A multi-country study aims to generate 'gold standard' prevalence surfaces for schistosomiasis across different archetypes in Africa. The work uses a similar protocol in Ghana, Togo, Mali, and Cote d’Ivoire to capture expected spatial heterogeneity for program impact assessments. The dataset is authored by Monique Ameyo Dorkenoo and was last updated in June 2026.
Use Cases
- Modeling schistosomiasis prevalence surfaces based on described spatial heterogeneity.
- Planning impact assessment surveys for schistosomiasis programs based on expected geographic patterns.
- Comparing disease archetypes across multiple African countries based on the multi-country protocol.
Strengths
- Part of a multi-country study covering Ghana, Togo, Mali, and Cote d’Ivoire.
- Designed to capture expected spatial heterogeneity for impact assessment.
- Aims to generate 'gold standard' prevalence surfaces.
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count is unknown, which may limit suitability assessment.
Provenance
- Source
- ODUM Harvested Dataverse
- Collection Method
- Oversampling study using a standardized protocol.
- Freshness
- Last updated 2026-06-15 03:10:09; freshness should be verified.
- Geography
- Togo, Ghana, Mali, Cote d’Ivoire