IDEAS home Printed from https://ideas.repec.org/a/wly/riskan/v32y2012i12p2020-2031.html
   My bibliography  Save this article

Deriving Behavior Model Parameters from Survey Data: Self‐Protective Behavior Adoption During the 2009–2010 Influenza A(H1N1) Pandemic

Author

Listed:
  • David P. Durham
  • Elizabeth A. Casman
  • Steven M. Albert

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.

Suggested Citation

  • David P. Durham & Elizabeth A. Casman & Steven M. Albert, 2012. "Deriving Behavior Model Parameters from Survey Data: Self‐Protective Behavior Adoption During the 2009–2010 Influenza A(H1N1) Pandemic," Risk Analysis, John Wiley & Sons, vol. 32(12), pages 2020-2031, December.
    • Handle: RePEc:wly:riskan:v:32:y:2012:i:12:p:2020-2031
    DOI: 10.1111/j.1539-6924.2012.01823.x
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/j.1539-6924.2012.01823.x
    Download Restriction: no
    File URL: https://libkey.io/10.1111/j.1539-6924.2012.01823.x?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Tang, C.S.K. & Wong, C.-Y., 2003. "An Outbreak of the Severe Acute Respiratory Syndrome: Predictors of Health Behaviors and Effect of Community Prevention Measures in Hong Kong, China," American Journal of Public Health, American Public Health Association, vol. 93(11), pages 1887-1889.
    2. Anders A F Wahlberg & Lennart Sjoberg, 2000. "Risk perception and the media," Journal of Risk Research, Taylor & Francis Journals, vol. 3(1), pages 31-50, January.
    3. Jiuchang Wei & Dingtao Zhao & Liang Liang, 2009. "Estimating the growth models of news stories on disasters," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 60(9), pages 1741-1755, September.
    4. Loewenstein, George & Mather, Jane, 1990. "Dynamic Processes in Risk Perception," Journal of Risk and Uncertainty, Springer, vol. 3(2), pages 155-175, June.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Wang, Fei & Yuan, Yu & Lu, Liangdong, 2021. "Dynamical prediction model of consumers’ purchase intentions regarding anti-smog products during smog risk: Taking the information flow perspective," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 563(C).
    2. Ann Pearman & MacKenzie L. Hughes & Clara W. Coblenz & Emily L. Smith & Shevaun D. Neupert, 2023. "A Precautionary Tale: Individual Decision Making in the Time of COVID-19," IJERPH, MDPI, vol. 20(5), pages 1-14, March.
    3. Sunhee Kim & Seoyong Kim, 2020. "Analysis of the Impact of Health Beliefs and Resource Factors on Preventive Behaviors against the COVID-19 Pandemic," IJERPH, MDPI, vol. 17(22), pages 1-21, November.
    4. repec:plo:pone00:0223946 is not listed on IDEAS
    5. d’Onofrio, Alberto & Banerjee, Malay & Manfredi, Piero, 2020. "Spatial behavioural responses to the spread of an infectious disease can suppress Turing and Turing–Hopf patterning of the disease," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 545(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Rachael Piltch‐Loeb & Brian J. Zikmund‐Fisher & Victoria A. Shaffer & Laura D. Scherer & Megan Knaus & Angie Fagerlin & David M. Abramson & Aaron M. Scherer, 2019. "Cross‐Sectional Psychological and Demographic Associations of Zika Knowledge and Conspiracy Beliefs Before and After Local Zika Transmission," Risk Analysis, John Wiley & Sons, vol. 39(12), pages 2683-2693, December.
    2. Wei Zhong, 2017. "Simulating influenza pandemic dynamics with public risk communication and individual responsive behavior," Computational and Mathematical Organization Theory, Springer, vol. 23(4), pages 475-495, December.
    3. Kelly R Moran & Sara Y Del Valle, 2016. "A Meta-Analysis of the Association between Gender and Protective Behaviors in Response to Respiratory Epidemics and Pandemics," PLOS ONE, Public Library of Science, vol. 11(10), pages 1-25, October.
    4. Manae Uchibori & Cyrus Ghaznavi & Michio Murakami & Akifumi Eguchi & Hiroyuki Kunishima & Satoshi Kaneko & Keiko Maruyama-Sakurai & Hiroaki Miyata & Shuhei Nomura, 2022. "Preventive Behaviors and Information Sources during COVID-19 Pandemic: A Cross-Sectional Study in Japan," IJERPH, MDPI, vol. 19(21), pages 1-16, November.
    5. Zhao, Dingtao & Wang, Feng & Wei, Jiuchang & Liang, Liang, 2013. "Public reaction to information release for crisis discourse by organization: Integration of online comments," International Journal of Information Management, Elsevier, vol. 33(3), pages 485-495.
    6. Erdem, Seda & Rigby, Dan, 2011. "Using Best Worst Scaling To Investigate Perceptions Of Control & Concern Over Food And Non-Food Risks," 85th Annual Conference, April 18-20, 2011, Warwick University, Coventry, UK 108790, Agricultural Economics Society.
    7. Andrea Cerase & Lorenzo Cugliari, 2023. "Something Still Remains: Factors Affecting Tsunami Risk Perception on the Coasts Hit by the Reggio Calabria-Messina 1908 Event (Italy)," Sustainability, MDPI, vol. 15(3), pages 1-26, February.
    8. Yi Yang & Ru-De Liu & Yi Ding & Jia Wang & Wei Hong & Ying Wu, 2021. "The Influence of Communication on College Students’ Self–Other Risk Perceptions of COVID-19: A Comparative Study of China and the United States," IJERPH, MDPI, vol. 18(23), pages 1-16, November.
    9. Roberta Weiner & Sarah P. Church & Junyu Lu & Laura A. Esman & Jackie M. Getson & Michelle Fleckenstein & Brennan Radulski & Pranay Ranjan & Emily Usher & Linda S. Prokopy & Linda Pfeiffer, 2021. "Climate change coverage in the United States media during the 2017 hurricane season: implications for climate change communication," Climatic Change, Springer, vol. 164(3), pages 1-19, February.
    10. Ruixia Han & Jian Xu, 2020. "A Comparative Study of the Role of Interpersonal Communication, Traditional Media and Social Media in Pro-Environmental Behavior: A China-Based Study," IJERPH, MDPI, vol. 17(6), pages 1-21, March.
    11. Toan Luu Duc Huynh, 2020. "The COVID-19 risk perception: A survey on socioeconomics and media attention," Economics Bulletin, AccessEcon, vol. 40(1), pages 758-764.
    12. Banus Kam Leung Low & Siu Shing Man & Alan Hoi Shou Chan & Saad Alabdulkarim, 2019. "Construction Worker Risk-Taking Behavior Model with Individual and Organizational Factors," IJERPH, MDPI, vol. 16(8), pages 1-13, April.
    13. Jill J. McCluskey & Gordon C. Rausser, 2001. "Estimation of Perceived Risk and Its Effect on Property Values," Land Economics, University of Wisconsin Press, vol. 77(1), pages 42-55.
    14. Andreea Hancu-Budui & Ana Zorio-Grima & Jose Blanco-Vega, 2020. "Audit Institutions in the European Union: Public Service Promotion, Environmental Engagement and COVID Crisis Communication through Social Media," Sustainability, MDPI, vol. 12(23), pages 1-32, November.
    15. Drakos, Konstantinos & Müller, Cathérine, 2011. "Terrorism risk concern in Europe," Economics Letters, Elsevier, vol. 112(2), pages 195-197, August.
    16. Gabriele Prati & Luca Pietrantoni & Bruna Zani, 2011. "A Social‐Cognitive Model of Pandemic Influenza H1N1 Risk Perception and Recommended Behaviors in Italy," Risk Analysis, John Wiley & Sons, vol. 31(4), pages 645-656, April.
    17. Costa-Font, Joan & Vilaplana-Prieto, Cristina, 2023. "Trusting the health system and COVID 19 restriction compliance," LSE Research Online Documents on Economics 118267, London School of Economics and Political Science, LSE Library.
    18. Qin, Hua & Sanders, Christine & Prasetyo, Yanu & Syukron, Muh. & Prentice, Elizabeth, 2021. "Exploring the dynamic relationships between risk perception and behavior in response to the Coronavirus Disease 2019 (COVID-19) outbreak," Social Science & Medicine, Elsevier, vol. 285(C).
    19. Martin-Lapoirie, Dylan & McColl, Kathleen & Gallopel-Morvan, Karine & Arwidson, Pierre & Raude, Jocelyn, 2024. "Health protective behaviours during the COVID-19 pandemic: Risk adaptation or habituation?," Social Science & Medicine, Elsevier, vol. 342(C).
    20. Nigmatulina, Karima R. & Larson, Richard C., 2009. "Living with influenza: Impacts of government imposed and voluntarily selected interventions," European Journal of Operational Research, Elsevier, vol. 195(2), pages 613-627, June.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:wly:riskan:v:32:y:2012:i:12:p:2020-2031. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: https://doi.org/10.1111/(ISSN)1539-6924 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.