Literature DB >> 22579850

Risk perception and effectiveness of uncoordinated behavioral responses in an emerging epidemic.

Piero Poletti1, Marco Ajelli, Stefano Merler.   

Abstract

Beyond control measures imposed by public authorities, human behavioral changes can be triggered by uncoordinated responses driven by the risk perception of an emerging epidemic. In order to account for spontaneous social distancing, a model based on an evolutionary game theory framework is here proposed. Behavioral changes are modeled through an imitation process in which the convenience of different behaviors depends on the perceived prevalence of infections. Effects of misperception of risk induced by partial or incorrect information concerning the state of the epidemic are considered as well. Our findings highlight that, if the perceived risk associated to an epidemic is sufficiently large, then even a small reduction in the number of potentially infectious contacts (as a response to the epidemic) can remarkably affect the infection spread. In particular, the earlier the warning about the epidemic appears, the larger the possible reduction of the peak prevalence, and of the final epidemic size. Moreover, the epidemic spread is delayed if individuals' perception of risk is based on a memory mechanism and the risk of infection is initially overestimated. In conclusion, this analysis allows noteworthy inferences about the role of risk perception and the effectiveness of spontaneous behavioral changes during an emerging epidemic.
Copyright © 2012 Elsevier Inc. All rights reserved.

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Year:  2012        PMID: 22579850     DOI: 10.1016/j.mbs.2012.04.003

Source DB:  PubMed          Journal:  Math Biosci        ISSN: 0025-5564            Impact factor:   2.144


  38 in total

1.  Endogenous social distancing and its underappreciated impact on the epidemic curve.

Authors:  Marko Gosak; Moritz U G Kraemer; Heinrich H Nax; Matjaž Perc; Bary S R Pradelski
Journal:  Sci Rep       Date:  2021-02-04       Impact factor: 4.379

2.  Prevention of infectious diseases by public vaccination and individual protection.

Authors:  Xiao-Long Peng; Xin-Jian Xu; Michael Small; Xinchu Fu; Zhen Jin
Journal:  J Math Biol       Date:  2016-04-15       Impact factor: 2.259

3.  Dynamic Games of Social Distancing During an Epidemic: Analysis of Asymmetric Solutions.

Authors:  Ioannis Kordonis; Athanasios-Rafail Lagos; George P Papavassilopoulos
Journal:  Dyn Games Appl       Date:  2021-10-11       Impact factor: 1.296

4.  Connecting within and between-hosts dynamics in the influenza infection-staged epidemiological models with behavior change.

Authors:  Kasia A Pawelek; Cristian Salmeron; Sara Del Valle
Journal:  J Coupled Syst Multiscale Dyn       Date:  2015-09

5.  Bounded rationality alters the dynamics of paediatric immunization acceptance.

Authors:  Tamer Oraby; Chris T Bauch
Journal:  Sci Rep       Date:  2015-06-02       Impact factor: 4.379

6.  Ebola risk perception in Germany, 2014.

Authors:  Nicole Rübsamen; Stefanie Castell; Johannes Horn; André Karch; Jördis J Ott; Heike Raupach-Rosin; Beate Zoch; Gérard Krause; Rafael T Mikolajczyk
Journal:  Emerg Infect Dis       Date:  2015-06       Impact factor: 6.883

7.  Network information analysis reveals risk perception transmission in a behaviour-influenza dynamics system.

Authors:  C-M Liao; S-H You; Y-H Cheng
Journal:  Epidemiol Infect       Date:  2014-03-20       Impact factor: 4.434

8.  Spontaneous social distancing in response to a simulated epidemic: a virtual experiment.

Authors:  Adam Kleczkowski; Savi Maharaj; Susan Rasmussen; Lynn Williams; Nicole Cairns
Journal:  BMC Public Health       Date:  2015-09-28       Impact factor: 3.295

9.  Can informal social distancing interventions minimize demand for antiviral treatment during a severe pandemic?

Authors:  Amy L Greer
Journal:  BMC Public Health       Date:  2013-07-18       Impact factor: 3.295

10.  Lattice model for influenza spreading with spontaneous behavioral changes.

Authors:  Annalisa Fierro; Antonella Liccardo
Journal:  PLoS One       Date:  2013-12-23       Impact factor: 3.240

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