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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Autores principales: | Jason L. Harman, Justin M. Weinhardt, James W. Beck, Ivy Mai |
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Formato: | article |
Lenguaje: | EN |
Publicado: |
Nature Portfolio
2021
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Materias: | |
Acceso en línea: | https://doaj.org/article/162c37565c864d5bb418849a930adc93 |
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