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Incorporating Individual Health-protective Decisions into Disease Transmission Models: a Mathematical Framework

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Date 2011 Jul 22
PMID 21775324
Citations 34
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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.

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References
1.
Tang C, Wong C . Factors influencing the wearing of facemasks to prevent the severe acute respiratory syndrome among adult Chinese in Hong Kong. Prev Med. 2004; 39(6):1187-93. PMC: 7133369. DOI: 10.1016/j.ypmed.2004.04.032. View

2.
Maiman L, BECKER M, KIRSCHT J, HAEFNER D, DRACHMAN R . Scales for measuring health belief model dimensions: a test of predictive value, internal consistency, and relationships among beliefs. Health Educ Monogr. 1977; 5(3):215-30. DOI: 10.1177/109019817700500303. View

3.
Lau J, Yang X, Tsui H, Kim J . Monitoring community responses to the SARS epidemic in Hong Kong: from day 10 to day 62. J Epidemiol Community Health. 2003; 57(11):864-70. PMC: 1732318. DOI: 10.1136/jech.57.11.864. View

4.
Weinstein N, Nicolich M . Correct and incorrect interpretations of correlations between risk perceptions and risk behaviors. Health Psychol. 1993; 12(3):235-45. DOI: 10.1037//0278-6133.12.3.235. View

5.
Metcalfe J, Mischel W . A hot/cool-system analysis of delay of gratification: dynamics of willpower. Psychol Rev. 1999; 106(1):3-19. DOI: 10.1037/0033-295x.106.1.3. View