Statistical analysis of forecasting COVID-19 for upcoming month in Pakistan

Yousaf, Muhammad, Zahir, Samiha, Riaz, Muhammad ORCID: https://orcid.org/0000-0002-5512-1745, Hussain, Sardar Muhammad and Shah, Kamal 2020. Statistical analysis of forecasting COVID-19 for upcoming month in Pakistan. Chaos, Solitons and Fractals 138 , 109926. 10.1016/j.chaos.2020.109926

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Abstract

In this paper, we have conducted analysis based on data obtained from National Institute of Health (NIH) - Islamabad and produced a forecast of COVID-19 confirmed cases as well as the number of deaths and recoveries in Pakistan using the Auto-Regressive Integrated Moving Average Model (ARIMA). The fitted forecasting models revealed high exponential growth in the number of confirmed cases, deaths and recoveries in Pakistan. Based on our model prediction the number of confirmed cases will be increased by 2.7 times, 95% prediction interval for the number of cases at the end of May 2020 = (5681 to 33079). There could be up to 500 deaths, 95% prediction interval = (168 to 885) and there could be eightfold increase in the number of recoveries, 95% prediction interval = (2391 to 16126). The forecasting results of COVID-19 are alarming for May in Pakistan. The health officials and government should adopt new strategies to control the pandemic from further spread until a proper treatment or vaccine is developed.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Medicine
Publisher:	Elsevier
ISSN:	0960-0779
Date of Acceptance:	20 May 2020
Last Modified:	10 Nov 2022 10:11
URI:	https://orca.cardiff.ac.uk/id/eprint/145931

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