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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
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  Data: <searchLink fieldCode="AU" term="%22Iyaniwura+SA%22">Iyaniwura SA</searchLink>; Theoretical Biology and Biophysics, Theoretical Division, Los Alamos National Laboratory, Los Alamos, NM 87545, USA.<br /><searchLink fieldCode="AU" term="%22Han+Q%22">Han Q</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Yong+NB%22">Yong NB</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Rutayisire+G%22">Rutayisire G</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Adom-Konadu+A%22">Adom-Konadu A</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Mbah+OP%22">Mbah OP</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Tchouassi+DP%22">Tchouassi DP</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Badu+K%22">Badu K</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Kong+JD%22">Kong JD</searchLink>; 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.
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  Data: <searchLink fieldCode="JN" term="%22101692406%22">Infectious Disease Modelling</searchLink> [Infect Dis Model] 2025 May 30; Vol. 10 (4), pp. 1103-1115. <i>Date of Electronic Publication: </i>2025 May 30 (<i>Print Publication: </i>2025).
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22KeAi+Communications+Co%2E%2C+Ltd%22">KeAi Communications Co., Ltd </searchLink><i>Country of Publication: </i>China <i>NLM ID: </i>101692406 <i>Publication Model: </i>eCollection <i>Cited Medium: </i>Internet <i>ISSN: </i>2468-0427 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2224680427%22">24680427 </searchLink><i>NLM ISO Abbreviation: </i>Infect Dis Model <i>Subsets: </i>PubMed not MEDLINE
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      – Type: doi
        Value: 10.1016/j.idm.2025.05.006
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        Text: English
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              Text: 2025 May 30
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