Social network characteristics of COVID-19 vaccination and preventive health behaviors: Cross-sectional findings from the US northeast during the early COVID-19 pandemic

Abstract

Background

The link between individuals’ vaccine attitudes and their social networks has been widely studied, but less is known about how these networks impact broader health behaviors like precautionary measures during the COVID-19 pandemic.

Methods

Egocentric social network data were collected from June 7–21, 2021, via an online survey by researchers based at the Brown University School of Public Health. The sample (n = 173) was recruited through Amazon’s Mechanical Turk in Connecticut, Massachusetts, New Jersey, New York, and Rhode Island. Participants reported their COVID-19 precautionary behaviors and those of up to 5 of their closest social network contacts (SNCs, n = 851). The primary outcome was the mean of 13 CDC-recommended precautionary behaviors (PBS). Covariates included SNCs’ COVID-19 testing, hospitalization, vaccination, disease experiences, social distancing adherence, and encouragement of participants’ testing and vaccination. Associations between PBS and SNC attributes were assessed using chi-square tests, t-tests, and Generalized Estimating Equations (GEE).

Results

Eighty percent of participants had received at least one vaccine dose. The PBS ranged from 0.38 to 3.00 (M = 2.3) and was positively associated with SNCs’ adherence to social distancing guidelines (0.33, p < 0.001), encouragement of social distancing (0.33, p < 0.001), encouragement of vaccination (0.25, p = 0.001), mask-wearing behavior (0.20, p = 0.008), receiving the vaccine (0.20, p = 0.01), and encouragement of testing (0.17, p < 0.05).

Discussion

The clustering of precautionary behaviors in social networks highlights the potential of leveraging these networks to promote public health interventions. The identification of clusters of unprotected communities at risk underscores the need to address disparities and integrate interpersonal factors into future pandemic responses.