Literature DB >> 19446570

Spontaneous behavioural changes in response to epidemics.

Piero Poletti1, Bruno Caprile, Marco Ajelli, Andrea Pugliese, Stefano Merler.   

Abstract

We study how spontaneous reduction in the number of contacts could develop, as a defensive response, during an epidemic and affect the course of infection events. A model is proposed which couples an SIR model with selection of behaviours driven by imitation dynamics. Therefore, infection transmission and population behaviour become dynamical variables that influence each other. In particular, time scales of behavioural changes and epidemic transmission can be different. We provide a full qualitative characterization of the solutions when the dynamics of behavioural changes is either much faster or much slower than that of epidemic transmission. The model accounts for multiple outbreaks occurring within the same epidemic episode. Moreover, the model can explain "asymmetric waves", i.e., infection waves whose rising and decaying phases differ in slope. Finally, we prove that introduction of behavioural dynamics results in the reduction of the final attack rate.

Mesh:

Year:  2009        PMID: 19446570     DOI: 10.1016/j.jtbi.2009.04.029

Source DB:  PubMed          Journal:  J Theor Biol        ISSN: 0022-5193            Impact factor:   2.691


  35 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.  Decisions and disease: a mechanism for the evolution of cooperation.

Authors:  Carl-Joar Karlsson; Julie Rowlett
Journal:  Sci Rep       Date:  2020-08-04       Impact factor: 4.379

3.  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

4.  The effect of risk perception on the 2009 H1N1 pandemic influenza dynamics.

Authors:  Piero Poletti; Marco Ajelli; Stefano Merler
Journal:  PLoS One       Date:  2011-02-07       Impact factor: 3.240

5.  Age-prioritized use of antivirals during an influenza pandemic.

Authors:  Stefano Merler; Marco Ajelli; Caterina Rizzo
Journal:  BMC Infect Dis       Date:  2009-07-28       Impact factor: 3.090

6.  Compliance with NPIs and possible deleterious effects on mitigation of an epidemic outbreak.

Authors:  Maria Vittoria Barbarossa; Jan Fuhrmann
Journal:  Infect Dis Model       Date:  2021-07-12

7.  On the existence of a threshold for preventive behavioral responses to suppress epidemic spreading.

Authors:  Faryad Darabi Sahneh; Fahmida N Chowdhury; Caterina M Scoglio
Journal:  Sci Rep       Date:  2012-09-05       Impact factor: 4.379

8.  The interplay of public intervention and private choices in determining the outcome of vaccination programmes.

Authors:  Alberto d'Onofrio; Piero Manfredi; Piero Poletti
Journal:  PLoS One       Date:  2012-10-01       Impact factor: 3.240

9.  Age-specific contacts and travel patterns in the spatial spread of 2009 H1N1 influenza pandemic.

Authors:  Andrea Apolloni; Chiara Poletto; Vittoria Colizza
Journal:  BMC Infect Dis       Date:  2013-04-15       Impact factor: 3.090

10.  Controlling epidemic spread by social distancing: do it well or not at all.

Authors:  Savi Maharaj; Adam Kleczkowski
Journal:  BMC Public Health       Date:  2012-08-20       Impact factor: 3.295

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