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

被引:96
|
作者
Yousaf, Muhammad [1 ]
Zahir, Samiha [1 ]
Riaz, Muhammad [1 ]
Hussain, Sardar Muhammad [2 ]
Shah, Kamal [3 ]
机构
[1] Quaid I Azam Univ Islamabad, Dept Stat, Islamabad 45320, Pakistan
[2] Balochistan Univ Informat Technol Engn & Manageme, Dept Math Sci, Quetta 87300, Pakistan
[3] Univ Malakand, Dept Math, Chakdara Dir L, Kpk, Pakistan
关键词
COVID-19; Pandemic; Confirmed Cases; Deaths; Recoveries; Forecast; ARIMA;
D O I
10.1016/j.chaos.2020.109926
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
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. (C) 2020 Elsevier Ltd. All rights reserved.
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页数:4
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