Incorporating individual health-protective decisions into disease transmission models: a mathematical framework
Incorporating individual health-protective decisions into disease transmission models: a mathematical framework
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DOI:
10.1098/rsif.2011.0325
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发表时间:
2012-03-07
影响因子:
3.9
通讯作者:
Casman, Elizabeth A.
中科院分区:
文献类型:
--
作者:
Durham, David P.;Casman, Elizabeth A.
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.