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

dc.contributor.authorAlatawi, Adel
dc.contributor.authorGumel, Abba B.
dc.date.accessioned2025-03-19T04:43:05Z
dc.date.available2025-03-19T04:43:05Z
dc.date.issued2024-07
dc.descriptionThis article forms part of a special collection titled : multiscale modeling in epidemiology.en_US
dc.description.abstractA 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.departmentMathematics and Applied Mathematicsen_US
dc.description.sdgSDG-03:Good heatlh and well-beingen_US
dc.description.sdgSDG-09: Industry, innovation and infrastructureen_US
dc.description.urihttp://www.aimspress.com/journal/MBEen_US
dc.identifier.citationAdel 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.issn1547-1063 (print)
dc.identifier.issn1551-0018 (online)
dc.identifier.other10.3934/mbe.2024281
dc.identifier.urihttp://hdl.handle.net/2263/101578
dc.language.isoenen_US
dc.publisherAIMS Pressen_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.subjectMERS-CoV-2en_US
dc.subjectDromedary camelsen_US
dc.subjectVaccinationen_US
dc.subjectFace masken_US
dc.subjectReproduction numberen_US
dc.subjectSDG-09: Industry, innovation and infrastructureen_US
dc.subjectMiddle Eastern respiratory syndrome (MERS)en_US
dc.subjectKingdom of Saudi Arabia (KSA)en_US
dc.subjectSDG-03: Good health and well-beingen_US
dc.titleMathematical assessment of control strategies against the spread of MERS-CoV in humans and camels in Saudi Arabiaen_US
dc.typeArticleen_US

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