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Using behavioral science to help fight the Coronavirus

Author

Listed:
  • Peter D. Lunn

    (Economic and Social Research Institute & Trinity College Dublin)

  • Cameron A. Belton

    (Economic and Social Research Institute)

  • Ciarán Lavin

    (Economic and Social Research Institute)

  • Féidhlim P. McGowan

    (Trinity College Dublin)

  • Shane Timmons

    (Economic and Social Research Institute)

  • Deirdre A. Robertson

    (Economic and Social Research Institute & Trinity College Dublin)

Abstract

This rapid, narrative review summarizes useful evidence from behavioral science for fighting the COVID-19 outbreak. We undertook an extensive, multi-disciplinary literature search covering five issues: handwashing, face touching, self-isolation, public-spirited behavior, and responses to crisis communication. The search identified more than 100 relevant papers. We find effective behavioral interventions to increase handwashing, but not to reduce face touching. Social supports and behavioral plans can reduce the negative psychological effects of isolation, potentially reducing the disincentive to isolate. Public-spirited behavior is more likely with frequent communication of what is “best for all†, strong group identity, and social disapproval of noncompliance. Effective crisis communication involves speed, honesty, credibility, empathy, and promoting useful individual actions. Risks are probably best communicated through numbers, with ranges to describe uncertainty – simply stating a maximum may bias public perception. The findings aim to be useful not only for government and public health authorities, but for organizations and communities.

Suggested Citation

  • Peter D. Lunn & Cameron A. Belton & Ciarán Lavin & Féidhlim P. McGowan & Shane Timmons & Deirdre A. Robertson, 2020. "Using behavioral science to help fight the Coronavirus," Journal of Behavioral Public Administration, Center for Experimental and Behavioral Public Administration, vol. 3(1).
  • Handle: RePEc:bpd:articl:v:3:y:2020:i:1:jbpa.31.147
    DOI: 10.30636/jbpa.31.147
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    References listed on IDEAS

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    1. Judah, G. & Aunger, R. & Schmidt, W.-P. & Michie, S. & Granger, S. & Curtis, V., 2009. "Experimental pretesting of hand-washing interventions in a natural setting," American Journal of Public Health, American Public Health Association, vol. 99(S2), pages 405-411.
    2. Smith, Richard D., 2006. "Responding to global infectious disease outbreaks: Lessons from SARS on the role of risk perception, communication and management," Social Science & Medicine, Elsevier, vol. 63(12), pages 3113-3123, December.
    3. Ostrom, Elinor & Walker, James & Gardner, Roy, 1992. "Covenants with and without a Sword: Self-Governance Is Possible," American Political Science Review, Cambridge University Press, vol. 86(2), pages 404-417, June.
    4. Ford, E.W. & Boyer, B.T. & Menachemi, N. & Huerta, T.R., 2014. "Increasing hand washing compliance with a simple visual cue," American Journal of Public Health, American Public Health Association, vol. 104(10), pages 1851-1856.
    5. Helga Fehr-Duda & Thomas Epper, 2012. "Probability and Risk: Foundations and Economic Implications of Probability-Dependent Risk Preferences," Annual Review of Economics, Annual Reviews, vol. 4(1), pages 567-593, July.
    6. Sander van der Linden, 2017. "The nature of viral altruism and how to make it stick," Nature Human Behaviour, Nature, vol. 1(3), pages 1-4, March.
    7. Cagliuso Sr. Nicholas V, 2005. "The Risks of Terrorism," Journal of Homeland Security and Emergency Management, De Gruyter, vol. 2(2), pages 1-7, June.
    8. Lee, Sing & Chan, Lydia Y.Y. & Chau, Annie M.Y. & Kwok, Kathleen P.S. & Kleinman, Arthur, 2005. "The experience of SARS-related stigma at Amoy Gardens," Social Science & Medicine, Elsevier, vol. 61(9), pages 2038-2046, November.
    9. Simon Gachter & Ernst Fehr, 2000. "Cooperation and Punishment in Public Goods Experiments," American Economic Review, American Economic Association, vol. 90(4), pages 980-994, September.
    10. Ernst Fehr & Ivo Schurtenberger, 2018. "Normative foundations of human cooperation," Nature Human Behaviour, Nature, vol. 2(7), pages 458-468, July.
    11. Vaughan, E. & Tinker, T., 2009. "Effective health risk communication about pandemic influenza for vulnerable populations," American Journal of Public Health, American Public Health Association, vol. 99(S2), pages 324-332.
    12. Sander van der Linden, 2015. "Intrinsic motivation and pro-environmental behaviour," Nature Climate Change, Nature, vol. 5(7), pages 612-613, July.
    13. Kahneman,Daniel & Tversky,Amos (ed.), 2000. "Choices, Values, and Frames," Cambridge Books, Cambridge University Press, number 9780521627498, October.
    14. Branden B. Johnson & Paul Slovic, 1995. "Presenting Uncertainty in Health Risk Assessment: Initial Studies of Its Effects on Risk Perception and Trust," Risk Analysis, John Wiley & Sons, vol. 15(4), pages 485-494, August.
    15. Alexandre Bovet & Hernán A. Makse, 2019. "Influence of fake news in Twitter during the 2016 US presidential election," Nature Communications, Nature, vol. 10(1), pages 1-14, December.
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    More about this item

    Keywords

    COVID-19; Behavioral science; Narrative review; Interventions; Public Policy;
    All these keywords.

    JEL classification:

    • D91 - Microeconomics - - Micro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
    • Z00 - Other Special Topics - - General - - - General
    • D90 - Microeconomics - - Micro-Based Behavioral Economics - - - General

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