Modelling transmission dynamics of coronavirus with infected immigrants in Tanzania

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dc.contributor.authorAlfred, H.
dc.contributor.authorLaurencia, N.
dc.contributor.authorRaymond, K.
dc.date.accessioned2022-03-08T10:22:12Z
dc.date.available2022-03-08T10:22:12Z
dc.date.issued2021
dc.descriptionFull Text Article. Also available at: https://journals.ku.ac.ke/index.php/AJPAS/article/view/215en_US
dc.description.abstractThis paper proposes and analyses a compartmental deterministic nonlinear model for coronavirus transmission dynamics in Tanzania. The differential equation of stability theory is used to qualitatively evaluate the mathematical model. The basic reproductive number obtained, which represents the epidemic threshold for coronavirus elimination or persistence. Local stability analysis was performed with parameter values calculated based on data availability and accessibility in Tanzania. The findings revealed that infected immigrants have a greater influence on COVID-19 transmission in a population. Furthermore, it demonstrates that an increase in the number of infected immigrants may result in a high infection rate in the community. Besides that, social interactions among members of the community increase the rate of transmission.en_US
dc.identifier.citationAlfred, H., Laurencia, N. M., & Raymond, K. (2021). Modelling transmission dynamics of coronavirus with infected immigrants in Tanzania. African Journal of Pure and Applied Sciences, 2(2), 118-126.en_US
dc.identifier.issn2710-0758
dc.identifier.otherDOI: 10.33886/ajpas.v2i2.215
dc.identifier.urihttp://hdl.handle.net/20.500.12661/3445
dc.language.isoenen_US
dc.publisherKenyatta Universityen_US
dc.subjectCoronavirusen_US
dc.subjectInfected immigrantsen_US
dc.subjectReproduction numberen_US
dc.subjectCoronavirus eliminationen_US
dc.subjectCOVID-19en_US
dc.subjectCOVID-19 transmissionen_US
dc.subjectSocial interactionsen_US
dc.titleModelling transmission dynamics of coronavirus with infected immigrants in Tanzaniaen_US
dc.typeArticleen_US
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