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Mathematical modeling of COVID-19 transmission dynamics between healthcare workers and community

Corona-virus disease 2019 (COVID-19) is an infectious disease that has affected different groups of humankind such as farmers, soldiers, drivers, educators, students, healthcare workers and many others. The transmission rate of the disease varies from one group to another depending on the contact ra...

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Detalles Bibliográficos
Autores principales: Masandawa, Lemjini, Mirau, Silas Steven, Mbalawata, Isambi Sailon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Authors. Published by Elsevier B.V. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8420379/
https://www.ncbi.nlm.nih.gov/pubmed/34513578
http://dx.doi.org/10.1016/j.rinp.2021.104731
Descripción
Sumario:Corona-virus disease 2019 (COVID-19) is an infectious disease that has affected different groups of humankind such as farmers, soldiers, drivers, educators, students, healthcare workers and many others. The transmission rate of the disease varies from one group to another depending on the contact rate. Healthcare workers are at a high risk of contracting the disease due to the high contact rate with patients. So far, there exists no mathematical model which combines both public control measures (as a parameter) and healthcare workers (as an independent compartment). Combining these two in a given mathematical model is very important because healthcare workers are protected through effective use of personal protective equipment, and control measures help to minimize the spread of COVID-19 in the community. This paper presents a mathematical model named SWE [Formula: see text] HR; susceptible individuals (S), healthcare workers (W), exposed (E), symptomatic infectious ([Formula: see text]), asymptomatic infectious ([Formula: see text]), hospitalized (H), recovered (R). The value of basic reproduction number [Formula: see text] for all parameters in this study is 2.8540. In the absence of personal protective equipment [Formula: see text] and control measure in the public [Formula: see text] , the value of [Formula: see text] which implies the presence of the disease. When [Formula: see text] and [Formula: see text] were introduced in the model, basic reproduction number is reduced to 0.4606, indicating the absence of disease in the community. Numerical solutions are simulated by using Runge–Kutta fourth-order method. Sensitivity analysis is performed to presents the most significant parameter. Furthermore, identifiability of model parameters is done using the least square method. The results indicated that protection of healthcare workers can be achieved through effective use of personal protective equipment by healthcare workers and minimization of transmission of COVID-19 in the general public by the implementation of control measures. Generally, this paper emphasizes the importance of using protective measures.