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Predictors of adherence to public health behaviors for fighting COVID-19 derived from longitudinal data - PubMed

  • ️Sat Jan 01 2022

doi: 10.1038/s41598-021-04703-9.

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Predictors of adherence to public health behaviors for fighting COVID-19 derived from longitudinal data

Birga M Schumpe et al. Sci Rep. 2022.

Abstract

The present paper examines longitudinally how subjective perceptions about COVID-19, one's community, and the government predict adherence to public health measures to reduce the spread of the virus. Using an international survey (N = 3040), we test how infection risk perception, trust in the governmental response and communications about COVID-19, conspiracy beliefs, social norms on distancing, tightness of culture, and community punishment predict various containment-related attitudes and behavior. Autoregressive analyses indicate that, at the personal level, personal hygiene behavior was predicted by personal infection risk perception. At social level, social distancing behaviors such as abstaining from face-to-face contact were predicted by perceived social norms. Support for behavioral mandates was predicted by confidence in the government and cultural tightness, whereas support for anti-lockdown protests was predicted by (lower) perceived clarity of communication about the virus. Results are discussed in light of policy implications and creating effective interventions.

© 2022. The Author(s).

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Conflict of interest statement

The authors declare no competing interests.

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References

    1. Cowling BJ, Aiello AE. Public health measures to slow community spread of coronavirus disease 2019. J. Infect. Dis. 2020;221(11):1749–1751. doi: 10.1093/infdis/jiaa123. - DOI - PMC - PubMed
    1. Wilder-Smith, A., & Freedman, D. O. Isolation, quarantine, social distancing and community containment: Pivotal role for old-style public health measures in the novel coronavirus (2019-nCoV) outbreak. J. Travel Med.27(2), taaa020. 10.1093/jtm/taaa020 (2020). - PMC - PubMed
    1. Bavel JJV, et al. Using social and behavioural science to support COVID-19 pandemic response. Nat. Hum. Behav. 2020;4(5):460–471. doi: 10.1038/s41562-020-0884-z. - DOI - PubMed
    1. Rudisill C. How do we handle new health risks? Risk perception, optimism, and behaviors regarding the H1N1 virus. J. Risk Res. 2013;16:959–980. doi: 10.1080/13669877.2012.761271. - DOI
    1. Capraro V, Barcelo H. The effect of messaging and gender on intentions to wear a face covering to slow down COVID-19 transmission. J. Behav. Econ. Policy. 2020;4:45–55.

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