Statistical methods for predicting the presence of Salmonella Typhi in wastewater samples at Asante Akyem Agogo, Ghana
S. Typhi detection is influenced by wastewater physicochemical properties, with pH, seasonal rainfall, and hydraulic conditions being the most significant. The non-spatial random forest model significantly outperforms both spatial and other non-spatial statistical methods.
Authors
- Seidu Amenyaglo
- Eric Darko (ORCID: https://orcid.org/0000-0002-7074-115X)
- Ellis Owusu‐Dabo (ORCID: https://orcid.org/0000-0003-4232-4292)
- Portia Okyere Boakye
- Nicholas C. Grassly
- Michael Owusu
- Sampson Twumasi-Ankrah
- Michael Owusu-Ansah
- Christopher B. Uzzell
- Caleb Osei-Wusu Sarfo
- Isobel M. Blake
Institutions
- Kwame Nkrumah University of Science and Technology (GH)
- Presbyterian University, Ghana (GH)
- Imperial College London (GB)
Publication Details
- Journal
- PLoS neglected tropical diseases
- Published
- 2026-02-17
- DOI
- https://doi.org/10.1371/journal.pntd.0013973
- Primary Topic
- Salmonella and Campylobacter epidemiology
- Type
- article
- Field-Weighted Citation Impact
- 0.00