Optimizing the survey design for assessing schistosomiasis at the sub-district for treatment decision making
This study provides guidelines for evaluating sub-district schistosomiasis in a range of transmission settings. Among two-stage cluster surveys for schistosomiasis, our simulations show surveying three schools per sub-district and 20-30 SAC per school optimized cost-efficiency and minimized risk of mistreatment. Population size and endemicity influenced survey estimates, with the probability of misclassification being greater as populations increased or prevalence decreased.
Authors
- Serena Knowles (ORCID: https://orcid.org/0000-0002-5028-3825)
- Andrew N. Phillips (ORCID: https://orcid.org/0000-0003-2384-4807)
- Joseph P. Shott
- M Traoré (ORCID: https://orcid.org/0009-0004-5732-189X)
- Ibrahim Kargbo-Labor
- Clarisse Bougouma
- M Dorkenoo
- Lloyd W. Klein (ORCID: https://orcid.org/0000-0003-0156-3094)
- David S. Evans (ORCID: https://orcid.org/0000-0003-3940-3344)
- Nancy M. Kane
- Diana Stukel
- Jianping Zhang (ORCID: https://orcid.org/0000-0002-0956-9987)
- Joseph Opare
- Piham Gnossike
- A Kaboré
Institutions
- Family Health International 360 (US)
- Helen Keller International (US)
- Ministère de la Santé et de l'Hygiène Publique (ML)
- United States Agency for International Development (US)
- University of Oxford (GB)
- Ministère de la Santé (MA)
- Ministère De La Santé (BF)
- Ministère de la Santé (LU)
- Ghana Health Service (GH)
- University of Lomé (TG)
Publication Details
- Journal
- Acta Tropica
- Published
- 2024-10-18
- DOI
- https://doi.org/10.1016/j.actatropica.2024.107422
- Citations
- 2
- Primary Topic
- Parasites and Host Interactions
- Type
- article
- Field-Weighted Citation Impact
- 1.03
Funders
- United States Agency for International Development