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An Autoregressive Integrated Moving Average model is a set of statistical models for forecasting time series data. Briefly, Auto regression uses the dependent relationship between an observation and lagged observations; integrated uses of differencing of raw observations; and Moving Average uses the dependency between an observation and a residual error.

The ARIMA (2, 2, 2) forecasted the number of confirmed cases of COVID-19, based on the time between March 2020 and October 2020 at 95% confidence interval. The result of daily report peaked in April 2020 in the country and slightly decreased after April 2020, evidenced by the challenged responses that invested in controlling the pandemic in the country. The maximum, predicted new case per day was 672 and the minimum predicted was 386 cases per day till half of December 2020. Furthermore, the total number of predicted confirmed cases of COVID-19 might reach around 119, 015 until half December 2020.

In general, if the government of Ethiopia ceased controlling mechanisms of COVID-19, then the pandemic may relapse again and affects the country more. Hence, this study suggested that proactive stepladder implements control mechanisms. Thus, all the concerned organizations can develop policies based on the result of the study.

COVID-19 trend, COVID-19 new case forecast, ARIMA model, corona virus, pandemic.

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How to Cite
ETICHA, A. B. (2021). FORECAST OF CORONA VIRUS DISEASE (COVID–19) IN ETHIOPIA BASED ON CONFIRMED CASES UP TO 14TH OCTOBER 2020. Asian Journal of Advances in Medical Science, 2(4), 1-8. Retrieved from
Original Research Article


Mann R, Perisetti A, Gajendran M, Gandhi Z, Umapathy C, Goyal H. Clinical characteristics, diagnosis, and treatment of major coronavirus outbreaks. Frontiers in Medicine. 2020;7.

Vasilis Papastefanopoulos, Pantelis Linardatos, Sotiris Kotsiantis. COVID-19: A comparison of time series methods to forecast percentage of active cases per population. Applied sciences; 2020.

Lu H, Stratton CW, Tang YW. Outbreak of pneumonia of unknown etiology in Wuhan China: The mystery and the miracle. J. Med Virol. 2020;92:401–402. [CrossRef]

J. CSSE. Corona virus COVID-19 Global Cases by the Center for Systems Science and Engineering (CSSE) at Johns Hopkins University (JHU); 2020. Available: (Accessed on 13 October 2020)

World Health Organization: Worldometer/ Ethiopia Corona Virus, WHO; 2020.

Birhanu Ayenew, Meseret Yitayew, Digvijay Pandey. Challenges and opportunities to tackle COVID-19 spread in Ethiopia. Peer Scientist. 2020;2(2):e1000014.

Lema Abate, Alemu Bekele, Birhanu Bedada. Status of distribution of coronavirus disease (COVID-19) in Ethiopia within first three months. AJRSP. 2020;2(15):156-166.

Jiaming Na, Haileleol Tibebu, Varuna De Silva, Ahmet Kondoz, Michael Caine. Probabilistic approximation of effective reproduction number of COVID-19 using daily death statistics. Chaos, Solitons and Fractals. 2020;140:110181.

Takele R. Stochastic modelling for predicting COVID-19 prevalence in East Africa Countries. Infectious Disease Modelling. 2020;5:598-607.

Hiteshi Tandon, Prabhat Ranjan, Tanmoy Chakraborty, Vandana Suhag. Coronavirus (COVID-19): ARIMA based time-series analysis to forecast near future; 2020.

Das RC. Forecasting incidences of COVID-19 using Box-Jenkins method for the period July 12-Septembert 11, 2020: A study on highly affected countries. Chaos, Solitons and Fractals. 2020;140:10248.

Farhan Mohammad Khana, Rajiv Gupta. ARIMA and NAR based prediction model for time series analysis of COVID-19 cases in India. Journal of Safety Science and Resilience. 2020;1:12-18.

Zeynep C. Estimation of COVID-19 prevalence in Italy, Spain, and France Samsun University, Turkey: Faculty of Engineering, Industrial Engineering; 2020.