Loading...
Date of Award
Spring 2025
Degree Name
Master of Medical Science (Physician Assistant)
Department
Physician Assistant; College of Health Sciences
First Advisor
Sophie Farley, PA-C
Abstract
Since its introduction in late 2020, the uptake of the COVID-19 vaccine has had the lowest rates in marginalized populations like minorities, elderly, and those of low socioeconomic status. Decreased rates of vaccination uptake in these groups has resulted in increased burden of disease and subsequently higher rates of hospitalization and death. Many inequities in poor COVID-19 health outcomes can be explained by examining common predictive factors that determine vaccination rates in these United States populations. This special article research aims to explore these various predictive factors with the goal to provide targeted strategies to boost COVID-19 vaccination rates, especially as the virus continues to evolve with new variants.
Recommended Citation
Wood, Alyea, "Structural and Interpersonal Determinants of COVID-19 Vaccine Uptake in Vulnerable Populations of the United States" (2025). Capstone Showcase. 77.
https://scholarworks.arcadia.edu/showcase/2025/pa/77
Included in
Community Health and Preventive Medicine Commons, COVID-19 Commons, Health Services Research Commons, Infectious Disease Commons, Public Health Education and Promotion Commons, Virus Diseases Commons
Structural and Interpersonal Determinants of COVID-19 Vaccine Uptake in Vulnerable Populations of the United States
Since its introduction in late 2020, the uptake of the COVID-19 vaccine has had the lowest rates in marginalized populations like minorities, elderly, and those of low socioeconomic status. Decreased rates of vaccination uptake in these groups has resulted in increased burden of disease and subsequently higher rates of hospitalization and death. Many inequities in poor COVID-19 health outcomes can be explained by examining common predictive factors that determine vaccination rates in these United States populations. This special article research aims to explore these various predictive factors with the goal to provide targeted strategies to boost COVID-19 vaccination rates, especially as the virus continues to evolve with new variants.