Exposure to Common Geographic COVID-19 Prevalence Maps and Public Knowledge, Risk Perceptions, and Behavioral Intentions | Shared Decision Making and Communication | JN Learning | AMA Ed Hub [Skip to Content]
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Exposure to Common Geographic COVID-19 Prevalence Maps and Public Knowledge, Risk Perceptions, and Behavioral Intentions

Educational Objective
To identify the key insights or developments described in this article
1 Credit CME

Several organizations have produced maps showing the prevalence of confirmed coronavirus disease 2019 (COVID-19) cases across the United States, but there is limited data on what map features are most effective at informing the public about infectious disease risk and motivating engagement with recommended health behaviors.1 We assessed the association of 6 different COVID-19 maps with knowledge, risk perceptions, and behavioral intentions.

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CME Disclosure Statement: Unless noted, all individuals in control of content reported no relevant financial relationships. If applicable, all relevant financial relationships have been mitigated.

Article Information

Accepted for Publication: November 23, 2020.

Published: January 6, 2021. doi:10.1001/jamanetworkopen.2020.33538

Open Access: This is an open access article distributed under the terms of the CC-BY License. © 2021 Thorpe A et al. JAMA Network Open.

Corresponding Author: Angela Fagerlin, PhD, Department of Population Health Sciences, School of Medicine, University of Utah, 295 Chipeta Way, Williams Bldg, Room 1N410, Salt Lake City, UT 84108 (angie.fagerlin@hsc.utah.edu).

Author Contributions: Dr Thorpe had full access to all of the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis.

Concept and design: All authors.

Acquisition, analysis, or interpretation of data: Thorpe, A. M. Scherer, Han, L. Scherer, Fagerlin.

Drafting of the manuscript: Thorpe, L. Scherer.

Critical revision of the manuscript for important intellectual content: Thorpe, A. M. Scherer, Han, Burpo, Shaffer, Fagerlin.

Statistical analysis: Thorpe.

Administrative, technical, or material support: L. Scherer.

Supervision: Han, Fagerlin.

Conflict of Interest Disclosures: None reported.

Funding/Support: Dr Thorpe was supported by grant No. 51300302 from the American Heart Association Children’s Strategically Focused Research Network fellowship.

Role of the Funder/Sponsor: The funder had no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the manuscript; and decision to submit the manuscript for publication.

Additional Contributions: Karina Pritchett, BA (Department of Population Health Sciences, School of Medicine, University of Utah), assisted with development of the maps and was not compensated for this work.

References
1.
Fagerlin  A , Valley  TS , Scherer  AM , Knaus  M , Das  E , Zikmund-Fisher  BJ .  Communicating infectious disease prevalence through graphics: results from an international survey.   Vaccine. 2017;35(32):4041-4047. doi:10.1016/j.vaccine.2017.05.048PubMedGoogle ScholarCrossref
2.
The White House. The president’s coronavirus guidelines for America: 30 days to slow the spread. Accessed August 7, 2020. https://www.whitehouse.gov/wp-content/uploads/2020/03/03.16.20_coronavirus-guidance_8.5x11_315PM.pdf
3.
Holm  S .  A simple sequentially rejective multiple test procedure.   Scand J Stat. 1979;6(9):65-70.Google Scholar
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