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Understanding of Numerical Information during the COVID-19 Pandemic
Laura Zamarian1, Katharina M-A Fürstenberg2, Nadia Gamboz3
1Department of Neurology, Medical University of Innsbruck, 6020 Innsbruck, Austria.
Brain Sciences
|September 28, 2021
Summary
Understanding complex COVID-19 numerical information is challenging for many. Lower reflective thinking and numeracy skills increase difficulties, highlighting the need for clearer public health communication.
Area of Science:
- Cognitive Psychology
- Public Health Communication
- Health Literacy
Background:
- The Coronavirus Disease 2019 (COVID-19) pandemic frequently involved complex numerical data in media reports.
- Understanding these numerical concepts (e.g., exponential growth, reproduction number) is crucial for public health awareness.
Purpose of the Study:
- To investigate difficulties in understanding COVID-19 related numerical information.
- To examine the relationship between these difficulties and numerical competence, reflective thinking, and risk proneness.
Main Methods:
- 163 participants completed a COVID-19 specific numeracy scale (COV Numeracy Scale).
- Participants also underwent objective and subjective assessments of numeracy, cognitive reflection (Cognitive Reflection Test - CRT), and risk proneness.
- Data on affective states and COVID-19 information seeking were collected.
Main Results:
- Higher COV Numeracy Scale scores correlated with better performance on health numeracy, CRT, and self-assessed cognitive abilities.
- COV Numeracy Scale scores positively correlated with the number of consulted information sources.
- Accuracy in the CRT significantly predicted COV Numeracy Scale scores, accounting for approximately 14% of the variance.
Conclusions:
- Individuals with lower reflective thinking and numeracy skills face greater challenges comprehending COVID-19 numerical information.
- This disparity can disadvantage individuals in navigating public health information during pandemics.
- Findings emphasize the need for cautious and clear communication of complex numerical data in public health messaging.
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