About: A multi-group SEIRA model for the spread of COVID-19 among heterogeneous populations

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About: A multi-group SEIRA model for the spread of COVID-19 among heterogeneous populations 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	A multi-group SEIRA model for the spread of COVID-19 among heterogeneous populations
Creator	Andrés Villavicencio, H Biron-Lattes, Juan Contreras, Sebastián Medina-Ortiz, David Olivera-Nappa, Álvaro
topic	covid:35908ee476f9b20d8e21458f4882c9fa448ea6fd#this
Source	ArXiv; Elsevier; Medline; PMC
abstract	The outbreak and propagation of COVID-19 have posed a considerable challenge to modern society. In particular, the different restrictive actions taken by governments to prevent the spread of the virus have changed the way humans interact and conceive interaction. Due to geographical, behavioral, or economic factors, different sub-groups among a population are more (or less) likely to interact, and thus to spread/acquire the virus. In this work, we present a general multi-group SEIRA model for representing the spread of COVID-19 among a heterogeneous population and test it in a numerical case of study. By highlighting its applicability and the ease with which its general formulation can be adapted to particular studies, we expect our model to lead us to a better understanding of the evolution of this pandemic and to better public-health policies to control it.
has issue date	2020-05-25(xsd:dateTime)
bibo:doi	10.1016/j.chaos.2020.109925
bibo:pmid	32501373
has license	no-cc
sha1sum (hex)	35908ee476f9b20d8e21458f4882c9fa448ea6fd
schema:url	https://doi.org/10.1016/j.chaos.2020.109925
resource representing a document's title	A multi-group SEIRA model for the spread of COVID-19 among heterogeneous populations
has PubMed Central identifier	PMC7247502
has PubMed identifier	32501373
schema:publication	Chaos Solitons Fractals
resource representing a document's body	covid:35908ee476f9b20d8e21458f4882c9fa448ea6fd#body_text
is http://vocab.deri.ie/void#inDataset of	https://covidontheweb.inria.fr:4443/about/id/http/ns.inria.fr/covid19/35908ee476f9b20d8e21458f4882c9fa448ea6fd
is schema:about of	named entity 'COVID-19' named entity 'TAKEN' named entity 'TO PREVENT' named entity 'POPULATION' named entity 'PARTICULAR' named entity 'HAVE' named entity 'MODEL' named entity 'SOCIETY' named entity 'GROUPS' named entity 'ACTIONS' named entity 'SEIR' named entity 'public health' named entity 'COVID-19' named entity 'human interaction' named entity 'infection' named entity 'COVID-19' named entity 'outbreak' named entity 'COVID-19' named entity 'virus' named entity 'prevent the spread' named entity 'COVID-19' named entity 'endemic equilibrium' named entity 'SARS-CoV2' named entity 'incubation period' named entity 'SEIR' named entity 'evolution' named entity 'evolution' named entity '5.2' named entity 'social inequality' named entity 'life quality' named entity 'infection' named entity 'COVID' named entity 'social interaction' named entity 'general idea' named entity 'infection' named entity 'human society' named entity 'SEIR' named entity 'SEIR' named entity 'viral load' named entity 'Asymptomatic' named entity 'decision-making' named entity 'self-isolation' named entity 'public health' named entity 'SEIR' named entity 'SIR model' named entity 'SEIR' named entity 'infection' named entity 'COVID' named entity 'social classes' named entity 'mathematical models' named entity 'self-isolation' named entity 'linear function' named entity 'SARS-CoV2' named entity 'public-health' named entity 'SARS-CoV2' named entity 'order of magnitude' named entity 'evolution' named entity 'evolution' named entity 'infection' named entity 'asymptomatic' named entity 'asymptomatic' named entity 'public health' named entity 'social classes' named entity 'dynamic model' named entity 'epidemic' named entity 'social groups' named entity 'COVID-19' named entity 'feel sick' named entity 'SIR models' named entity 'COVID-19' named entity 'pandemics' named entity 'SEIR' named entity 'floating population' named entity 'Wuhan' named entity 'asymptomatic'

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