Deriving Behavior Model Parameters from Survey Data: Self-Protective Behavior Adoption During the 2009-2010 Influenza A(H1N1) Pandemic
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 parameteriz...
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| Published in | Risk analysis Vol. 32; no. 12; pp. 2020 - 2031 |
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| Main Authors | , , |
| Format | Journal Article |
| Language | English |
| Published |
Malden, USA
Blackwell Publishing Inc
01.12.2012
Blackwell Publishing Ltd |
| Subjects | |
| Online Access | Get full text |
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| Abstract | 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. |
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| AbstractList | 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. 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. [PUBLICATION ABSTRACT] 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.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. 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. Reprinted by permission of Blackwell Publishers 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. Adapted from the source document. |
| Author | Albert, Steven M. Casman, Elizabeth A. Durham, David P. |
| AuthorAffiliation | 3 Department of Behavioral and Community Health Sciences, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA 1 School of Public Health, Yale University, New Haven, CT, USA 2 Department of Engineering and Public Policy, Carnegie Mellon University, Pittsburgh, PA, USA |
| AuthorAffiliation_xml | – name: 2 Department of Engineering and Public Policy, Carnegie Mellon University, Pittsburgh, PA, USA – name: 3 Department of Behavioral and Community Health Sciences, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA – name: 1 School of Public Health, Yale University, New Haven, CT, USA |
| Author_xml | – sequence: 1 givenname: David P. surname: Durham fullname: Durham, David P. organization: School of Public Health, Yale University, New Haven, CT, USA – sequence: 2 givenname: Elizabeth A. surname: Casman fullname: Casman, Elizabeth A. organization: Department of Engineering and Public Policy, Carnegie Mellon University, Pittsburgh, PA, USA – sequence: 3 givenname: Steven M. surname: Albert fullname: Albert, Steven M. organization: Department of Behavioral and Community Health Sciences, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA |
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Biosecur Bioterror. 2009 Sep;7(3):275-90 |
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| Snippet | In this paper, we demonstrate how public opinion surveys can be designed to collect information pertinent to computational behavior modeling, and we present... |
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| StartPage | 2020 |
| SubjectTerms | Adult Aged Analysis Behavior Behavior change Changes Communicable diseases Computational methods Crowds Data Collection Disease Outbreaks Diseases H1N1 Health Health Behavior Health Belief Model Health policy Humans Infectious diseases Influenza Influenza A Virus, H1N1 Subtype - isolation & purification Influenza, Human - prevention & control Influenza, Human - virology mathematical modeling Mathematical models Middle Aged Models, Theoretical opinion survey Pandemics Polls & surveys Public health Public opinion Public opinion surveys Risk assessment Risk theory Studies Surveys Swine flu Vaccination and vaccines |
| Title | Deriving Behavior Model Parameters from Survey Data: Self-Protective Behavior Adoption During the 2009-2010 Influenza A(H1N1) Pandemic |
| URI | https://api.istex.fr/ark:/67375/WNG-N3FSMR9D-R/fulltext.pdf https://onlinelibrary.wiley.com/doi/abs/10.1111%2Fj.1539-6924.2012.01823.x https://www.ncbi.nlm.nih.gov/pubmed/22563796 https://www.proquest.com/docview/1237948766 https://www.proquest.com/docview/1239059703 https://www.proquest.com/docview/1272707863 https://www.proquest.com/docview/1282829966 https://www.proquest.com/docview/1322742608 https://pubmed.ncbi.nlm.nih.gov/PMC3755610 |
| Volume | 32 |
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