About: Dynamics of the COVID-19 pandemic in India

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An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

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type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
title	Dynamics of the COVID-19 pandemic in India
Creator	Perc, Matjaž Khajanchi, Subhas Mondal, Jayanta Sarkar, Kankan
source	ArXiv
abstract	Understanding the dynamics of the COVID-19 pandemic is crucial for improved control and social distancing strategies. To that effect, we have employed the susceptible-exposed-infectious-recovered model, refined by contact tracing and hospitalization data from Indian provinces Kerala, Delhi, Maharashtra, and West Bengal, as well as from overall India. We have performed a sensitivity analysis to identify the most crucial input parameters, and we have calibrated the model to describe the data as best as possible. Short-term predictions reveal an increasing and worrying trend of COVID-19 cases for all four provinces and India as a whole, while long-term predictions also reveal the possibility of oscillatory dynamics. Our research thus leaves the option open that COVID-19 might become a seasonal occurrence. We also simulate and discuss the impact of media on the dynamics of the COVID-19 pandemic.
has issue date	2020-05-13(xsd:dateTime)
has license	arxiv
sha1sum (hex)	09902146fcf1e6db37b24e4b12b923fca4c83cfb
resource representing a document's title	Dynamics of the COVID-19 pandemic in India
resource representing a document's body	covid:09902146fcf1e6db37b24e4b12b923fca4c83cfb#body_text
is schema:about of	named entity 'Maharashtra' named entity 'COVID-19' named entity 'sensitivity analysis' named entity 'transmission coefficient' named entity 'asymptomatic' »more»

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