Department of Statistics, Virtual University of Pakistan, Lahore, Pakistan.
Department of Statistics, Government College University, Lahore, Pakistan.
Pak J Pharm Sci. 2022 Jan;35(1):141-149.
Coronavirus disease (COVID-19) pandemic has recently become a global health crisis. On the basis of this study the data reported from ten different countries on confirmed daily deaths caused by COVID-19. By fitting the linear regression models based on the data from ten countries to find the relationship between the new cases and deaths reported daily. We also used the autoregressive integrated moving average model (ARIMA) to predict the potential number of daily deaths caused by COVID-19 in these countries in the next 3 Months. The R value obtained for Iran (0.24) implies that 24% of daily deaths correspond to the daily cases. The R2of Pakistan 0.662 which indicates that 66.2% of daily deaths are explained by our predictor variable. In Turkey 70.2% of daily deaths are explained by daily cases and India recorded the highest number of deaths while UAE had the lowest number of deaths. Our results suggest that the pandemic is under control in China, UAE and Australia. Pakistan, Iran, Germany and Italy however, showed an upward trend in the spread of the disease, which may correlate with a high increase in death rate as the data indicated.
冠状病毒病(COVID-19)大流行最近已成为全球卫生危机。基于这项研究,报告了来自十个不同国家的 COVID-19 每日确诊死亡人数的数据。通过拟合基于十个国家数据的线性回归模型,找到每日报告的新病例和死亡人数之间的关系。我们还使用自回归综合移动平均模型(ARIMA)来预测这些国家未来 3 个月 COVID-19 每日死亡人数的潜在数量。伊朗获得的 R 值(0.24)意味着每日死亡人数中有 24%与每日病例数相对应。巴基斯坦的 R2为 0.662,这表明我们的预测变量可以解释 66.2%的每日死亡人数。在土耳其,70.2%的每日死亡人数可以由每日病例数解释,印度记录的死亡人数最多,而阿联酋的死亡人数最少。我们的研究结果表明,中国、阿联酋和澳大利亚的大流行已得到控制。然而,巴基斯坦、伊朗、德国和意大利的疾病传播呈上升趋势,这可能与数据显示的死亡率的高增长有关。