Prediction of COVID-19 Confirmed Cases in Indo-Pak Sub-Continent
Bangladesh
Models, Statistical
Time Factors
COVID-19
India
3. Good health
03 medical and health sciences
0302 clinical medicine
Humans
Pakistan
Cities
COVID-19 ; India ; Pakistan ; Bangladesh ; Prediction ; Coronavirus
Forecasting
DOI:
10.3855/jidc.13419
Publication Date:
2021-04-09T17:51:37Z
AUTHORS (5)
ABSTRACT
Introduction: The global COVID-19 pandemic originated from the Chinese city of Wuhan and gradually reached every end of the world. It has adversely affected economies of developed as well as underdeveloped countries, the subcontinent has been hit badly by the negative consequences of deadliest coronavirus. People are getting affected by the virus in large numbers and cases in growing on daily bases.
Methodology: The present study employs Automatic ARIMA through R package “forecast”, to predict the growing number of cases for upcoming 14 days starting on 1st July 2020 and ending on 14 July 2020. Using 107 daily observations of the confirmed cases of COVID-19, it seems an important concern to predict the cases to help governments of the region plan accordingly.
Results: The outcomes of the study indicate that ARIMA applied on the sample rationally predicts the confirmed cases of coronavirus for next 14 days in the subcontinent. An increased trend is observed for Pakistan and India with constant cases for Bangladesh in the coming 14 days.
Conclusions: Pakistan is having the highest predicted growth rate in terms of cases followed by India. Therefore, the governments need to build adequate policies in order to contain the spread of the virus.
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