Forecasting malaria cases using climate variability in Sierra Leone
These findings underscore the ANN's ability to capture non-linear dynamics, even without explicit climate inputs. These results reinforce the value of machine learning modelling approaches in guiding malaria control strategies, particularly in high-burden settings like Sierra Leone.
Authors
- Sulaiman Jalloh (ORCID: https://orcid.org/0000-0002-3131-3742)
- Mary H. Hodges (ORCID: https://orcid.org/0000-0002-1776-7641)
- Boniface Malenje
- Herbert Imboga (ORCID: https://orcid.org/0009-0003-9963-4977)
Institutions
- Njala University (SL)
- Jomo Kenyatta University of Agriculture and Technology (KE)
Publication Details
- Journal
- Malaria Journal
- Published
- 2025-05-20
- DOI
- https://doi.org/10.1186/s12936-025-05389-4
- Citations
- 4
- Primary Topic
- Malaria Research and Control
- Type
- article
- Field-Weighted Citation Impact
- 7.51