IDEAS home Printed from https://ideas.repec.org/p/iza/izadps/dp14365.html
   My bibliography  Save this paper

The Design of Disease Maps Shapes Perceptions of Threat and Public Policy Preferences

Author

Listed:
  • Engel, Claudia

    (Stanford University)

  • Rodden, Jonathan

    (Stanford University)

  • Tabellini, Marco

    (Harvard Business School)

Abstract

Choropleth disease maps have become the main tool for communicating information about the geography of health threats to the public. These maps have the potential to shape perceptions of threat, preferences about policy, and perhaps even behavior, but they are unfortunately often poorly designed and misleading. In a large survey of residents of the U.S. state of Georgia conducted in June 2020, we randomly assigned respondents to view one of two maps produced in the spring of 2020 by the Georgia Department of Public Health. The first is a map of county-level COVID case counts, which generated the false perception that the COVID threat was concentrated almost exclusively in the Atlanta metro area. The second is a map of the case rate per 100,000 people, which clarified that the virus was widespread in much of Georgia. Those who saw the second map were less likely to consider the virus as an urban problem, and more likely to perceive it as a concern for Georgia and its economy. Moreover, respondents from non-metro areas who saw the case rate map were more concerned that they, their friends, or community members might contract the virus. Respondents who saw the case rate map also expressed greater support for policies aimed at mitigating the virus – an effect driven by self-identified Republicans, who were far more skeptical about public health measures to mitigate the spread of the virus in general.

Suggested Citation

  • Engel, Claudia & Rodden, Jonathan & Tabellini, Marco, 2021. "The Design of Disease Maps Shapes Perceptions of Threat and Public Policy Preferences," IZA Discussion Papers 14365, Institute of Labor Economics (IZA).
  • Handle: RePEc:iza:izadps:dp14365
    as

    Download full text from publisher

    File URL: https://docs.iza.org/dp14365.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. John M. Barrios & Yael Hochberg, 2020. "Risk Perception Through the Lens of Politics in the Time of the COVID-19 Pandemic," NBER Working Papers 27008, National Bureau of Economic Research, Inc.
    2. Allcott, Hunt & Boxell, Levi & Conway, Jacob & Gentzkow, Matthew & Thaler, Michael & Yang, David, 2020. "Polarization and public health: Partisan differences in social distancing during the coronavirus pandemic," Journal of Public Economics, Elsevier, vol. 191(C).
    3. Levi Boxell & Matthew Gentzkow & Jesse M. Shapiro, 2024. "Cross-Country Trends in Affective Polarization," The Review of Economics and Statistics, MIT Press, vol. 106(2), pages 557-565, March.
    4. Vincenzo Galasso & Vincent Pons & Paola Profeta & Michael Becher & Sylvain Brouard & Martial Foucault, 2020. "Gender Differences in COVID-19 Related Attitudes and Behavior: Evidence from a Panel Survey in Eight OECD Countries," SciencePo Working papers Main hal-03594437, HAL.
    5. Bursztyn, Leonardo & Rao, Akaash & Roth, Christopher & Yanagizawa-Drott, David, 2020. "Misinformation during a Pandemic," The Warwick Economics Research Paper Series (TWERPS) 1274, University of Warwick, Department of Economics.
    Full references (including those not matched with items on IDEAS)

    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. Maxim Ananyev & Michael Poyker & Yuan Tian, 2021. "The safest time to fly: pandemic response in the era of Fox News," Journal of Population Economics, Springer;European Society for Population Economics, vol. 34(3), pages 775-802, July.
    2. Abel Brodeur & David Gray & Anik Islam & Suraiya Bhuiyan, 2021. "A literature review of the economics of COVID‐19," Journal of Economic Surveys, Wiley Blackwell, vol. 35(4), pages 1007-1044, September.
    3. Coibion, Olivier & Gorodnichenko, Yuriy & Weber, Michael, 2020. "The Cost of the COVID-19 Crisis: Lockdowns, Macroeconomic Expectations, and Consumer Spending," Department of Economics, Working Paper Series qt4jn1x65h, Department of Economics, Institute for Business and Economic Research, UC Berkeley.
    4. Egorov, Georgy & Enikolopov, Ruben & Makarin, Alexey & Petrova, Maria, 2021. "Divided we stay home: Social distancing and ethnic diversity," Journal of Public Economics, Elsevier, vol. 194(C).
    5. Rafkin, Charlie & Shreekumar, Advik & Vautrey, Pierre-Luc, 2021. "When guidance changes: Government stances and public beliefs," Journal of Public Economics, Elsevier, vol. 196(C).
    6. Khan, Adnan & Nasim, Sanval & Shaukat, Mahvish & Stegmann, Andreas, 2021. "Building trust in the state with information: Evidence from urban Punjab," Journal of Public Economics, Elsevier, vol. 202(C).
    7. J Anthony Cookson & Joseph E Engelberg & William Mullins & Hui Chen, 0. "Does Partisanship Shape Investor Beliefs? Evidence from the COVID-19 Pandemic," The Review of Asset Pricing Studies, Society for Financial Studies, vol. 10(4), pages 863-893.
    8. Nicolás Ajzenman & Tiago Cavalcanti & Daniel Da Mata, 2023. "More than Words: Leaders' Speech and Risky Behavior during a Pandemic," American Economic Journal: Economic Policy, American Economic Association, vol. 15(3), pages 351-371, August.
    9. Cook, Jonathan & Newberger, Noah & Smalling, Sami, 2020. "The spread of social distancing," Economics Letters, Elsevier, vol. 196(C).
    10. Fuest, Clemens & Immel, Lea & Neumeier, Florian & Peichl, Andreas, 2023. "Does expert information affect citizens’ attitudes toward Corona policies? Evidence from Germany," European Journal of Political Economy, Elsevier, vol. 78(C).
    11. Faia, Ester & Pezone, Vincenzo & Zafar, Basit, 2021. "Biases in Information Selection and Processing: Survey Evidence from the Pandemic," CEPR Discussion Papers 15774, C.E.P.R. Discussion Papers.
    12. Painter, Marcus & Qiu, Tian, 2021. "Political beliefs affect compliance with government mandates," Journal of Economic Behavior & Organization, Elsevier, vol. 185(C), pages 688-701.
    13. Lea-Rachel Kosnik & Allen Bellas, 2020. "Drivers of COVID-19 Stay at Home Orders: Epidemiologic, Economic, or Political Concerns?," Economics of Disasters and Climate Change, Springer, vol. 4(3), pages 503-514, October.
    14. Milosh, Maria & Painter, Marcus & Sonin, Konstantin & Van Dijcke, David & Wright, Austin L., 2021. "Unmasking partisanship: Polarization undermines public response to collective risk," Journal of Public Economics, Elsevier, vol. 204(C).
    15. Nicolás Ajzenman & Tiago Cavalcanti & Daniel Da Mata, 2020. "More than Words: Leaders' Speech and Risky Behavior During a Pandemic," Department of Economics Working Papers wp_gob_2020_03, Universidad Torcuato Di Tella.
    16. Mike Lindow & David DeFranza & Arul Mishra & Himanshu Mishra, 2021. "Scared into Action: How Partisanship and Fear are Associated with Reactions to Public Health Directives," Papers 2101.05365, arXiv.org.
    17. Sandra Aguilar-Gomez & Eva O. Arceo-Gomez & Elia De la Cruz Toledo & Pedro J. Torres López, 2021. "Leadership, public health messaging, and containment of mobility in Mexico during the COVID-19 pandemic," Documentos de Trabajo 18893, The Latin American and Caribbean Economic Association (LACEA).
    18. Paolo Nicola Barbieri & Beatrice Bonini, 2021. "Political orientation and adherence to social distancing during the COVID-19 pandemic in Italy," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 38(2), pages 483-504, July.
    19. Mariani, Lucas Argentieri & Gagete-Miranda, Jessica & Rettl, Paula, 2020. "Words can hurt: how political communication can change the pace of an epidemic," OSF Preprints ps2wx, Center for Open Science.
    20. Andrey Simonov & Szymon Sacher & Jean-Pierre Dubé & Shirsho Biswas, 2022. "Frontiers: The Persuasive Effect of Fox News: Noncompliance with Social Distancing During the COVID-19 Pandemic," Marketing Science, INFORMS, vol. 41(2), pages 230-242, March.

    More about this item

    Keywords

    COVID-19; policy; maps; public health;
    All these keywords.

    JEL classification:

    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
    • I38 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Government Programs; Provision and Effects of Welfare Programs

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:iza:izadps:dp14365. 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: Holger Hinte (email available below). General contact details of provider: https://edirc.repec.org/data/izaaade.html .

    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.