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An Analysis of the Dynamics of COVID-19 Pandemic in Zimbabwe Using the Extended SEIR Model with Treatment and Quarantine


Author(s) : Confess Matete, Justin Chirima, Eriyoti Chikodza, Isaac Nyambiya, Zakio Makuvara, Dominic Mashoko, Lawrence Sawunyama, Agrippa Dube
Global Perspectives on Health Geography

Abstract


The World Health Organization (WHO) predicted that unless effective measures were taken in Africa, as many as 44 million people would be infected by the COVID-19 virus with up to 190,000 fatalities in the first year alone. The Zimbabwean government tasked public and private institutions to produce non-pharmaceutical interventions (NPIs) such alcohol-based hand sanitizers (ABHS) alongside implementing social distancing measures such as quarantining and lockdowns as tools to prevent community transmission. The use of non-pharmaceuitical interventions such as handsanitizers and facemasks and an significant influx of returning residents especially those that came through undesignated entry point whose COVID-19 status is unknown, among other factors, have made it difficult to estimate epidemiological parameters for the COVID-19 pandemic in Zimbabwe. This chapter therefore examines the dynamics of the COVID-19 pandemic using an extended susceptible-exposed-infectious-removed (e-SEIR) model under these conditions of uncertainty in Zimbabwe. Computer simulations of different scenarios illustrate that quarantine and treatment reduce infection rate and fatalities by a significant margin. To slow the spread of COVID-19, considerable attention should also be devoted to strengthening contact tracing and detection of people suspected of being exposed.


Original language en
Pages (from-to) 125-145
Publication status Published - 2023