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Title: Replication Data for: Comparison of Knowledge and Information-Seeking Behavior After General COVID-19 Public Health Messages and Messages Tailored for Black and Latinx Communities: A randomized controlled trial

Type Dataset Marcella Alsan, Fatima Cody Stanford, Abhijit Banerjee, Emily Breza, Arun G. Chandrasekhar, Sarah Eichmeyer, Paul Goldsmith-Pinkham, Lucy Ogbu-Nwobodo, Benjamin A. Olken, Carlos Torres, Anirudh Sankar, Pierre-Luc Vautrey, Esther Duflo (2020): Replication Data for: Comparison of Knowledge and Information-Seeking Behavior After General COVID-19 Public Health Messages and Messages Tailored for Black and Latinx Communities: A randomized controlled trial. Harvard Dataverse. Dataset. https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/CJPVOD

Authors: Marcella Alsan (Harvard Kennedy School of Government) ; Fatima Cody Stanford (Massachusetts General Hospital; Harvard Medical School) ; Abhijit Banerjee (Massachusetts Institute of Technology) ; Emily Breza (Harvard University) ; Arun G. Chandrasekhar (Stanford University) ; Sarah Eichmeyer (Stanford University) ; Paul Goldsmith-Pinkham (Yale University) ; Lucy Ogbu-Nwobodo (Harvard Medical School; Massachusetts General Hospital; McLean Hospital) ; Benjamin A. Olken (Massachusetts Institute of Technology) ; Carlos Torres (Harvard Medical School; Massachusetts General Hospital for Children) ; Anirudh Sankar (Stanford University) ; Pierre-Luc Vautrey (Massachusetts Institute of Technology) ; Esther Duflo (Massachusetts Institute of Technology) ; Anirudh Sankar (Stanford University) ; Pierre-Luc Vautrey (Massachusetts Institute of Technology) ;

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Summary

This package contains replication data for: "Comparison of knowledge and intended behaviors following general COVID-19 public health messages and messages tailored for African American and Latinx communities: A randomized controlled trial." The data includes 1 raw dataset (except for removing a Zip code variable, as well as a free-response to prior medical conditions, for anonymity) containing data from one online Qualtrics survey that was conducted in 1 round with 15,475 observations from May 13, 2020 to May 24, 2020. The code, produced in R, contains both cleaning and analysis code. For further details on the data or how to run the code, please see the readme file. The abstract of the paper is as follows: Background: There is concern that the paucity of public health messages that directly address communities of color might contribute to racial ethnic disparities in COVID-19-related knowledge, behaviors, and outcomes. Objective: To determine if video public health messages differ in their influence, knowledge and intended behaviors of African American and Latinx individuals according to the race/ethnicity of the physician delivering the message and the content of the message. Design: Randomized controlled trial. Setting: United States May 13 2020-May 24 2020 Participants: 14,267 self-identified African American or Latinx adults recruited via Lucid survey platform. Intervention: Participants viewed 3 video messages about COVID-19 that varied by physician race/ethnicity, acknowledgement of racism/inequality, and community perceptions of mask-wearing. Measurements: Knowledge gaps (measured by lack of recognition of key COVID-19 symptoms, preventive behaviors or asymptomatic transmission) and intended behavior, measured by links demanded for prevention information.

More information

  • DOI: 10.7910/DVN/CJPVOD

Subjects

  • Medicine, Health and Life Sciences, Social Sciences

Dates

  • Publication date: 2020
  • Submitted: October 28, 2020
  • Updated: October 12, 2021

Notes

Other: The files are restricted access until the associated paper, "Comparison of knowledge and intended behaviors following general COVID-19 public health messages and messages tailored for African American and Latinx communities: A randomized controlled trial" is published.

Rights


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Format

electronic resource