ISSN: 0973-7510

E-ISSN: 2581-690X

Review Article | Open Access

Parth Goel1 , Dweepna Garg2 and Amit Ganatra2

1Computer Science and Engineering Department, Devang Patel Institute of Advance Technology and Research (DEPSTAR), Charotar University of Science and Technology (CHARUSAT), Changa, Anand – 388 421, India.
2Computer Engineering Department, Devang Patel Institute of Advance Technology and Research (DEPSTAR), Charotar University of Science and Technology (CHARUSAT), Changa, Anand – 388 421, India.
J Pure Appl Microbiol. 2020;14(suppl 1):903-910 | Article Number: 6229
Received: 18/04/2020 | Accepted: 29/04/2020 | Published: 01/05/2020
Abstract

COVID-19 is one of the very contagious diseases from the family Coronaviridae and spreading at a faster rate in the community. In December 2019, the first case of COVID-19 was reported in Wuhan, China. An epidemic outbreak of COVID-19 was seen in India from March 2020. Epidemiological data of COVID-19 cases of the world and India have been analyzed in our study. We have utilized publicly available two databases from data repository by Johns Hopkins CSSE and covid19india.org. COVID-19 cases and case fatality rate (CFR) of the world have been summarized and compared with India from January 22, 2020 to April 15, 2020. Indian cases were analyzed among states of India and also compared with age and gender by performing statistical approaches such as central tendency, standard deviation and interquartile range. By April 15, 2020, Indian has reported 12,322 confirmed cases, 1,498 recovered cases and 405 death cases of COVID-19. In spite of India being a diverse country with the second-highest population, the deadly side of COVID-19 was comparatively far less as compared to the other countries. India has taken preemptive measures at an early stage to prevent transmission of COVID-19 outbreak and it is reviewed from our study by comparing India with other countries. Our study also summarizes that age also plays a vital role in the intervention of COVID-19 cases.

Keywords

Coronavirus, COVID-19, Epidemic, Pandemic, India, Statistical analysis

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