Predictive COVID Analysis

Author:

Pooja Kapse 1,Akshay Bramhankar 1,Piyush Timande 1,Sanskruti Rewatkar 1

Affiliation:

1. Karmaveer Dadasaheb Kannamwar Engineering College, Nagpur, Maharashtra, India

Abstract

In this paper, we've got were given analysed the COVID-19 development in India and the 3 maximum affected Indian states as of 29-Aug-20 and advanced a prediction version to forecast the behaviour of COVID-19 unfold withinside the destiny months. We used time collection data for India and implemented the Susceptible Infective-Removed (SIR) version and the FbProphet version to anticipate the height infectives and top infective date for India and the 3 maximum affected states. In this paper, we further done the comparative evaluation of the prediction results from SIR and FbProphet models. From this study, we concluded that with the idea that an entire five% of India's populace is probably inflamed via the pandemic, the country wide unfold is forecasted to benefit its top via the end of Nov-20. And until the time there can be no vaccination, for the states which have already reached their top and with festivals in the course of the corner, there are excessive opportunities of resurgence in the kind of instances if the social distancing and unique control measures aren't observed diligently withinside the imminent months. [15] People over the age of sixty five are much more likely to revel in extreme symptoms. Some individuals For months following recuperation, you'll be managing an entire lot of aspect effects (extended COVID), further to harm.

Publisher

Naksh Solutions

Subject

General Medicine

Reference33 articles.

1. BBC News, “Coronavirus confirmed as pandemic by World Health Organization,” BBC, 11-Mar-2020.

2. Wikipedia contributors, “Coronavirus disease 2019,” Wikipedia, The Free Encyclopedia, 06-Nov-2020. [Online]. Available: https://en.wikipedia.org/w/index.php?title=Coronavirus_disease_2019&oldid=987294 572. [Accessed: 06-Nov-2020].

3. “MoHFW,” Gov.in. [Online]. Available: https://www.mohfw.gov.in. [Accessed: 06-Nov-2020].

4. B. Malhotra and V. Kashyap, “Progression of COVID-19 in Indian states - forecasting endpoints using SIR and Logistic Growth models,” bioRxiv, p. 2020.05.15.20103028, 2020.

5. Y. Liu, A. A. Gayle, A. Wilder-Smith, and J. Rocklöv, “The reproductive number of COVID-19 is higher compared to SARS coronavirus,” J. Travel Med., vol. 27, no. 2, 2020.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3