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Modelling transmission dynamics of coronavirus with infected immigrants in Tanzania

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dc.creator Alfred, H.
dc.creator Laurencia, N.
dc.creator Raymond, K.
dc.date 2022-03-08T10:22:12Z
dc.date 2022-03-08T10:22:12Z
dc.date 2021
dc.date.accessioned 2022-10-20T13:25:33Z
dc.date.available 2022-10-20T13:25:33Z
dc.identifier Alfred, 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.
dc.identifier 2710-0758
dc.identifier DOI: 10.33886/ajpas.v2i2.215
dc.identifier http://hdl.handle.net/20.500.12661/3445
dc.identifier.uri http://hdl.handle.net/20.500.12661/3445
dc.description Full Text Article. Also available at: https://journals.ku.ac.ke/index.php/AJPAS/article/view/215
dc.description This 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.
dc.language en
dc.publisher Kenyatta University
dc.subject Coronavirus
dc.subject Infected immigrants
dc.subject Reproduction number
dc.subject Coronavirus elimination
dc.subject COVID-19
dc.subject COVID-19 transmission
dc.subject Social interactions
dc.title Modelling transmission dynamics of coronavirus with infected immigrants in Tanzania
dc.type Article


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