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Incorporating individual health-protective decisions into disease transmission models: a mathematical framework

Identifieur interne : 000079 ( Psycho/Analysis ); précédent : 000078; suivant : 000080

Incorporating individual health-protective decisions into disease transmission models: a mathematical framework

Auteurs : David P. Durham [États-Unis] ; Elizabeth A. Casman [États-Unis]

Source :

RBID : PMC:3262418

Abstract

It is anticipated that the next generation of computational epidemic models will simulate both infectious disease transmission and dynamic human behaviour change. Individual agents within a simulation will not only infect one another, but will also have situational awareness and a decision algorithm that enables them to modify their behaviour. This paper develops such a model of behavioural response, presenting a mathematical interpretation of a well-known psychological model of individual decision making, the health belief model, suitable for incorporation within an agent-based disease-transmission model. We formalize the health belief model and demonstrate its application in modelling the prevalence of facemask use observed over the course of the 2003 Hong Kong SARS epidemic, a well-documented example of behaviour change in response to a disease outbreak.


Url:
DOI: 10.1098/rsif.2011.0325
PubMed: 21775324
PubMed Central: 3262418


Affiliations:


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PMC:3262418

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