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A Social‐Cognitive Model of Pandemic Influenza H1N1 Risk Perception and Recommended Behaviors in Italy

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  • Gabriele Prati
  • Luca Pietrantoni
  • Bruna Zani

Abstract

The outbreak of the pandemic influenza H1N1 2009 (swine flu) between March and April 2009 challenged the health services around the world. Indeed, misconceptions and worries have led the public to refuse to comply with precautionary measures. Moreover, there have been limited efforts to develop models incorporating cognitive, social‐contextual, and affective factors as predictors of compliance with recommended behaviors. The aim of this study was to apply a social‐cognitive model of risk perception and individual response to pandemic influenza H1N1 in a representative sample of Italian population. A sample of 1,010 Italians of at least 18 years of age took part in a telephone survey. The survey included measures of perceived preparedness of institutions, family members and friends’ levels of worry, exposure to media campaigns (social‐contextual factors), perceived coping efficacy, likelihood of infection, perceived seriousness, personal impact, and severity of illness (cognitive evaluations), affective response and compliance with recommended behaviors. Results demonstrated that affective response fully mediated the relationship between cognitive evaluations and social‐contextual factors (with the exception of exposure to media campaigns) and compliance with recommended behaviors. Perceived coping efficacy and preparedness of institutions were not related to compliance with recommended behaviors.

Suggested Citation

  • 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.
    • Handle: RePEc:wly:riskan:v:31:y:2011:i:4:p:645-656
    DOI: 10.1111/j.1539-6924.2010.01529.x
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    RePEc Biblio mentions

    As found on the RePEc Biblio, the curated bibliography for Economics:
    1. > Economics of Welfare > Health Economics > Economics of Pandemics > Specific pandemics > Swine Influenza (H1N1)

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    5. Lateef, Rusan & Alaggia, Ramona & Collin-Vézina, Delphine, 2021. "A scoping review on psychosocial consequences of pandemics on parents and children: Planning for today and the future," Children and Youth Services Review, Elsevier, vol. 125(C).
    6. Michael Siegrist & Bernadette Sütterlin, 2014. "Human and Nature‐Caused Hazards: The Affect Heuristic Causes Biased Decisions," Risk Analysis, John Wiley & Sons, vol. 34(8), pages 1482-1494, August.
    7. Zhang, Zhiwei & Liu, Gao & Chen, Bin & Huang, Kun, 2022. "Social asset or social liability? How partisanship moderates the relationship between social capital and Covid-19 vaccination rates across United States counties," Social Science & Medicine, Elsevier, vol. 311(C).
    8. Lixin Jiang & Erica L. Bettac & Hyun Jung Lee & Tahira M. Probst, 2022. "In Whom Do We Trust? A Multifoci Person-Centered Perspective on Institutional Trust during COVID-19," IJERPH, MDPI, vol. 19(3), pages 1-20, February.
    9. Andrea Guazzini & Maria Fiorenza & Gabriele Panerai & Mirko Duradoni, 2021. "What Went Wrong? Predictors of Contact Tracing Adoption in Italy during COVID-19 Pandemic," Future Internet, MDPI, vol. 13(11), pages 1-20, November.
    10. Amir Hassan Zadeh & Hamed M. Zolbanin & Ramesh Sharda & Dursun Delen, 2019. "Social Media for Nowcasting Flu Activity: Spatio-Temporal Big Data Analysis," Information Systems Frontiers, Springer, vol. 21(4), pages 743-760, August.
    11. Taixiang Duan & Hechao Jiang & Xiangshu Deng & Qiongwen Zhang & Fang Wang, 2020. "Government Intervention, Risk Perception, and the Adoption of Protective Action Recommendations: Evidence from the COVID-19 Prevention and Control Experience of China," IJERPH, MDPI, vol. 17(10), pages 1-17, May.
    12. Shan Gao & Weimin Li & Shuang Ling & Xin Dou & Xiaozhou Liu, 2019. "An Empirical Study on the Influence Path of Environmental Risk Perception on Behavioral Responses In China," IJERPH, MDPI, vol. 16(16), pages 1-18, August.
    13. Michael Siegrist & Joseph Árvai, 2020. "Risk Perception: Reflections on 40 Years of Research," Risk Analysis, John Wiley & Sons, vol. 40(S1), pages 2191-2206, November.
    14. Shin-Kue Ryu & Soon-Gwan Chung, 2021. "Korea’s Early COVID-19 Response: Findings and Implications," IJERPH, MDPI, vol. 18(16), pages 1-20, August.
    15. Nien‐Tsu Nancy Chen, 2015. "Predicting Vaccination Intention and Benefit and Risk Perceptions: The Incorporation of Affect, Trust, and Television Influence in a Dual‐Mode Model," Risk Analysis, John Wiley & Sons, vol. 35(7), pages 1268-1280, July.
    16. Tianjun Feng & L. Robin Keller & Ping Wu & Yifan Xu, 2014. "An Empirical Study of the Toxic Capsule Crisis in China: Risk Perceptions and Behavioral Responses," Risk Analysis, John Wiley & Sons, vol. 34(4), pages 698-710, April.

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