A vaccination game based on public health actions and personal decisions

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dc.contributor.authorSchimit P.H.T.
dc.contributor.authorMonteiro L.H.A.
dc.date.accessioned2024-03-13T01:11:21Z
dc.date.available2024-03-13T01:11:21Z
dc.date.issued2011
dc.description.abstractSusceptible-infective-removed (SIR) models are commonly used for representing the spread of contagious diseases. A SIR model can be described in terms of a probabilistic cellular automaton (PCA), where each individual (corresponding to a cell of the PCA lattice) is connected to others by a random network favoring local contacts. Here, this framework is employed for investigating the consequences of applying vaccine against the propagation of a contagious infection, by considering vaccination as a game, in the sense of game theory. In this game, the players are the government and the susceptible newborns. In order to maximize their own payoffs, the government attempts to reduce the costs for combating the epidemic, and the newborns may be vaccinated only when infective individuals are found in their neighborhoods and/or the government promotes an immunization program. As a consequence of these strategies supported by cost-benefit analysis and perceived risk, numerical simulations show that the disease is not fully eliminated and the government implements quasi-periodic vaccination campaigns. © 2011 Elsevier B.V.
dc.description.firstpage1651
dc.description.issuenumber9
dc.description.lastpage1655
dc.description.volume222
dc.identifier.doi10.1016/j.ecolmodel.2011.02.019
dc.identifier.issn0304-3800
dc.identifier.urihttps://dspace.mackenzie.br/handle/10899/36992
dc.relation.ispartofEcological Modelling
dc.rightsAcesso Restrito
dc.subject.otherlanguageComplex network
dc.subject.otherlanguageGame theory
dc.subject.otherlanguageProbabilistic cellular automaton
dc.subject.otherlanguageSIR model
dc.subject.otherlanguageVaccination
dc.titleA vaccination game based on public health actions and personal decisions
dc.typeArtigo
local.scopus.citations31
local.scopus.eid2-s2.0-79953331958
local.scopus.subjectBenefit analysis
local.scopus.subjectComplex networks
local.scopus.subjectContagious disease
local.scopus.subjectNumerical simulation
local.scopus.subjectPerceived risk
local.scopus.subjectPersonal decision
local.scopus.subjectProbabilistic cellular automaton
local.scopus.subjectProbabilistic cellular automatons
local.scopus.subjectPublic health
local.scopus.subjectQuasi-periodic
local.scopus.subjectRandom network
local.scopus.subjectSIR model
local.scopus.subjectVaccination
local.scopus.updated2024-05-01
local.scopus.urlhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=79953331958&origin=inward
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