Covid-19 Data Analysis of India and Future Forecasting Using FbProphet

Biswarup Biswas, Subhra Debdas, Subhankar Samanta, Srijita Chakraborty, Anuridhi Chhangani, Sarbani Mohanty
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Abstract

COVID-19, the pandemic has created a fearsome sensation the entire world. Although in India, many articles of research had examined the spread of this deadly disease, but the population of our country makes it more important to have a closer look at the present scenario of the individual states. The whole world is facing this pandemic for the past 15 months since December 2019, the month when the very first case of covid-19was discovered in China from where it got spread throughout the globe. In January 2020, the first case of covid-19 in India was witnessed. For this very scenario in this paper, we have analyzed and crafted different sections for treatment methodologies and safety measures undertaken, detailed analysis of various States and Union Territories during the outbreak of Covis-19, count on the number of people infected, cured, and died along with the prediction of the upcoming situation of covid-19 in future months. Moreover several time series models had been studied among which FbProphet model fits best to our purpose of study.
印度Covid-19数据分析及使用FbProphet进行未来预测
COVID-19大流行在全世界引起了可怕的轰动。虽然在印度,许多研究文章审查了这一致命疾病的传播,但我国的人口使得更有必要仔细研究各个邦的现状。自2019年12月在中国发现第一例covid-19病例并传播到全球以来,过去的15个月里,全世界都面临着这场大流行。2020年1月,印度出现了第一例covid-19病例。对于本文中的这种情况,我们分析和编写了不同章节的治疗方法和采取的安全措施,详细分析了covid-19爆发期间各州和联邦领土的情况,计算了感染,治愈和死亡的人数,并预测了未来几个月即将到来的covid-19情况。此外,还研究了几种时间序列模型,其中FbProphet模型最适合我们的研究目的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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