Mathematical assessment of control strategies against the spread of MERS-CoV in humans and camels in Saudi Arabia

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dc.contributor.author Alatawi, Adel
dc.contributor.author Gumel, Abba B.
dc.date.accessioned 2025-03-19T04:43:05Z
dc.date.available 2025-03-19T04:43:05Z
dc.date.issued 2024-07
dc.description This article forms part of a special collection titled : multiscale modeling in epidemiology. en_US
dc.description.abstract A new mathematical model for the transmission dynamics and control of the Middle Eastern respiratory syndrome (MERS), a respiratory virus caused by MERS-CoV coronavirus (and primarily spread to humans by dromedary camels) that first emerged out of the Kingdom of Saudi Arabia (KSA) in 2012, was designed and used to study the transmission dynamics of the disease in a human-camel population within the KSA. Rigorous analysis of the model, which was fitted and cross-validated using the observed MERS-CoV data for the KSA, showed that its disease-free equilibrium was locally asymptotically stable whenever its reproduction number (denoted by R0M) was less than unity. Using the fixed and estimated parameters of the model, the value of R0M for the KSA was estimated to be 0.84, suggesting that the prospects for MERS-CoV elimination are highly promising. The model was extended to allow for the assessment of public health intervention strategies, notably the potential use of vaccines for both humans and camels and the use of face masks by humans in public or when in close proximity with camels. Simulations of the extended model showed that the use of the face mask by humans who come in close proximity with camels, as a sole public health intervention strategy, significantly reduced human-to-camel and camel-to-human transmission of the disease, and this reduction depends on the efficacy and coverage of the mask type used in the community. For instance, if surgical masks are prioritized, the disease can be eliminated in both the human and camel population if at least 45% of individuals who have close contact with camels wear them consistently. The simulations further showed that while vaccinating humans as a sole intervention strategy only had marginal impact in reducing the disease burden in the human population, an intervention strategy based on vaccinating camels only resulted in a significant reduction in the disease burden in camels (and, consequently, in humans as well). Thus, this study suggests that attention should be focused on effectively combating the disease in the camel population, rather than in the human population. Furthermore, the extended model was used to simulate a hybrid strategy, which combined vaccination of both humans and camels as well as the use of face masks by humans. This simulation showed a marked reduction of the disease burden in both humans and camels, with an increasing effectiveness level of this intervention, in comparison to the baseline scenario or any of the aforementioned sole vaccination scenarios. In summary, this study showed that the prospect of the elimination of MERS-CoV-2 in the Kingdom of Saudi Arabia is promising using pharmaceutical (vaccination) and nonpharmaceutical (mask) intervention strategies, implemented in isolation or (preferably) in combination, that are focused on reducing the disease burden in the camel population. en_US
dc.description.department Mathematics and Applied Mathematics en_US
dc.description.sdg SDG-03:Good heatlh and well-being en_US
dc.description.sdg SDG-09: Industry, innovation and infrastructure en_US
dc.description.uri http://www.aimspress.com/journal/MBE en_US
dc.identifier.citation Adel Alatawi, Abba B. Gumel. Mathematical assessment of control strategies against the spread of MERS-CoV in humans and camels in Saudi Arabia. Mathematical Biosciences and Engineering, 2024, 21(7): 6425-6470. doi: 10.3934/mbe.2024281. en_US
dc.identifier.issn 1547-1063 (print)
dc.identifier.issn 1551-0018 (online)
dc.identifier.other 10.3934/mbe.2024281
dc.identifier.uri http://hdl.handle.net/2263/101578
dc.language.iso en en_US
dc.publisher AIMS Press en_US
dc.rights © 2024 the Author(s), licensee AIMS Press. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0). en_US
dc.subject MERS-CoV-2 en_US
dc.subject Dromedary camels en_US
dc.subject Vaccination en_US
dc.subject Face mask en_US
dc.subject Reproduction number en_US
dc.subject SDG-09: Industry, innovation and infrastructure en_US
dc.subject Middle Eastern respiratory syndrome (MERS) en_US
dc.subject Kingdom of Saudi Arabia (KSA) en_US
dc.subject SDG-03: Good health and well-being en_US
dc.title Mathematical assessment of control strategies against the spread of MERS-CoV in humans and camels in Saudi Arabia en_US
dc.type Article en_US


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