Federal Ministry of Health - Nigeria
Interrogating “big data” to develop a user-friendly analysis framework for gender equity in MDA to ensure no one is left behind in Neglected Tropical Disease interventions in Nigeria
To develop and pilot a standardised analytical framework for the spatial and temporal analysis of routinely collected gender disaggregated NTD programme data. This will allow increased understanding and spatial visualisation of the influence of gendered programmatic inputs, external geographic and social factors on the equity of programmatic outputs, particularly access to mass administration of medicines (MAM).
- To define a cost-effective and accurate method to map ivermectin-naïve districts for Onchocerciasis, Lymphatic Filariasis and Loiasis and identify districts eligible for safe treatment with ivermectin MDA.
- To validate a statistical model of Loiasis prevalence and intensity by comparing the model results to data from a prevalence assessment.
To study the feasibility of LF and Oncho (Filariases) integrated transmission assessment survey iTAS) according to both LF and Onchocerciasis WHO elimination guidelines
Understanding the best uses of the Supervisor's Coverage Tool for monitoring school-based distributions
To compare the feasibility and programmatic implications of employing the Supervisor's Coverage Tool in schools vs. communities to monitor a school-based MDA.
The Supervisor’s Coverage Tool (SCT) is a rapid in-process monitoring tool for improving mass drug administration (MDA) coverage that has been approved by WHO for use in communities. However, questions remain as to whether it may also serve as a useful tool when implemented in schools. To answer this question, a direct comparison of school- vs. community-based SCT implementation was conducted in 13 Supervision Areas (SAs) in 7 Local Government Areas (LGAs), in 3 states in Nigeria. Within each SA, one SCT was conducted in the school and an independent SCT was conducted in a village within the catchment area of the same school. The SCTs were all monitoring the coverage for the same school-based MDA for praziquantel and mebendazole. The goal was to understand how the information learned through the SCT would vary based on the two different sampling frames.
Findings and lessons learned:
- The SCT helped find targeted schools for which a mass drug administration (MDA) was planned but were missed. Several unregistered (illegal) schools were missed as their existence was not known, therefore they were not targeted and included in the MDA; however, upon identification of these schools through the SCT, the schools were reached during mop-up and added to the database for future MDAs.
- An existing school feeding program increased students’ praziquantel intake in all northern Nigeria schools that were visited.
- In two SAs, school SCT results showed good coverage; however, the actual reported school coverage was below the recommended threshold. The discrepancy was due to a great number of student absences because of farming activities or drop outs after enrolment. Since any selected student who is absent is skipped by the SCT and a new student is selected in their place, the resulting coverage classification could be an inflation of the true coverage.
- Surveyors preferred SCT implementation in schools vs. community because household enumeration can be time-consuming.
- When SCT results from the school and the village were directly compared for the same population, the community-based SCT always resulted in an equal or lower classification of coverage, likely because community-based SCTs include the entire target population in the sampling frame, as opposed to being limited to school-attending children.