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Impact of COVID-19 forecast visualizations on pandemic risk perceptions
People worldwide use SARS-CoV-2 (COVID-19) visualizations to make life and death decisions about pandemic risks. Understanding how these visualizations influence risk perceptions to improve pandemic communication is crucial. To examine how COVID-19 visualizations influence risk perception, we conduc...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8821632/ https://www.ncbi.nlm.nih.gov/pubmed/35132079 http://dx.doi.org/10.1038/s41598-022-05353-1 |
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author | Padilla, Lace Hosseinpour, Helia Fygenson, Racquel Howell, Jennifer Chunara, Rumi Bertini, Enrico |
author_facet | Padilla, Lace Hosseinpour, Helia Fygenson, Racquel Howell, Jennifer Chunara, Rumi Bertini, Enrico |
author_sort | Padilla, Lace |
collection | PubMed |
description | People worldwide use SARS-CoV-2 (COVID-19) visualizations to make life and death decisions about pandemic risks. Understanding how these visualizations influence risk perceptions to improve pandemic communication is crucial. To examine how COVID-19 visualizations influence risk perception, we conducted two experiments online in October and December of 2020 (N = 2549) where we presented participants with 34 visualization techniques (available at the time of publication on the CDC’s website) of the same COVID-19 mortality data. We found that visualizing data using a cumulative scale consistently led to participants believing that they and others were at more risk than before viewing the visualizations. In contrast, visualizing the same data with a weekly incident scale led to variable changes in risk perceptions. Further, uncertainty forecast visualizations also affected risk perceptions, with visualizations showing six or more models increasing risk estimates more than the others tested. Differences between COVID-19 visualizations of the same data produce different risk perceptions, fundamentally changing viewers’ interpretation of information. |
format | Online Article Text |
id | pubmed-8821632 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-88216322022-02-09 Impact of COVID-19 forecast visualizations on pandemic risk perceptions Padilla, Lace Hosseinpour, Helia Fygenson, Racquel Howell, Jennifer Chunara, Rumi Bertini, Enrico Sci Rep Article People worldwide use SARS-CoV-2 (COVID-19) visualizations to make life and death decisions about pandemic risks. Understanding how these visualizations influence risk perceptions to improve pandemic communication is crucial. To examine how COVID-19 visualizations influence risk perception, we conducted two experiments online in October and December of 2020 (N = 2549) where we presented participants with 34 visualization techniques (available at the time of publication on the CDC’s website) of the same COVID-19 mortality data. We found that visualizing data using a cumulative scale consistently led to participants believing that they and others were at more risk than before viewing the visualizations. In contrast, visualizing the same data with a weekly incident scale led to variable changes in risk perceptions. Further, uncertainty forecast visualizations also affected risk perceptions, with visualizations showing six or more models increasing risk estimates more than the others tested. Differences between COVID-19 visualizations of the same data produce different risk perceptions, fundamentally changing viewers’ interpretation of information. Nature Publishing Group UK 2022-02-07 /pmc/articles/PMC8821632/ /pubmed/35132079 http://dx.doi.org/10.1038/s41598-022-05353-1 Text en © The Author(s) 2022, corrected publication 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Padilla, Lace Hosseinpour, Helia Fygenson, Racquel Howell, Jennifer Chunara, Rumi Bertini, Enrico Impact of COVID-19 forecast visualizations on pandemic risk perceptions |
title | Impact of COVID-19 forecast visualizations on pandemic risk perceptions |
title_full | Impact of COVID-19 forecast visualizations on pandemic risk perceptions |
title_fullStr | Impact of COVID-19 forecast visualizations on pandemic risk perceptions |
title_full_unstemmed | Impact of COVID-19 forecast visualizations on pandemic risk perceptions |
title_short | Impact of COVID-19 forecast visualizations on pandemic risk perceptions |
title_sort | impact of covid-19 forecast visualizations on pandemic risk perceptions |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8821632/ https://www.ncbi.nlm.nih.gov/pubmed/35132079 http://dx.doi.org/10.1038/s41598-022-05353-1 |
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