Mathematical modelling of COVID-19 transmission dynamics in a partially comorbid community

Autor: J. Ssebuliba, J.N. Nakakawa, A. Ssematimba, J.Y.T. Mugisha
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Zdroj: Partial Differential Equations in Applied Mathematics, Vol 5, Iss , Pp 100212- (2022)
Druh dokumentu: article
ISSN: 2666-8181
DOI: 10.1016/j.padiff.2021.100212
Popis: A deterministic S,Em,Ec,Im,Ic,H,Repidemic model that describes the spreading of SARS-COV-2 within a community with comorbidities is formulated. Size dependent area is incorporated into the model to quantify the effect of social distancing and the results indicate that the risk of community transmission is optimally minimised when the occupancy area is increased. The reproduction number is shown to have a positive relationship with the infection rate, the proportion of individuals with comorbidities and the proportion of susceptible individuals adhering to standard operating procedures. The model exhibits a unique endemic equilibrium whose stability largely depends on the rate of hospitalisation of individuals with underlying health conditions (ωm) as compared to those without these conditions (ωc), such that stability is guaranteed if ωm
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