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. 2022 Feb;4(1):6-10.
doi: 10.1016/j.bsheal.2021.12.003. Epub 2021 Dec 25.

Forecasting COVID-19 situation in Bangladesh

Affiliations

Forecasting COVID-19 situation in Bangladesh

Mossamet Kamrun Nesa et al. Biosaf Health. 2022 Feb.

Abstract

Forecasting the COVID-19 confirmed cases, deaths, and recoveries demands time to know the severity of the novel coronavirus. This research aims to predict all types of COVID-19 cases (verified people, deaths, and recoveries) from the deadliest 3rd wave data of the COVID-19 pandemic in Bangladesh. We used the official website of the Directorate General of Health Services as our data source. To identify and predict the upcoming trends of the COVID-19 situation of Bangladesh, we fit the Auto-Regressive Integrated Moving Average (ARIMA) model on the data from Mar. 01, 2021 to Jul. 31, 2021. The finding of the ARIMA model (forecast model) reveals that infected, deaths, and recoveries number will have experienced exponential growth in Bangladesh to October 2021. Our model reports that confirmed cases and deaths will escalate by four times, and the recoveries will improve by five times at a later point in October 2021 if the trend of the three scenarios of COVID-19 from March to July lasts. The prediction of the COVID-19 scenario for the next three months is very frightening in Bangladesh, so the strategic planner and field-level personnel need to search for suitable policies and strategies and adopt these for controlling the mass transmission of the virus.

Keywords: ARIMA model; COVID-19; Confirmed cases; Deaths; Forecast; Recoveries.

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Conflict of interest statement

The authors declare that there are no conflicts of interest.

Figures

Fig. 1
Fig. 1
Daily and cumulative confirmed cases of COVID-19 in Bangladesh from March to July 2021.
Fig. 2
Fig. 2
Daily and cumulative deaths of COVID-19 in Bangladesh from March to July 2021.
Fig. 3
Fig. 3
Daily and cumulative recoveries of COVID-19 in Bangladesh from March to July 2021.
Fig. 4
Fig. 4
Forecasting results of confirmed cases up to Oct. 31, 2021 (Black line: actual data; Blue line: three months forecast; Dark Gray zone: 80% CI; Light Gray zone: 95% CI; CI: confidence interval).
Fig. 5
Fig. 5
Forecasting results of deaths up to Oct. 31, 2021 (Black line: actual data; Blue line: three months forecast; Dark Gray zone: 80% CI; Light Gray zone: 95% CI).
Fig. 6
Fig. 6
Forecasting results of recoveries up to Oct. 31, 2021 (Black line: actual data; Blue line: three months forecast; Dark Gray zone: 80% CI; Light Gray zone: 95% CI).

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