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Rigorous Policy-Making Amid COVID-19 and Beyond: Literature Review and Critical Insights

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  • Zhaohui Su

    (Center on Smart and Connected Health Technologies, Mays Cancer Center, School of Nursing, UT Health San Antonio, San Antonio, TX 78229, USA)

Abstract

Policies shape society. Public health policies are of particular importance, as they often dictate matters in life and death. Accumulating evidence indicates that good-intentioned COVID-19 policies, such as shelter-in-place measures, can often result in unintended consequences among vulnerable populations such as nursing home residents and domestic violence victims. Thus, to shed light on the issue, this study aimed to identify policy-making processes that have the potential of developing policies that could induce optimal desirable outcomes with limited to no unintended consequences amid the pandemic and beyond. Methods: A literature review was conducted in PubMed, PsycINFO, and Scopus to answer the research question. To better structure the review and the subsequent analysis, theoretical frameworks such as the social ecological model were adopted to guide the process. Results: The findings suggested that: (1) people-centered; (2) artificial intelligence (AI)-powered; (3) data-driven, and (4) supervision-enhanced policy-making processes could help society develop policies that have the potential to yield desirable outcomes with limited unintended consequences. To leverage these strategies’ interconnectedness, the people-centered, AI-powered, data-driven, and supervision-enhanced (PADS) model of policy making was subsequently developed. Conclusions: The PADS model can develop policies that have the potential to induce optimal outcomes and limit or eliminate unintended consequences amid COVID-19 and beyond. Rather than serving as a definitive answer to problematic COVID-19 policy-making practices, the PADS model could be best understood as one of many promising frameworks that could bring the pandemic policy-making process more in line with the interests of societies at large; in other words, more cost-effectively, and consistently anti-COVID and pro-human.

Suggested Citation

  • Zhaohui Su, 2021. "Rigorous Policy-Making Amid COVID-19 and Beyond: Literature Review and Critical Insights," IJERPH, MDPI, vol. 18(23), pages 1-17, November.
  • Handle: RePEc:gam:jijerp:v:18:y:2021:i:23:p:12447-:d:688585
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    1. Wright, Austin L. & Sonin, Konstantin & Driscoll, Jesse & Wilson, Jarnickae, 2020. "Poverty and economic dislocation reduce compliance with COVID-19 shelter-in-place protocols," Journal of Economic Behavior & Organization, Elsevier, vol. 180(C), pages 544-554.
    2. Garrett Ward Richards, 2017. "How Research-Policy Partnerships Can Benefit Government: A Win-Win for Evidence-Based Policy-Making," Canadian Public Policy, University of Toronto Press, vol. 43(2), pages 165-170, June.
    3. Yasmine Willi & Gero Nischik & Dominik Braunschweiger & Marco Pütz, 2020. "Responding to the COVID‐19 Crisis: Transformative Governance in Switzerland," Tijdschrift voor Economische en Sociale Geografie, Royal Dutch Geographical Society KNAG, vol. 111(3), pages 302-317, July.
    4. Ben Balmford & James D. Annan & Julia C. Hargreaves & Marina Altoè & Ian J. Bateman, 2020. "Cross-Country Comparisons of Covid-19: Policy, Politics and the Price of Life," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 76(4), pages 525-551, August.
    5. Durante, Ruben & Guiso, Luigi & Gulino, Giorgio, 2021. "Asocial capital: Civic culture and social distancing during COVID-19," Journal of Public Economics, Elsevier, vol. 194(C).
    6. Chernozhukov, Victor & Kasahara, Hiroyuki & Schrimpf, Paul, 2021. "Causal impact of masks, policies, behavior on early covid-19 pandemic in the U.S," Journal of Econometrics, Elsevier, vol. 220(1), pages 23-62.
    7. Guglielmo Briscese & Nicola Lacetera & Mario Macis & Mirco Tonin, 2020. "Compliance with Covid-19 Social-Distancing Measures in Italy: The Role of Expectations and Duration," CESifo Working Paper Series 8182, CESifo.
    8. Manski, Charles F., 2020. "Forming COVID-19 Policy Under Uncertainty," Journal of Benefit-Cost Analysis, Cambridge University Press, vol. 11(3), pages 341-356, October.
    9. Adam Brzezinski & Valentin Kecht & David Van Dijcke & Austin L. Wright, 2020. "Belief in Science Influences Physical Distancing in Response to COVID-19 Lockdown Policies," Working Papers 2020-56, Becker Friedman Institute for Research In Economics.
    10. Yandisa Ngqangashe & Maddie Heenan & Melanie Pescud, 2021. "Regulating Alcohol: Strategies Used by Actors to Influence COVID-19 Related Alcohol Bans in South Africa," IJERPH, MDPI, vol. 18(21), pages 1-16, October.
    11. Dale Whittington & Mark Radin & Marc Jeuland, 2020. "Evidence-based policy analysis? The strange case of the randomized controlled trials of community-led total sanitation," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 36(1), pages 191-221.
    12. Shadi Shahsavari & Pavan Holur & Tianyi Wang & Timothy R. Tangherlini & Vwani Roychowdhury, 2020. "Conspiracy in the time of corona: automatic detection of emerging COVID-19 conspiracy theories in social media and the news," Journal of Computational Social Science, Springer, vol. 3(2), pages 279-317, November.
    13. Feijóo, Claudio & Kwon, Youngsun & Bauer, Johannes M. & Bohlin, Erik & Howell, Bronwyn & Jain, Rekha & Potgieter, Petrus & Vu, Khuong & Whalley, Jason & Xia, Jun, 2020. "Harnessing artificial intelligence (AI) to increase wellbeing for all: The case for a new technology diplomacy," Telecommunications Policy, Elsevier, vol. 44(6).
    14. Cristina Mazza & Eleonora Ricci & Silvia Biondi & Marco Colasanti & Stefano Ferracuti & Christian Napoli & Paolo Roma, 2020. "A Nationwide Survey of Psychological Distress among Italian People during the COVID-19 Pandemic: Immediate Psychological Responses and Associated Factors," IJERPH, MDPI, vol. 17(9), pages 1-14, May.
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    Cited by:

    1. Choi, Heewon & Epstein-Deutsch, Eli, 2024. "Identifying Best Practices for Future Pandemic Preparedness: A Comparative Policy Analysis," SocArXiv 7mwbj, Center for Open Science.

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