Abstract:
This paper analyzes the reported COVID-19 cases in some largely affected countries around the world and
accurately predicts the future values of new, death, recovery, and active COVID-19 cases for effective
decision making. The objective is to provide scientific insights for decision makers in these countries to avoid
higher levels of severity and large waves of infections. The data for this study were obtained from COVID-
19 stylized facts, extracted from the well-known worlddometer website and verified against the WHO’s
COVID-19 Dashboard, Johns Hopkins University’s COVID-19 Dashboard, and CDC from mid of February
2020 – Early April 2020. The data covered the highest five affected countries, namely, Brazil, India, Russia,
South Africa, and the USA. The data were analyzed using time series forecasting model and presented
pictorially in graphs bar charts and pie charts. Based on the outcome of the analyzed data, it was concluded
that the predicted COVID-19 cases will reach the peak at the end of September 2020 and if the outbreak is
not controlled, the studied countries may face inflated numbers and severe shortage of medical facilities that
may worsen the outbreak. The paper concludes by few important recommendations about comprehensive and
necessary actions that the government and other policymakers of these countries should take in order to
control spread of the virus.