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A Meta-Analysis of the Association between Gender and Protective Behaviors in Response to Respiratory Epidemics and Pandemics

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  • Kelly R Moran
  • Sara Y Del Valle

Abstract

Respiratory infectious disease epidemics and pandemics are recurring events that levy a high cost on individuals and society. The health-protective behavioral response of the public plays an important role in limiting respiratory infectious disease spread. Health-protective behaviors take several forms. Behaviors can be categorized as pharmaceutical (e.g., vaccination uptake, antiviral use) or non-pharmaceutical (e.g., hand washing, face mask use, avoidance of public transport). Due to the limitations of pharmaceutical interventions during respiratory epidemics and pandemics, public health campaigns aimed at limiting disease spread often emphasize both non-pharmaceutical and pharmaceutical behavioral interventions. Understanding the determinants of the public’s behavioral response is crucial for devising public health campaigns, providing information to parametrize mathematical models, and ultimately limiting disease spread. While other reviews have qualitatively analyzed the body of work on demographic determinants of health-protective behavior, this meta-analysis quantitatively combines the results from 85 publications to determine the global relationship between gender and health-protective behavioral response. The results show that women in the general population are about 50% more likely than men to adopt/practice non-pharmaceutical behaviors. Conversely, men in the general population are marginally (about 12%) more likely than women to adopt/practice pharmaceutical behaviors. It is possible that factors other than pharmaceutical/non-pharmaceutical status not included in this analysis act as moderators of this relationship. These results suggest an inherent difference in how men and women respond to epidemic and pandemic respiratory infectious diseases. This information can be used to target specific groups when developing non-pharmaceutical public health campaigns and to parameterize epidemic models incorporating demographic information.

Suggested Citation

  • 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.
  • Handle: RePEc:plo:pone00:0164541
    DOI: 10.1371/journal.pone.0164541
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    References listed on IDEAS

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    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. David Moher & Alessandro Liberati & Jennifer Tetzlaff & Douglas G Altman & The PRISMA Group, 2009. "Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement," PLOS Medicine, Public Library of Science, vol. 6(7), pages 1-6, July.
    3. Caroline Rudisill, 2013. "How do we handle new health risks? Risk perception, optimism, and behaviors regarding the H1N1 virus," Journal of Risk Research, Taylor & Francis Journals, vol. 16(8), pages 959-980, September.
    4. Condon, Bradly John & Sinha, Tapen, 2010. "Who is that masked person: The use of face masks on Mexico City public transportation during the Influenza A (H1N1) outbreak," Health Policy, Elsevier, vol. 95(1), pages 50-56, April.
    5. Viechtbauer, Wolfgang, 2010. "Conducting Meta-Analyses in R with the metafor Package," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 36(i03).
    6. Gidengil, C.A. & Parker, A.M. & Zikmund-Fisher, B.J., 2012. "Trends in risk perceptions and vaccination intentions: A longitudinal study of the first year of the H1N1 pandemic," American Journal of Public Health, American Public Health Association, vol. 102(4), pages 672-679.
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    Cited by:

    1. Steven Stillman & Mirco Tonin, 2022. "Communities and testing for COVID-19," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 23(4), pages 617-625, June.
    2. Guogui Huang & Fei Guo, 2022. "Loss of life expectancy due to respiratory infectious diseases: findings from the global burden of disease study in 195 countries and territories 1990–2017," Journal of Population Research, Springer, vol. 39(1), pages 1-43, March.
    3. Storopoli, Jose & Braga da Silva Neto, Wilson Levy & Mesch, Gustavo S., 2020. "Confidence in social institutions, perceived vulnerability and the adoption of recommended protective behaviors in Brazil during the COVID-19 pandemic," Social Science & Medicine, Elsevier, vol. 265(C).
    4. Kostas Rontos & Maria-Eleni Syrmali & Luca Salvati, 2021. "Unravelling the Role of Socioeconomic Forces in the Early Stage of COVID-19 Pandemic: A Global Analysis," IJERPH, MDPI, vol. 18(12), pages 1-14, June.
    5. Zuzanna Kowalik & Piotr Lewandowski, 2021. "The gender gap in aversion to COVID-19 exposure: Evidence from professional tennis," PLOS ONE, Public Library of Science, vol. 16(3), pages 1-10, March.
    6. Klona, Maria, 2021. "The Days After COVID-19: A Meta-Analysis on the Impact of Epidemics and Pandemics on Long-Term Macro-Economic Performance," American Business Review, Pompea College of Business, University of New Haven, vol. 24(1), pages 188-224, May.
    7. Dominika Guzek & Dominika Skolmowska & Dominika Głąbska, 2020. "Analysis of Gender-Dependent Personal Protective Behaviors in a National Sample: Polish Adolescents’ COVID-19 Experience (PLACE-19) Study," IJERPH, MDPI, vol. 17(16), pages 1-22, August.
    8. Daniel Lucheș & Despina Saghin & Maria-Magdalena Lupchian, 2021. "Public Perception of the First Major SARS-Cov-2 Outbreak in the Suceava County, Romania," IJERPH, MDPI, vol. 18(4), pages 1-16, February.
    9. Emily Ying Yang Chan & Jean H. Kim & Kin-on Kwok & Zhe Huang & Kevin Kei Ching Hung & Eliza Lai Yi Wong & Eric Kam Pui Lee & Samuel Yeung Shan Wong, 2021. "Population Adherence to Infection Control Behaviors during Hong Kong’s First and Third COVID-19 Waves: A Serial Cross-Sectional Study," IJERPH, MDPI, vol. 18(21), pages 1-17, October.
    10. Michael Cary & Heather Stephens, 2023. "Gendered Consequences of COVID-19 Among Professional Tennis Players," Journal of Sports Economics, , vol. 24(2), pages 241-266, February.

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