Regional variation and epidemiological insights in malaria underestimation in Cameroon
The low case estimation underscores the pressing requirement to bolster reporting and surveillance systems. Regions in Cameroon display a range of unique features contributing to the differing levels of underestimation. These distinctions should be considered when evaluating the efficacy of community-based interventions.
Authors
- David P. Tchouassi (ORCID: https://orcid.org/0000-0001-9910-4704)
- Agnes Adom‐Konadu (ORCID: https://orcid.org/0000-0002-1916-0560)
- Jude Dzevela Kong (ORCID: https://orcid.org/0000-0002-7557-5672)
- Sarafa A. Iyaniwura (ORCID: https://orcid.org/0000-0002-8854-2335)
- Patrick Okwen (ORCID: https://orcid.org/0000-0002-9017-7496)
- Qing Kai Han (ORCID: https://orcid.org/0000-0001-9670-144X)
- Kingsley Badu (ORCID: https://orcid.org/0000-0002-7886-5528)
- Ngem Bede Yong
- Ghislain Rutayisire
Institutions
- University of Cape Coast (GH)
- Los Alamos National Laboratory (US)
- International Centre of Insect Physiology and Ecology (KE)
- University of Toronto (CA)
- York University (CA)
- University of Bamenda (CM)
- Kwame Nkrumah University of Science and Technology (GH)
- Artificial Intelligence in Medicine (Canada) (CA)
Publication Details
- Journal
- Infectious Disease Modelling
- Published
- 2025-05-30
- DOI
- https://doi.org/10.1016/j.idm.2025.05.006
- Primary Topic
- Malaria Research and Control
- Type
- article
- Field-Weighted Citation Impact
- 0.00