Department of Management Sciences, COMSATS University Islamabad, Park Road, Chak Shehzad, Islamabad, Pakistan.
Department of Radiology, Shifa International Hospital, Sector H-8, Islamabad, Pakistan.
J Infect Dev Ctries. 2021 Mar 31;15(3):382-388. doi: 10.3855/jidc.13419.
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.
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.
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.
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.
全球 COVID-19 大流行起源于中国武汉市,并逐渐蔓延到世界各个角落。它对发达国家和发展中国家的经济都造成了不利影响,该次疫情对人口最多的亚洲次大陆造成了严重影响。越来越多的人受到病毒的影响,每天的病例都在不断增加。
本研究采用 R 包“forecast”中的自动 ARIMA 模型,对从 2020 年 7 月 1 日开始至 2020 年 7 月 14 日结束的未来 14 天内新增病例数进行预测。利用 COVID-19 确诊病例的 107 个日观测值,预测病例数以帮助该地区的政府做出相应计划,这似乎是一个重要的关注点。
该研究结果表明,应用于样本的 ARIMA 模型合理地预测了未来 14 天该次疫情在次大陆的确诊病例数。在未来 14 天内,巴基斯坦的病例呈上升趋势,印度的病例数保持不变,孟加拉国的病例数保持不变。
就病例增长率而言,巴基斯坦位居首位,其次是印度。因此,政府需要制定足够的政策来遏制病毒的传播。