Details:

Alternative Title:
Risk Anal
Personal Author:
Durham, David P. ; Casman, Elizabeth A. ; Albert, Steven M.
Durham, David P. ; Casman, Elizabeth A. ; Albert, Steven M. Less -
Description:
In this paper, we demonstrate how public opinion surveys can be designed to collect information pertinent to computational behavior modeling, and we present the results of a public opinion and behavior survey conducted during the 2009-2010 H1N1 influenza pandemic. The results are used to parameterize the Health Belief Model of individual health-protective decision making. Survey subjects were asked questions about their perceptions of the then-circulating influenza and attitudes towards two personal protective behaviors: vaccination and avoidance of crowds. We empirically address two important issues in applying the Health Belief Model of behavior to computational infectious disease simulation: (1) the factors dynamically influencing the states of the Health Belief Model variables and (2) the appropriateness of the Health Belief Model in describing self-protective behavior in the context of pandemic influenza.
Subjects:
[+]
Adult Aged Article Data Collection Disease Outbreaks Health Behavior Humans Influenza, Human Influenza A Virus, H1N1 Subtype Middle Aged Models, Theoretical
Source:
Risk Anal. 32(12):2020-2031
Pubmed ID:
22563796
Pubmed Central ID:
PMC3755610
Document Type:
Journal Article
Funding:
P01 TP000304/TP/OPHPR CDC HHS/United States ; U54 GM088491/GM/NIGMS NIH HHS/United States ; U54GM088491/GM/NIGMS NIH HHS/United States
P01 TP000304/TP/OPHPR CDC HHS/United States ; U54 GM088491/GM/NIGMS NIH HHS/United States ; U54GM088491/GM/NIGMS NIH HHS/United States Less -
Collection(s):
CDC Public Access
Main Document Checksum:
[+]
urn:sha256:99e23fad92d6f4fb3ea0292c15cd1d56a15539e531bbedfa916c72fb561bc75e
Download URL:
https://stacks.cdc.gov/view/cdc/41906/cdc_41906_DS1.pdf
File Type:

Supporting Files

• 	NIHMS496218-supplement-Supplement.doc	doc
  	nihms496218.nxml	xml
  	nihms496218f1.gif	gif
  	nihms496218f1.jpg	jpeg

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