Forecasting of COVID-19 in India Using ARIMA Model

被引：0

作者：

Darapaneni, Narayana ^{[1
,2
]}

Reddy, Deepak ^{[3
]}

Paduri, Anwesh Reddy ^{[4
]}

Acharya, Pooja ^{[3
]}

Nithin, H. S. ^{[3
]}

机构：

[1] Great Learning, AIML, New Delhi, India

[2] Northwestern Univ, Evanston, IL 60208 USA

[3] Great Learning, AIML, Bangalore, Karnataka, India

[4] Great Learning, AIML, Mumbai, Maharashtra, India

来源：

2020 11TH IEEE ANNUAL UBIQUITOUS COMPUTING, ELECTRONICS & MOBILE COMMUNICATION CONFERENCE (UEMCON) | 2020年

关键词：

COVID-19; Forecasting; lockdown; Time Series modelling; ARIMA;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The recent outbreak of COVID-19 in different states of India has major concerns for all administrative departments of the government and general public. The Pandemic has been tested positive in 1287945 individuals with 817209 recovered and 30601 succumbed to the disease. The first case of the novel coronavirus was detected in India on 30 January 2020. There was a lockdown imposed by the Government of India from 24 March 2020 and ended on 31 May 2020. A forecast in no lockdown scenario would help us to track the further progress of the disease and make sufficient data available in order to plan the future of hospital facilities, pharmaceutical investment etc.

引用

页码：894 / 899

页数：6

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