This study examines the factors driving the spread of COVID-19 in the U.S. and how social learning mechanisms have amplified the effect of people's experiences with the pandemic, deepening political divides. Statistical models reveal that the primary drivers relate to the presence of vectors and transmission probability, but the relationship between these drivers and COVID-19 deaths is weaker outside the New York metropolitan area. The paper explores how differing experiences of the pandemic, based on urban vs. rural environments, shaped adaptive somatic efforts that have exacerbated existing political divisions. It concludes with recommendations for using social learning theory to improve pandemic response strategies.
Publisher
HUMANITIES AND SOCIAL SCIENCES COMMUNICATIONS
Published On
Feb 04, 2021
Authors
Lawrence A. Kuznar
Tags
COVID-19
social learning
political divides
urban vs. rural
pandemic response
transmission probability
adaptive efforts
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