About: Size and timescale of epidemics in the SIR framework

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About: Size and timescale of epidemics in the SIR framework Goto Sponge NotDistinct Permalink

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

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Size and timescale of epidemics in the SIR framework
Creator	Gaeta, Giuseppe Cadoni, Mariano
Source	ArXiv; Elsevier; Medline; PMC
abstract	The most important features to assess the severity of an epidemic are its size and its timescale. We discuss these features in a systematic way in the context of SIR and SIR-type models. We investigate in detail how the size and timescale of the epidemic can be changed by acting on the parameters characterizing the model. Using these results and having as guideline the COVID-19 epidemic in Italy, we compare the efficiency of different containment strategies for contrasting an epidemic diffusion such as social distancing, lockdown, tracing, early detection and isolation.
has issue date	2020-06-20(xsd:dateTime)
bibo:doi	10.1016/j.physd.2020.132626
bibo:pmid	32834247
has license	no-cc
sha1sum (hex)	fb31c68dd599b62749352cd549729723140ece79
schema:url	https://doi.org/10.1016/j.physd.2020.132626
resource representing a document's title	Size and timescale of epidemics in the SIR framework
has PubMed Central identifier	PMC7305940
has PubMed identifier	32834247
schema:publication	Physica D
resource representing a document's body	covid:fb31c68dd599b62749352cd549729723140ece79#body_text
is schema:about of	named entity 'COVID-19' named entity 'contrasting' named entity 'CONTEXT' named entity 'FEATURES' named entity 'SOCIAL DISTANCING' named entity 'SEVERITY' named entity 'Brescia' named entity 'epidemic' named entity 'epidemic' named entity 'cruise ship' named entity 'change over time' named entity 'epidemic' named entity 'epidemic' named entity 'epidemic' named entity 'social distancing' named entity 'epidemic' named entity 'home confinement' named entity 'Guerrero' named entity 'epidemic' named entity 'epidemic' named entity 'SIR model' named entity 'SEIR' named entity 'epidemic' named entity 'epidemic' named entity 'epidemic' named entity 'Veneto' named entity 'SIR model' named entity 'epidemic' named entity 'epidemic' named entity 'tracing' named entity 'SIR model' named entity 'social distancing' named entity 'epidemic' named entity 'epidemic' named entity 'Italy' named entity 'epidemic' named entity 'epidemic' named entity 'epidemic' named entity 'epidemic' named entity 'epidemic' named entity 'social distancing' named entity 'epidemiological data' named entity 'total death' named entity 'epidemic' named entity 'individual mobility' named entity 'diffusion' named entity 'social distancing' named entity 'epidemic' named entity 'SIR model' named entity 'social distancing' named entity 'social distancing' named entity 'Section II' named entity 'SIR model' named entity 'contact tracing' named entity 'death rate' named entity 'epidemic' named entity 'epidemiological data' named entity 'SIR model' named entity 'epidemic' named entity 'Bergamo' named entity 'epidemic' named entity 'Wuhan' named entity 'SIR model' named entity 'epidemic' named entity 'March 8' named entity 'basic reproduction number' named entity 'pathogen' named entity 'virus transmission' named entity 'epidemic' named entity 'epidemiological data' named entity 'epidemic' named entity 'numerical integration' named entity 'SIR model' named entity 'epidemic' named entity 'SIR model' named entity 'SIR model' named entity 'Veneto' named entity 'epidemic' named entity 'epidemic' named entity 'epidemic'

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