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Modeling tempo of Covid ‐19 pandemic in India and significance of lockdown

Bibliographic Data

ID12706437
AuthorsBrijesh Singh (0000-0002-2429-4758, Department of Statistics, Institute of Science Banaras Hindu University Varanasi India, corresponding author), Gunjan Singh (0009-0000-2202-2276, Department of Statistics, Amity School of Applied Sciences Amity University Lucknow India)
Year2020
Publication date2020-08-04
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueJournal of Public Affairs (JOURNAL)
Journal identifiersISSN: 1472-3891 • E-ISSN: 1479-1854
PublisherWiley (PUBLISHER • GB)
DOI10.1002/pa.2257
OpenAlexW3046475967
LanguageEN
Citations received2
References cited13

A very special type of pneumonic disease that generated the COVID-19 pandemic was first identified in Wuhan, China in December 2019 and is spreading all over the world. The ongoing outbreak presents a challenge for data scientists to model COVID-19, when the epidemiological characteristics of the COVID-19 are yet to be fully explained. The uncertainty around the COVID-19 with no vaccine and effective medicine available until today create additional pressure on the epidemiologists and policy makers. In such a crucial situation, it is very important to predict infected cases to support prevention of the disease and aid in the preparation of healthcare service. In this paper, we have tried to understand the spreading capability of COVID-19 in India taking into account of the lockdown period. The numbers of confirmed cases are increased in India and states in the past few weeks. A differential equation based simple model has been used to understand the pattern of COVID-19 in India and some states. Our findings suggest that the physical distancing and lockdown strategies implemented in India are successfully reducing the spread and that the tempo of pandemic growth has slowed in recent days

2019-20 coronavirus outbreak · China · Coronavirus disease 2019 (COVID-19 · Development economics · Disease · Economic growth · Economics · Environmental health · Epidemic model · Infectious disease (medical specialty · Outbreak · Pandemic · Pathology · Political science · Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2 · Social distance · COVID-19 Clinical Research Studies · COVID-19 epidemiological studies · COVID-19 Pandemic Impacts · Law · Medicine · Virology

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Unique citing works2
Citations per year0.33
Citation span2020 - 2021 (2)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 2

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