Oscillations in an epidemiological model based on asynchronous probabilistic cellular automaton

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dc.contributor.authorChaves L.L.
dc.contributor.authorMonteiro L.H.A.
dc.date.accessioned2024-03-13T00:48:52Z
dc.date.available2024-03-13T00:48:52Z
dc.date.issued2017
dc.description.abstract© 2017 Elsevier B.V.Consider a contagious disease affecting a host population composed of two groups with distinct habits. At each time step, each individual of this population can be in one of two states: susceptible (S) or infective (I). Here, a SIS epidemic model based on cellular automaton (CA) is proposed to study the disease spreading in such a population. In this model, the state transitions are described by probabilistic rules and each group has its own schedule to update the states of its individuals. We also propose a set of difference equations (DE) to analyze this population dynamics and we show how these two approaches (CA and DE) can be equivalent. We noticed that oscillations can be found in the composition of the group with more active social life, but not in the composition of the other group.
dc.description.firstpage57
dc.description.lastpage63
dc.description.volume31
dc.identifier.doi10.1016/j.ecocom.2017.03.001
dc.identifier.urihttps://dspace.mackenzie.br/handle/10899/35730
dc.relation.ispartofEcological Complexity
dc.rightsAcesso Restrito
dc.subject.otherlanguageAsynchronous cellular automaton
dc.subject.otherlanguageEpidemic
dc.subject.otherlanguageProbabilistic cellular automaton
dc.subject.otherlanguageRisk-structured model
dc.subject.otherlanguageSelf-sustained oscillation
dc.subject.otherlanguageSIS model
dc.titleOscillations in an epidemiological model based on asynchronous probabilistic cellular automaton
dc.typeArtigo
local.scopus.citations9
local.scopus.eid2-s2.0-85017321193
local.scopus.updated2024-05-01
local.scopus.urlhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85017321193&origin=inward
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