On the spread of SARS-CoV-2 under quarantine: A study based on probabilistic cellular automaton

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dc.contributor.authorMonteiro L.H.A.
dc.contributor.authorFanti V.C.
dc.contributor.authorTessaro A.S.
dc.date.accessioned2024-03-12T23:45:48Z
dc.date.available2024-03-12T23:45:48Z
dc.date.issued2020
dc.description.abstract© 2020 Elsevier B.V.Currently, SARS-CoV-2 (severe acute respiratory syndrome coronavirus 2) is a major worldwide public-health problem. Here, its propagation is modeled by using a probabilistic cellular automaton (PCA). In this model, sick individuals can either remain asymptomatic during the infection or become symptomatic. In order to derive an analytical expression for the basic reproduction number R0, a mean-field approximation written in terms of ordinary differential equations (ODE) is proposed and analyzed. By considering time-constant and time-varying parameters in both approaches (PCA and ODE), numerical simulations are performed in order to evaluate the impact of distinct quarantine regimes on the SARS-CoV-2 pandemic.
dc.description.volume44
dc.identifier.doi10.1016/j.ecocom.2020.100879
dc.identifier.urihttps://dspace.mackenzie.br/handle/10899/34859
dc.relation.ispartofEcological Complexity
dc.rightsAcesso Restrito
dc.subject.otherlanguageBasic reproduction number
dc.subject.otherlanguageCOVID-19
dc.subject.otherlanguageOrdinary differential equation
dc.subject.otherlanguageProbabilistic cellular automaton
dc.subject.otherlanguageQuarantine
dc.subject.otherlanguageSARS-CoV-2
dc.titleOn the spread of SARS-CoV-2 under quarantine: A study based on probabilistic cellular automaton
dc.typeArtigo
local.scopus.citations16
local.scopus.eid2-s2.0-85097731575
local.scopus.updated2024-05-01
local.scopus.urlhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85097731575&origin=inward
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