When it comes to public health these days,
COVID-19 is of serious concern and considered as the supreme crisis of the
present era. A surge in the number patients testing positive for COVID-19 has
created a lot of stress and frustration on governing bodies worldwide and they
are finding it difficult to tackle the situation. In this research article, the
ANN approach was applied to analyze COVID-19 case volumes in South Sudan. This
study is based on daily new cases of COVID-19 in South Sudan 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 applied model reveal that the model is stable in
forecasting COVID-19 cases in South Sudan. It is projected that daily COVID-19
cases in South Sudan are likely to decline to zero cases per day around early
April 2021. The government of South Sudan should continue to ensure that there
is compliance to control and preventive COVID-19 measures such as social
distancing, quarantine, isolation, face-mask wearing and so on. There is also
need to embrace the vaccination programme in the country.
Country : Zimbabwe
1 Dr. Smartson. P. NYONI2 Mr. Thabani NYONI3 Mr. Tatenda. A. CHIHOHO
ZICHIRe Project, University of Zimbabwe, Harare, Zimbabwe
Alazab, M., et al. (2020).
COVID-19 Prediction and Detection Using Deep Learning, International Journal of Computer Information Systems and Industrial
Management Applications, 12: 168 – 181.
Butt, C., et al. (2020).
Deep Learning System to Screen Coronavirus Disease 2019 Pneumonia, Applied Intelligence, pp: 1 – 7.
Chen, N., et al. (2020).
Epidemiological and Clinical Characteristics of 99 Cases of 2019 Novel
Coronavirus Pneumonia in Wuhan, China: A Descriptive Study, Lancet, 395: 507 – 513.
Lei, Q., et al. (2020).
Prediction of Number of Cases of 2019 Novel Coronavirus (COVID-19) Using Social
Media Search Index, International Journal
of Environmental Research and Public Health, 17 (2365): 1 – 14.
McCloskey, B., et al.
(2020). Mass Gathering Events and Reducing Further Spread of COVID-19: A
Political and Public Health Dilemma, Lancet,
395: 1096 – 1099.
Medina-Mendieta, J. F., et al.
(2020). COVID-19 Forecasts for Cuba Using Logistic Regression and Gompertz
Curves, MEDICC, 22 (3): 32 – 39.
Remuzzi, A., & Remuzzi, G. (2020). COVID-19 and Italy: What Next? Lancet, pp: 1 – 13.
WHO (2020). Laboratory Testing for Coronavirus Disease 2019 (COVID-19)
in Suspected Human Cases: Interim Guidance, WHO,
Geneva.