Record Details

Replication Data for: Social Capital's Impact on COVID-19 Outcomes at Local Levels

Harvard Dataverse (Africa Rice Center, Bioversity International, CCAFS, CIAT, IFPRI, IRRI and WorldFish)

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Title Replication Data for: Social Capital's Impact on COVID-19 Outcomes at Local Levels
 
Identifier https://doi.org/10.7910/DVN/OSVCRC
 
Creator Fraser, Timothy
Courtney Page-Tan
Daniel P. Aldrich
 
Publisher Harvard Dataverse
 
Description Over the past thirty years, disaster scholars have highlighted that communities with stronger social infrastructure - including social ties that enable trust, mutual aid, and collective action - tend to respond to and recover better from crisis. However, comprehensive measurements of social capital across communities have been rare. This study adapts Kyne and Aldrich’s (2019) county-level social capital index to the census-tract level, generating social capital indices from 2011 to 2018 at the census-tract, zipcode, and county subdivision levels. To demonstrate their usefulness to disaster planners, public health experts, and local officials, we paired these with the CDC’s Social Vulnerability Index to predict the incidence of COVID-19 in case studies in Massachusetts, Wisconsin, Illinois, and New York City. We found that social capital and social vulnerability predicted as much as 95% of the variation in COVID outbreaks, highlighting their power as diagnostic and predictive tools for combating the spread of COVID.
 
Subject Earth and Environmental Sciences
Medicine, Health and Life Sciences
Social Sciences
social capital
resilience
disaster
pandemic
governance
bonding
bridging
linking
GIS
cities
 
Language English
 
Date 2022-04-10
 
Contributor Fraser, Timothy