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Public Preferences for Government Response Policies on Outbreak Control

Author

Listed:
  • Semra Ozdemir

    (Duke-NUS Medical School
    Duke-NUS Medical School
    National University of Singapore)

  • Si Ning Germaine Tan

    (Duke-NUS Medical School
    Duke-NUS Medical School)

  • Isha Chaudhry

    (Duke-NUS Medical School
    Duke-NUS Medical School)

  • Chetna Malhotra

    (Duke-NUS Medical School
    Duke-NUS Medical School)

  • Eric Andrew Finkelstein

    (Duke-NUS Medical School
    Duke-NUS Medical School
    National University of Singapore
    Duke University)

Abstract

Objective The aim of this study was to assess the extent to which public support for outbreak containment policies varies with respect to the severity of an infectious disease outbreak. Methods A web-enabled survey was administered to 1017 residents of Singapore during the coronavirus disease 2019 (COVID-19) pandemic, and was quota-sampled based on age, sex, and ethnicity. A fractional-factorial design was used to create hypothetical outbreak vignettes characterised by morbidity and fatality rates, and local and global spread of an infectious disease. Each respondent was asked to indicate which response policies (among five policies restricting local movement and four border control policies) they would support in five randomly assigned vignettes. Binomial logistic regressions were used to predict the probabilities of support as a function of outbreak attributes, personal characteristics, and perceived policy effectiveness. Results Likelihood of support varied across government response policies but was generally higher for border control policies compared with internal policies. The fatality rate was the most important factor for internal policies, while the degree of global spread was the most important for border control policies. In general, individuals who were less healthy, had higher-income, and were older were more likely to support these policies. Perceived effectiveness of a policy was a consistent and positive predictor of public support. Conclusions Our findings suggest that campaigns to promote public support should be designed specifically to each policy and tailored to different segments of the population. They should also be adapted based on the evolving conditions of the outbreak in order to receive continued public support.

Suggested Citation

  • Semra Ozdemir & Si Ning Germaine Tan & Isha Chaudhry & Chetna Malhotra & Eric Andrew Finkelstein, 2021. "Public Preferences for Government Response Policies on Outbreak Control," The Patient: Patient-Centered Outcomes Research, Springer;International Academy of Health Preference Research, vol. 14(3), pages 347-358, May.
  • Handle: RePEc:spr:patien:v:14:y:2021:i:3:d:10.1007_s40271-020-00494-9
    DOI: 10.1007/s40271-020-00494-9
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    References listed on IDEAS

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    1. Ben Jann, 2013. "Predictive Margins and Marginal Effects in Stata," German Stata Users' Group Meetings 2013 11, Stata Users Group.
    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.
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    Cited by:

    1. Mouter, Niek & Jara, Karen Trujillo & Hernandez, Jose Ignacio & Kroesen, Maarten & de Vries, Martijn & Geijsen, Tom & Kroese, Floor & Uiters, Ellen & de Bruin, Marijn, 2022. "Stepping into the shoes of the policy maker: Results of a Participatory Value Evaluation for the Dutch long term COVID-19 strategy," Social Science & Medicine, Elsevier, vol. 314(C).
    2. Rachael L. DiSantostefano & Fern Terris-Prestholt, 2021. "Using Societal Values to Inform Public Health Policy During the COVID-19 Pandemic: The Role of Health Preference Research," The Patient: Patient-Centered Outcomes Research, Springer;International Academy of Health Preference Research, vol. 14(3), pages 303-307, May.

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