About: Effect of the early use of antivirals on the COVID-19 pandemic. A computational network modeling approach

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About: Effect of the early use of antivirals on the COVID-19 pandemic. A computational network modeling approach Goto Sponge NotDistinct Permalink

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	Effect of the early use of antivirals on the COVID-19 pandemic. A computational network modeling approach
Creator	Benlloch, José-María Cortés, Juan-Carlos Martínez-Rodríguez, David Julián, Raul-S Villanueva, Rafael-J
Source	Elsevier; Medline; PMC
abstract	It seems that we are far from controlling COVID-19 pandemics, and, consequently, returning to a fully normal life. Until an effective vaccine is found, safety measures as the use of face masks, social distancing, washing hands regularly, etc., have to be taken. Also, the use of appropriate antivirals in order to alleviate the symptoms, to control the severity of the illness and to prevent the transmission, could be a good option that we study in this work. In this paper, we propose a computational random network model to study the transmission dynamics of COVID-19 in Spain. Once the model has been calibrated and validated, we use it to simulate several scenarios where effective antivirals are available. The results show how the early use of antivirals may significantly reduce the incidence of COVID-19 and may avoid a new collapse of the health system.
has issue date	2020-08-18(xsd:dateTime)
bibo:doi	10.1016/j.chaos.2020.110168
bibo:pmid	32836917
has license	no-cc
sha1sum (hex)	ede278b15e779da6d2026894b6410dd956480978
schema:url	https://doi.org/10.1016/j.chaos.2020.110168
resource representing a document's title	Effect of the early use of antivirals on the COVID-19 pandemic. A computational network modeling approach
has PubMed Central identifier	PMC7434368
has PubMed identifier	32836917
schema:publication	Chaos Solitons Fractals
resource representing a document's body	covid:ede278b15e779da6d2026894b6410dd956480978#body_text
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