IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0254127.html
   My bibliography  Save this article

The role of race and scientific trust on support for COVID-19 social distancing measures in the United States

Author

Listed:
  • Sara Kazemian
  • Sam Fuller
  • Carlos Algara

Abstract

Pundits and academics across disciplines note that the human toll brought forth by the novel coronavirus (COVID-19) pandemic in the United States (U.S.) is fundamentally unequal for communities of color. Standing literature on public health posits that one of the chief predictors of racial disparity in health outcomes is a lack of institutional trust among minority communities. Furthermore, in our own county-level analysis from the U.S., we find that counties with higher percentages of Black and Hispanic residents have had vastly higher cumulative deaths from COVID-19. In light of this standing literature and our own analysis, it is critical to better understand how to mitigate or prevent these unequal outcomes for any future pandemic or public health emergency. Therefore, we assess the claim that raising institutional trust, primarily scientific trust, is key to mitigating these racial inequities. Leveraging a new, pre-pandemic measure of scientific trust, we find that trust in science, unlike trust in politicians or the media, significantly raises support for COVID-19 social distancing policies across racial lines. Our findings suggest that increasing scientific trust is essential to garnering support for public health policies that lessen the severity of the current, and potentially a future, pandemic.

Suggested Citation

  • Sara Kazemian & Sam Fuller & Carlos Algara, 2021. "The role of race and scientific trust on support for COVID-19 social distancing measures in the United States," PLOS ONE, Public Library of Science, vol. 16(7), pages 1-23, July.
  • Handle: RePEc:plo:pone00:0254127
    DOI: 10.1371/journal.pone.0254127
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0254127
    Download Restriction: no

    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0254127&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pone.0254127?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Phebo D Wibbens & Wesley Wu-Yi Koo & Anita M McGahan, 2020. "Which COVID policies are most effective? A Bayesian analysis of COVID-19 by jurisdiction," PLOS ONE, Public Library of Science, vol. 15(12), pages 1-19, December.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Henrike Sternberg & Janina Isabel Steinert & Tim Büthe, 2023. "Compliance in the Public versus the Private Realm: Economic Preferences, Institutional Trust and COVID-19 Health Behaviors," Munich Papers in Political Economy 28, Munich School of Politics and Public Policy and the School of Management at the Technical University of Munich.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Bifeng Zhu & Manqi Ding & Xingwei Xiang & Chaoyang Sun & Xiaoqian Tian & Junfeng Yin, 2023. "Factors driving the implementation of the ‘Local New Year’ policy to prevent COVID-19 in China," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-10, December.
    2. Fatemeh Navazi & Yufei Yuan & Norm Archer, 2022. "The effect of the Ontario stay-at-home order on Covid-19 third wave infections including vaccination considerations: An interrupted time series analysis," PLOS ONE, Public Library of Science, vol. 17(4), pages 1-18, April.
    3. Rehak, Rainer & Kuhne, Christian R., 2022. "The Processing goes far beyond "the app" – Privacy issues of decentralized Digital Contact Tracing using the example of the German Corona-Warn-App," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, pages 16-20.
    4. Meng, Xin & Guo, Mingxue & Gao, Ziyou & Kang, Liujiang, 2023. "Interaction between travel restriction policies and the spread of COVID-19," Transport Policy, Elsevier, vol. 136(C), pages 209-227.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:plo:pone00:0254127. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.