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