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Bridging social capital describes the diffusion of information across networks built between individuals of different social identities. This project aims to understand if the bridging ties of economic connectedness (EC), measured by data from Facebook friends and calculated as the average share of high socioeconomic status friends that an individual from a low socioeconomic status has, can be a predictor of variations in COVID-19 infection risk across Arizona ZIP code tabulation areas (ZCTAs). Economic connectedness values across Arizona ZCTAs was examined in addition to the correlation of EC to various social and demographic factors such as age, sex, race and ethnicity, educational background, income, and health insurance coverage. A multiple linear regression model was conducted to examine the association of EC to biweekly COVID-19 growth rate from October 2020 to November 2021, and to examine the longitudinal trends in the association between these two factors. The study found that the bridging ties of economic connectedness has a significant effect size comparable to that of other demographic features, and has implications in being used to identify vulnerabilities and health disparities in communities during the pandemic.
- Boby, Maria (Author)
- Oh, Hyunsung (Thesis director)
- Marsiglia, Flavio (Committee member)
- Liu, Li (Committee member)
- Barrett, The Honors College (Contributor)
- School of Life Sciences (Contributor)
- School of Human Evolution & Social Change (Contributor)
- School of Social Work (Contributor)
- 2023-04-14 09:37:20
- 2023-04-21 06:07:50
- 1 year 7 months ago