Time Series Analysis of Covid19 Infection in Zimbabwe · Electronic Theses and Dissertations

Author: Murenza, Godknows. C
Title: Time Series Analysis of Covid19 Infection in Zimbabwe
Abstract: The aim of this study was to provide an overview of COVID-19 infection in Zimbabwe. The objectives of the study were to establish the time series model that explains the rate of infection and to forecast the infection in the next six months. An ARIMA (5, 0, 0) model was employed on the daily time series data spanning from March 2020 to April 2023. The results of the study showed likelihood of increasing trend in COVID-19 infections. The predictions also pointed to possible increases of infections. The surge in cases has been attributed to the emergence of new variants, low vaccination rates, and limited access to testing and healthcare. The government has implemented various measures to control the spread of the disease, including lockdowns, travel restrictions, and vaccination campaigns. However, these measures have faced challenges due to limited resources, vaccine hesitancy, and misinformation. The study recommends continued efforts to increase vaccination rates, improve access to testing and healthcare, and combat misinformation through education and awareness campaigns.
Date: 2023
Publisher: BUSE
Keywords: Time Series Analysis
Supervisor: Mr Kusotera