Forecasting malaria dynamics based on causal relations between control interventions, climatic factors, and disease incidence in western Kenya
Our findings demonstrate the utility of CCM in establishing causal linkages between malaria incidence and both climatic and non-climatic drivers. By identifying these causal links and suitability ranges, we provide valuable information for modelling the impact of future climate scenarios.
Authors
- Stephen Munga (ORCID: https://orcid.org/0000-0002-7230-7824)
- Godfrey Bigogo
- Penelope Vounatsou (ORCID: https://orcid.org/0000-0002-4904-5352)
- Sammy Khagayi (ORCID: https://orcid.org/0000-0002-2470-1851)
- Ina Danquah (ORCID: https://orcid.org/0000-0003-3222-3498)
- Bryan O. Nyawanda (ORCID: https://orcid.org/0000-0003-0069-1473)
- Simon Kariuki (ORCID: https://orcid.org/0000-0001-9241-5550)
Institutions
- University of Bonn (DE)
- Swiss Tropical and Public Health Institute (CH)
- University of Basel (CH)
- Kenya Medical Research Institute (KE)
Publication Details
- Journal
- Journal of Global Health
- Published
- 2024-10-10
- DOI
- https://doi.org/10.7189/jogh.14.04208
- Citations
- 2
- Primary Topic
- Malaria Research and Control
- Type
- article
- Field-Weighted Citation Impact
- 1.09
Funders
- National Science Foundation
- Deutsche Forschungsgemeinschaft
- Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
- Centers for Disease Control and Prevention