About: Mathematical estimation of COVID-19 prevalence in Latin America

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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
title	Mathematical estimation of COVID-19 prevalence in Latin America
Creator	Gude, Francisco Leborán, Víctor Matabuena, Marcos Meijide-García, Carlos Rodríguez-Mier, Pablo
topic	covid:1910bc4e507f981c2971367478d15a9574b984ca#this
source	MedRxiv
abstract	After the rapid spread with severe consequences in Europe and China, the SARS-CoV-2 virus is now manifesting itself in more vulnerable countries, including those in Latin America. In order to guide political decision-making via epidemiological criteria, it is crucial to assess the real impact of the epidemic. However, the use of large-scale population testing is unrealistic or not feasible in some countries. Based on a newly developed mathematical model, we estimated the seroprevalence of SARS-CoV-2 in Latin American countries. The results show that the virus spreads unevenly across countries. For example, Ecuador and Brazil are the most affected countries, with approximately 3% of the infected population. Currently, the number of new infections is increasing in all countries examined, with the exception of some Caribbean countries as Cuba. Moreover, in these countries, the peak of newly infected patients has not yet been reached.
has issue date	2020-06-11(xsd:dateTime)
bibo:doi	10.1101/2020.06.09.20126326
has license	medrxiv
sha1sum (hex)	1910bc4e507f981c2971367478d15a9574b984ca
schema:url	https://doi.org/10.1101/2020.06.09.20126326
resource representing a document's title	Mathematical estimation of COVID-19 prevalence in Latin America
resource representing a document's body	covid:1910bc4e507f981c2971367478d15a9574b984ca#body_text
is http://vocab.deri.ie/void#inDataset of	proxy:http/ns.inria.fr/covid19/1910bc4e507f981c2971367478d15a9574b984ca
is schema:about of	named entity 'epidemiological' named entity 'virus' named entity 'Mathematical' named entity 'DECISION-MAKING' named entity 'SCALE' »more»

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