Logarithmic versus Linear Visualizations of COVID-19 Cases Do Not Affect Citizens’ Support for Confinement

The SARS-CoV-2 virus was first identified in Wuhan, China, in late December 2019, and it quickly spread to many countries. By March 2020, the virus had triggered a global pandemic (World Health Organization, 2020). In response to this crisis, governments have implemented unprecedented public health...

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Detalles Bibliográficos
Autores principales: Sevi, Semra, Aviña, Marco Mendoza, Péloquin-Skulski, Gabrielle, Heisbourg, Emmanuel, Vegas, Paola, Coulombe, Maxime, Arel-Bundock, Vincent, Loewen, Peter John, Blais, André
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cambridge University Press 2020
Materias:
Research Note/Notes de recherche
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7200843/
http://dx.doi.org/10.1017/S000842392000030X
Descripción
Sumario:The SARS-CoV-2 virus was first identified in Wuhan, China, in late December 2019, and it quickly spread to many countries. By March 2020, the virus had triggered a global pandemic (World Health Organization, 2020). In response to this crisis, governments have implemented unprecedented public health measures. The success of these policies will largely depend on the public's willingness to comply with new rules. A key factor in citizens’ willingness to comply is their understanding of the data that motivate government action. In this study, we examine how different ways of presenting these data visually can affect citizen's perceptions, attitudes and support for public policy.

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