Literature DB >> 21077927

A social-cognitive model of pandemic influenza H1N1 risk perception and recommended behaviors in Italy.

Gabriele Prati1, 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.
© 2010 Society for Risk Analysis.

Entities:  

Mesh:

Year:  2010        PMID: 21077927     DOI: 10.1111/j.1539-6924.2010.01529.x

Source DB:  PubMed          Journal:  Risk Anal        ISSN: 0272-4332            Impact factor:   4.000


  40 in total

Review 1.  Unresolved issues in risk communication research: the case of the H1N1 pandemic (2009-2011).

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2.  Surveillance of perceptions, knowledge, attitudes and behaviors of the Italian adult population (18-69 years) during the 2009-2010 A/H1N1 influenza pandemic.

Authors:  Gianluigi Ferrante; Sandro Baldissera; Pirous Fateh Moghadam; Giuliano Carrozzi; Massimo Oddone Trinito; Stefania Salmaso
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3.  Knowledge, Perceptions, and Preferred Information Sources Related to COVID-19 Among Central Pennsylvania Adults Early in the Pandemic: A Mixed Methods Cross-Sectional Survey.

Authors:  Lauren Jodi Van Scoy; Erin L Miller; Bethany Snyder; Emily Wasserman; Vernon M Chinchilli; Aleksandra E Zgierska; David Rabago; Courtney L Lennon; Daniella Lipnick; Olubukola Toyobo; Mack T Ruffin; Robert P Lennon
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4.  An Infectious Silver Lining: Is There a Positive Relationship Between Recovering From a COVID Infection and Psychological Richness of Life?

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Journal:  Front Psychol       Date:  2022-04-25

5.  A qualitative study of developers' discussions of their problems and joys during the early COVID-19 months.

Authors:  Gias Uddin; Omar Alam; Alexander Serebrenik
Journal:  Empir Softw Eng       Date:  2022-06-04       Impact factor: 3.762

6.  Canadian national surveys on pandemic influenza preparations: pre-pandemic and peri-pandemic findings.

Authors:  Paul Ritvo; Daniel F Perez; Kumanan Wilson; Jennifer L Gibson; Crissa L Guglietti; C Shawn Tracy; Cecile M Bensimon; Ross E G Upshur
Journal:  BMC Public Health       Date:  2013-03-25       Impact factor: 3.295

7.  Predictors of well-being and productivity among software professionals during the COVID-19 pandemic - a longitudinal study.

Authors:  Daniel Russo; Paul H P Hanel; Seraphina Altnickel; Niels van Berkel
Journal:  Empir Softw Eng       Date:  2021-04-28       Impact factor: 2.522

8.  Factors Associated With Individual Emergency Preparedness Behaviors: A Cross-Sectional Survey Among the Public in Three Chinese Provinces.

Authors:  Ning Ning; Man Hu; Jin Qiao; Chaojie Liu; Xiaowen Zhao; Wei Xu; Weilan Xu; Bin Zheng; Zhiqiang Chen; Yi Yu; Yanhua Hao; Qunhong Wu
Journal:  Front Public Health       Date:  2021-05-21

9.  Hope, fear, and consumer behavioral change amid COVID-19: Application of protection motivation theory.

Authors:  Jiyoung Kim; Kiseol Yang; Jihye Min; Brechey White
Journal:  Int J Consum Stud       Date:  2021-05-17

10.  Network information analysis reveals risk perception transmission in a behaviour-influenza dynamics system.

Authors:  C-M Liao; S-H You; Y-H Cheng
Journal:  Epidemiol Infect       Date:  2014-03-20       Impact factor: 4.434

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