Understanding the trend of COVID-19 is important
for purposes of formulating and implementing appropriate precautionary measures
to mitigate the spread of the epidemic. In this study, the ANN approach was
applied to analyze daily COVID-19 cases in Tunisia. This study is based on
monthly new cases of COVID-19 in Tunisia for the period 1 January 2020 – 25
March 2021. The out-of-sample forecast covers the period 26 March 2021 – 31
July 2021. The residuals and forecast evaluation criteria (Error, MSE and MAE)
of the model used in this study indicate that the model is stable in
forecasting daily COVID-19 cases in the country. The results of the study
indicate that daily COVID-19 cases in Tunisia are likely to will continue to
decline and reach zero cases per day around mid April 2021.The government of
Tunisia should continue to enforce adherence to the WHO sanitary rules and
guidelines in order to suppress any further increase in the number of cases.
Country : Zimbabwe
1 Dr. Smartson. P. NYONI2 Mr. Thabani NYONI3 Mr. Tatenda. A. CHIHOHO
ZICHIRe Project, University of Zimbabwe, Harare, Zimbabwe
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Epidemiological Modeling of COVID-19 in Saudi Arabia: Spread Projection,
Awareness, and Impact of Treatment, Applied
Sciences, 10 (5895): 1 – 13.
Huang, C., et al. (2020).
Clinical Features of Patients Infected With 2019 Novel Coronavirus in Wuhan,
China, Lancet, 395: 497 – 506.
