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.

在本文中，我们基于从国立卫生研究院（NIH）-伊斯兰堡获得的数据进行了分析，并使用自动回归综合移动技术对巴基斯坦的COVID-19确诊病例以及死亡人数和恢复数进行了预测平均模型（ARIMA）。拟合的预测模型显示，巴基斯坦确诊病例，死亡人数和康复人数呈指数级增长。根据我们的模型预测，确诊病例的数量将增加2.7倍，对于2020年5月底，病例数量的95％预测间隔=（5681至33079）。可能有多达500例死亡，95％的预测间隔=（168到885），回收率可能增加了八倍，95％的预测间隔=（2391至16126）。巴基斯坦5月份COVID-19的预报结果令人震惊。