In this study, the ANN approach was applied to
analyze COVID-19 deaths in Algeria. The employed data covers the period 1
January 2020 - 20 April 2021 and the out-of-sample period ranges over the
period 21 April-31 August 2021. The residuals and forecast evaluation criteria
(Error, MSE and MAE) of the applied model indicate that the model is quite
stable. The results of the study indicate that daily COVID-19 deaths in Algeria
are likely to be around 4 deaths per day over the out-of-sample period.
Therefore there is need for the government of Algeria to ensure adherence to
safety guidelines while continuing to create awareness about the COVID-19
pandemic and roll out extensive COVID-19 vaccination in order to achieve herd
immunity.
Country : Zimbabwe
1 Dr. Smartson. P. NYONI2 Mr. Thabani NYONI3 Mr. Tatenda. A. CHIHOHO
ZICHIRe Project, University of Zimbabwe, Harare, Zimbabwe
Diego
Duarte and Julio Faerman (2020). Comparison of Time Series Prediction of
Healthcare Emergency Department Indicators with ARIMA and Prophet. In 9th
International Conference on Computer Science, Engineering and Applications
(ICCSEA 2019), pages 123–133. Aircc publishing Corporation, December 2019.
George EP
Box and David A (1970). Pierce. Distribution of residual autocorrelations in
autoregressive-integrated moving average time series models. Journal of the
American statistical Association, 65(332):1509–1526. Publisher: Taylor &
Francis Group.
Guan WJ.,
Ni ZY., Hu Y., Liang WH., Ou CQ., & He JX (2020). Clinical characteristics
of coronavirus disease 2019 in China. N Engl J Med 382(18):1708–1720. https://doi.org/10.1056/NEJMoa2002032
Muhammad
Adnan Shereen., Suliman Khan., AbeerKazmi., Nadia Bashir., and Rabeea Siddique
(2020). COVID-19 infection: origin, transmission, and characteristics of human
coronaviruses. Journal of Advanced Research. Publisher: Elsevier.
Sean J.
Taylor and Benjamin Letham (2018). Forecasting at scale. The American
Statistician, 72(1):37–45, 2018. Publisher: Taylor & Francis.
SeppHochreiter
and Jürgen Schmidhuber (1997). Long Short-Term Memory. Neural Computation,
9(8):1735–1780, November 1997.
Tang. B et
al (2020). An updated estimation of the
risk of transmission of the novel coronavirus (2019-nCoV). Infectious Disease
Modelling 5, 248–255.
Tang. B et
al (2020). Estimation of the transmission risk of the 2019-nCoV and its
implication for public health interventions. J. Clinical Med. 9, 462.
Wang D et
al (2020). Clinical characteristics of
138 hospitalized patients with 2019 novel coronavirus–infected pneumonia in
Wuhan, China. JAMA 323, 1061–1069.
Wang H et
al (2020). Phase-adjusted estimation of the number of coronavirus disease 2019
cases in Wuhan, China. Cell Discovery 6, 76.
Wang. W et
al (2020). Updated understanding of the outbreak of 2019 novel coronavirus
(2019-nCoV) in Wuhan, China. J. Med. Virology 92, 441–447
Who (2020).
Coronavirus disease (COVID-19) weekly epidemiological update and weekly
operational update. https://www.who.int/
emergencies/diseases/novel-coronavirus-2019/situation-reports
