About: Autocatalytic Model for Covid-19 Progression in a Country

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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	Autocatalytic Model for Covid-19 Progression in a Country
Creator	Chernyshev, Anatoly
source	MedRxiv
abstract	Herewith we present a computational model for the forecasting of cumulative diagnosed cases of Covid-19 pneumonia within a country. The only explicit parameter of the model is the population density. The implicit parameter is a moving average ambient temperature, currently integrated into the kinetic constants. Other finer details pertaining to the mechanism of the pathogen SARS-CoV-2 spread within a given region are implicitly manifested in the exponent parameters derived from the non-linear fitting of the published data on Covid-19 occurrence. The performance of the model is demonstrated on a few selected countries, and on the Diamond Princess cruising ship outbreak. The model might be used as an aiding tool for the policy makers regarding the decisions on the containment measures and quarantine regime required.
has issue date	2020-04-07(xsd:dateTime)
bibo:doi	10.1101/2020.04.03.20052985
has license	medrxiv
sha1sum (hex)	052bf4fb7deaf593862991af3b118b5f11a9fbe1
schema:url	https://doi.org/10.1101/2020.04.03.20052985
resource representing a document's title	Autocatalytic Model for Covid-19 Progression in a Country
resource representing a document's body	covid:052bf4fb7deaf593862991af3b118b5f11a9fbe1#body_text
is schema:about of	named entity 'containment' named entity 'data' named entity 'The' named entity 'Covid-19' named entity 'selected' »more»

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