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Browsing by Author "Thompson, Esi E."
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Item Factors Associated with Reported Likelihood to Get Vaccinated for COVID-19 in a Nationally Representative US Survey(Elsevier, 2021-06) Agley, Jon; Xiao, Yunyu; Thompson, Esi E.; Golzarri-Arroyo, Lilian; School of Social WorkObjectives While general principles related to vaccination hesitancy have been well-researched, reports on reluctance to be vaccinated for COVID-19 in the US are somewhat surprising given the disease’s substantive disruption of everyday life. However, the landscape in which people are making COVID-19 vaccination decisions has recently evolved with releases of encouraging vaccine-related data and changes to official messaging about the virus. Therefore, this study sought to identify factors associated with reported likelihood to get vaccinated for COVID-19 among US adults in late January 2021. Study Design We used the Prolific online research panel to survey a nationally representative sample of 1,017 US adults. Methods Respondents were asked about their behavioral intentions toward COVID-19 vaccination, trust in science, perceptions related to COVID-19, and selected sociodemographic factors. We computed associations between those 11 independent variables and likelihood to get vaccinated for COVID-19 using multiple linear regression. Results Around 73.9% of respondents indicated at least some likelihood to get vaccinated for COVID-19. Trust in science and perceived seriousness of COVID-19 were positively associated, and identifying as Black or African American was negatively associated, with intention to get vaccinated. Other factors were moderately, weakly, or not at all associated with intention. Conclusions Building trust in science and truthfully emphasizing the seriousness of catching COVID-19 should be further researched for their potential to support campaigns to encourage COVID-19 vaccination. Data continue to suggest the importance of dialogue with Black communities about COVID-19 vaccination.Item Using infographics to improve trust in science: a randomized pilot test(BMC, 2021-05-29) Agley, Jon; Xiao, Yunyu; Thompson, Esi E.; Golzarri-Arroyo, Lilian; School of Social WorkThis study describes the iterative process of selecting an infographic for use in a large, randomized trial related to trust in science, COVID-19 misinformation, and behavioral intentions for non-pharmaceutical prevenive behaviors. Five separate concepts were developed based on underlying subcomponents of ‘trust in science and scientists’ and were turned into infographics by media experts and digital artists. Study participants (n = 100) were recruited from Amazon’s Mechanical Turk and randomized to five different arms. Each arm viewed a different infographic and provided both quantitative (narrative believability scale and trust in science and scientists inventory) and qualitative data to assist the research team in identifying the infographic most likely to be successful in a larger study.