论文标题
冠状病毒（Covid-19）：基于Arima的时间序列分析，以预测不久的将来
Coronavirus (COVID-19): ARIMA based time-series analysis to forecast near future
论文作者
论文摘要
Covid-19是一种新颖的冠状病毒，目前是全球范围内的主要威胁。它已感染了全球一百万人，导致数十万人死亡。在这种严重的情况下，预测未来受感染的病例以支持预防疾病并帮助医疗服务准备。遵循这一概念，我们开发了一个模型，然后采用了它来预测印度未来的Covid-19案件。该研究表明未来几天案件的上升趋势。时间序列分析还提出了案件数量的指数增加。据认为，目前的预测模型将帮助政府和医务人员为即将到来的条件做好准备，并在医疗保健系统中准备更多的准备。
COVID-19, a novel coronavirus, is currently a major worldwide threat. It has infected more than a million people globally leading to hundred-thousands of deaths. In such grave circumstances, it is very important to predict the future infected cases to support prevention of the disease and aid in the healthcare service preparation. Following that notion, we have developed a model and then employed it for forecasting future COVID-19 cases in India. The study indicates an ascending trend for the cases in the coming days. A time series analysis also presents an exponential increase in the number of cases. It is supposed that the present prediction models will assist the government and medical personnel to be prepared for the upcoming conditions and have more readiness in healthcare systems.
