• Login
    View Item 
    •   NM-AIST Home
    • Computational and Communication Science Engineering
    • Research Articles [CoCSE]
    • View Item
    •   NM-AIST Home
    • Computational and Communication Science Engineering
    • Research Articles [CoCSE]
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

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

    Thumbnail
    View/Open
    Full text (161.5Kb)
    Date
    2021-10
    Author
    Masandawa, Lemjini
    Mirau, Silas
    Mbalawata, Isambi
    Metadata
    Show full item record
    Abstract
    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 𝐼𝑠 𝐼𝑎HR; susceptible individuals (S), healthcare workers (W), exposed (E), symptomatic infectious (𝐼𝑠 ), asymptomatic infectious (𝐼𝑎 ), hospitalized (H), recovered (R). The value of basic reproduction number 𝑅0 for all parameters in this study is 2.8540. In the absence of personal protective equipment 𝜉 and control measure in the public 𝜃, the value of 𝑅0 ≈ 4.6047 which implies the presence of the disease. When 𝜃 and 𝜉 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.
    URI
    https://doi.org/10.1016/j.rinp.2021.104731
    https://dspace.nm-aist.ac.tz/handle/20.500.12479/2444
    Collections
    • Research Articles [CoCSE]

    Nelson Mandela-AIST copyright © 2021  DuraSpace
    Theme by 
    Atmire NV
     

     

    Browse

    All PublicationsCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

    My Account

    LoginRegister

    Nelson Mandela-AIST copyright © 2021  DuraSpace
    Theme by 
    Atmire NV