Regional variation and epidemiological insights in malaria underestimation in Cameroon.

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Title: Regional variation and epidemiological insights in malaria underestimation in Cameroon.
Authors: Iyaniwura SA; Theoretical Biology and Biophysics, Theoretical Division, Los Alamos National Laboratory, Los Alamos, NM 87545, USA., Han Q; Laboratory for Industrial and Applied Mathematics (LIAM), Department of Mathematics and Statistics, York University, Toronto, M3J 1P3, Ontario, Canada.; Africa-Canada Artificial Intelligence and Data Innovation Consortium (ACADIC), University of Toronto, Toronto, M5T 3M7, ON, Canada.; Artificial Intelligence & Mathematical Modeling Lab (AIMMLab), Dalla Lana School of Public Health, University of Toronto, 155 College Street, Toronto, M5T 3M7, ON, Canada.; Global South Artificial Intelligence for Pandemic and Epidemic Preparedness and Response Network (AI4PEP), University of Toronto, Toronto, M5T 3M7, ON, Canada., Yong NB; Africa-Canada Artificial Intelligence and Data Innovation Consortium (ACADIC), University of Toronto, Toronto, M5T 3M7, ON, Canada.; Department of Public Health, Regional Delegation of Public Health North West Region, Bamenda, Cameroon.; Global South Artificial Intelligence for Pandemic and Epidemic Preparedness and Response Network (AI4PEP), University of Toronto, Toronto, M5T 3M7, ON, Canada., Rutayisire G; Africa-Canada Artificial Intelligence and Data Innovation Consortium (ACADIC), University of Toronto, Toronto, M5T 3M7, ON, Canada.; Department of Mathematics and Statistics, York University, Toronto, M3J 1P3, Ontario, Canada.; Artificial Intelligence & Mathematical Modeling Lab (AIMMLab), Dalla Lana School of Public Health, University of Toronto, 155 College Street, Toronto, M5T 3M7, ON, Canada.; Global South Artificial Intelligence for Pandemic and Epidemic Preparedness and Response Network (AI4PEP), University of Toronto, Toronto, M5T 3M7, ON, Canada., Adom-Konadu A; Africa-Canada Artificial Intelligence and Data Innovation Consortium (ACADIC), University of Toronto, Toronto, M5T 3M7, ON, Canada.; Department of Mathematics, University of Cape Coast, Central Region, Cape Coast, Ghana.; Global South Artificial Intelligence for Pandemic and Epidemic Preparedness and Response Network (AI4PEP), University of Toronto, Toronto, M5T 3M7, ON, Canada., Mbah OP; Africa-Canada Artificial Intelligence and Data Innovation Consortium (ACADIC), University of Toronto, Toronto, M5T 3M7, ON, Canada.; Effective Basic Services Africa (eBASE), Research and Development, Bamenda, North West Region, Cameroon.; Global South Artificial Intelligence for Pandemic and Epidemic Preparedness and Response Network (AI4PEP), University of Toronto, Toronto, M5T 3M7, ON, Canada., Tchouassi DP; Africa-Canada Artificial Intelligence and Data Innovation Consortium (ACADIC), University of Toronto, Toronto, M5T 3M7, ON, Canada.; International Centre of Insect Physiology and Ecology, Nairobi, Kenya.; Global South Artificial Intelligence for Pandemic and Epidemic Preparedness and Response Network (AI4PEP), University of Toronto, Toronto, M5T 3M7, ON, Canada., Badu K; Africa-Canada Artificial Intelligence and Data Innovation Consortium (ACADIC), University of Toronto, Toronto, M5T 3M7, ON, Canada.; Department of Theoretical and Applied Biology, Kwame Nkrumah University of Science and Technology, University Post Office, Kumasi AK 039, Ghana.; Global South Artificial Intelligence for Pandemic and Epidemic Preparedness and Response Network (AI4PEP), University of Toronto, Toronto, M5T 3M7, ON, Canada., Kong JD; Africa-Canada Artificial Intelligence and Data Innovation Consortium (ACADIC), University of Toronto, Toronto, M5T 3M7, ON, Canada.; Artificial Intelligence & Mathematical Modeling Lab (AIMMLab), Dalla Lana School of Public Health, University of Toronto, 155 College Street, Toronto, M5T 3M7, ON, Canada.; Department of Mathematics, University of Toronto, Bahen Centre for Information Technology, 40 St. George Street, Toronto, M5S 2E4, ON, Canada.; Global South Artificial Intelligence for Pandemic and Epidemic Preparedness and Response Network (AI4PEP), University of Toronto, Toronto, M5T 3M7, ON, Canada.
Source: Infectious Disease Modelling [Infect Dis Model] 2025 May 30; Vol. 10 (4), pp. 1103-1115. Date of Electronic Publication: 2025 May 30 (Print Publication: 2025).
Publication Type: Journal Article
Journal Info: Publisher: KeAi Communications Co., Ltd Country of Publication: China NLM ID: 101692406 Publication Model: eCollection Cited Medium: Internet ISSN: 2468-0427 (Electronic) Linking ISSN: 24680427 NLM ISO Abbreviation: Infect Dis Model Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2468-0427
DOI:10.1016/j.idm.2025.05.006