuwa Local Government Area (LGA). The planning for all interventions and projects in the state is based on this number. However, the eHealth Africa geodatabase has a list of 2,817 settlements for the same LGA, implying that almost 60% of the settlements in the LGA are left out during the microplanning process and consequently, during polio campaigns. Whenever eHA conducted the vaccinator tracking exercise based on the list on our geodatabase, the LGA perpetually fell below the target coverage rates.
To address this, eHA planned and conducted a “Hamlet Buster” activity to identify and rename the missed settlements in Ganjuwa LGA, in December 2019. The LGA had 2,051 machine-named settlements according to our geodatabase, the highest ever recorded in Nigeria. Machine-named settlements occur when geospatial data collection tools pick up on features that are indicative of hamlet areas or small settlement areas. During a hamlet buster activity, field data collectors trace and visit these settlements using their geocoordinates, determine their name and accurate boundaries, and update them on the geodatabase.
At the end of the hamlet buster activity in Ganjuwa, 1984 0f 2051 machine-named settlements were visited and renamed. This data will help to achieve the following in Bauchi State:
Harmonize the LGA/State master list of settlements with eHA’s geodatabase list
Create more accurate health facility catchment area maps and targets for Routine Immunization and other interventions