The spread of Lassa fever infection is increasing in West Africa over the last decade. The impact of this can better be understood when considering the various possible trans-mission routes. We designed a mathematical model for the epidemiology of Lassa Fever using a system of nonlinear ordinary differential equations to determine the effect of transmission pathways toward the infection progression in humans and rodents including those usually neglected such as the environmental surface and aerosol routes. We analyzed the model and carried out numerical simulations to determine the impact of each transmission routes. Our results showed that the burden of Lassa fever infection is increased when all the transmission routes are incorporated and most single transmission routes are less harmful, but when in combination with other transmission routes, they increase the Lassa fever burden. It is therefore important to consider multiple transmission routes to better estimate the Lassa fever burden optimally and in turn determine control strategies targeted at the transmission pathways. (c) 2022 The Authors. Publishing services by Elsevier B.V. on behalf of KeAi Communications Co. Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
机构:
Bayero Univ, Dept Math Sci, Kano, Nigeria
Kano State Polytech, Dept Stat, Kano, NigeriaBayero Univ, Dept Math Sci, Kano, Nigeria
Abdulhamid, Abdurrahman
Hussaini, Nafiu
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Bayero Univ, Dept Math Sci, Kano, NigeriaBayero Univ, Dept Math Sci, Kano, Nigeria
Hussaini, Nafiu
Musa, Salihu S.
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Hong Kong Polytech Univ, Dept Appl Math, Hong Kong, Peoples R China
Kano Univ Sci & Technol, Dept Math, Wudil, NigeriaBayero Univ, Dept Math Sci, Kano, Nigeria
Musa, Salihu S.
He, Daihai
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Hong Kong Polytech Univ, Dept Appl Math, Hong Kong, Peoples R ChinaBayero Univ, Dept Math Sci, Kano, Nigeria
机构:
Bayero Univ, Dept Math Sci, Kano, Nigeria
Kano State Polytech, Dept Stat, Kano, NigeriaBayero Univ, Dept Math Sci, Kano, Nigeria
Abdulhamid, Abdurrahman
Hussaini, Nafiu
论文数: 0引用数: 0
h-index: 0
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Bayero Univ, Dept Math Sci, Kano, NigeriaBayero Univ, Dept Math Sci, Kano, Nigeria
Hussaini, Nafiu
Musa, Salihu S.
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h-index: 0
机构:
Hong Kong Polytech Univ, Dept Appl Math, Hong Kong, Peoples R China
Kano Univ Sci & Technol, Dept Math, Wudil, NigeriaBayero Univ, Dept Math Sci, Kano, Nigeria
Musa, Salihu S.
He, Daihai
论文数: 0引用数: 0
h-index: 0
机构:
Hong Kong Polytech Univ, Dept Appl Math, Hong Kong, Peoples R ChinaBayero Univ, Dept Math Sci, Kano, Nigeria