Interpreting time-series COVID data: reasoning biases, risk perception, and support for public health measures

Abstract Effective risk communication during the COVID-19 pandemic is critical for encouraging appropriate public health behaviors. One way that the public is informed about COVID-19 numbers is through reports of daily new cases. However, presenting daily cases has the potential to lead to a dynamic...

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Bibliographic Details
Main Authors: Jason L. Harman, Justin M. Weinhardt, James W. Beck, Ivy Mai
Format: Article
Language:English
Published: Nature Publishing Group 2021-08-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-021-95134-z