About: Model of a Testing-and-Quarantine Strategy to Slow-Down the COVID-19 Outbreak in Guadeloupe

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

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Model of a Testing-and-Quarantine Strategy to Slow-Down the COVID-19 Outbreak in Guadeloupe
Creator	Allali, Meriem Carlès, Michel Gibert, Dominique Portecop, Patrick
Source	MedRxiv
abstract	Using a stochastic epidemic model explicitly considering the entire population of Guadeloupe (1), we explore the domain of solutions presenting an efficient slowing down of the COVID-19 epidemic spread during the post-containment period. The considered model parameters are the basic reproduction number R0 to simulate the effects of social distancing, the time delay {delta}TQ elapsed between the detection of a symptomatic person and her/his placement in quarantine to suppress her/his contagiousness, and the number Na of asymptomatic people tested positively and isolated. We show that acceptable solutions are obtained for a wide range of parameter values. Thanks to a good control of the initial epidemic spread resulting from an early containment and efficient communication by the sanitary and administrative authorities, the present situation corresponds to a pre-epidemic state. The most safe solutions are a combinations of social distancing, numerous testing to perform a systematic isolation of symptomatic patients and guided detection of asymptomatic people in the entourage of localised symptomatic patients.
has issue date	2020-05-06(xsd:dateTime)
bibo:doi	10.1101/2020.05.01.20088138
has license	medrxiv
sha1sum (hex)	2cd9afcfe0007e3d1cfb45522cdca174df0a71ba
schema:url	https://doi.org/10.1101/2020.05.01.20088138
resource representing a document's title	Model of a Testing-and-Quarantine Strategy to Slow-Down the COVID-19 Outbreak in Guadeloupe
resource representing a document's body	covid:2cd9afcfe0007e3d1cfb45522cdca174df0a71ba#body_text
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