Vaccine hesitancy is a serious threat to global health; however, significant COVID-19 vaccine hesitancy exists throughout the United States. The 5C model, which postulates five person-level determinants for vaccine hesitancy - confidence, complacency, constraints, risk calculation, and collective responsibility - provides one theoretical way of understanding COVID-19 vaccine hesitancy. The present study examined the effects of these 5C drivers of vaccine behavior on early vaccine adoption and vaccine intentions above and beyond theoretically salient demographic characteristics and compared these associations across a National sample (n = 1634) and a statewide sample from South Carolina (n = 784) - a state with documented low levels of COVID-19 vaccination uptake. This study used quantitative and qualitative data collected in October 2020 to January 2021 from the MFour-Mobile Research Panel, a large, representative non-probability sample of adult smartphone users. Overall, the South Carolina sample reported lower COVID-19 vaccine intentions and higher levels of 5C barriers to vaccine uptake compared to the National sample. Findings further indicated that both demographic characteristics (race) and certain drivers of vaccine behavior (confidence and collective responsibility) are associated with vaccine trust and intentions across samples above and beyond other variables. Qualitative data indicated that COVID-19 vaccine hesitancy was driven by fears about the quick vaccine development, limited research, and potential side effects. Although there are some limitations to the cross-sectional survey data, the present study offers valuable insight into factors associated with early COVID-19 vaccine hesitancy across the United States.
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http://dx.doi.org/10.1016/j.jpsychires.2023.02.018 | DOI Listing |
J Dent Sci
January 2025
Department of Stomatology, Taichung Veterans General Hospital, Taichung, Taiwan.
Background/purpose: COVID-19 vaccines are supplied at no-cost to residents as a measure to prevent comorbidities, fatalities, and the increased risk of community transmission, thus protecting public health systems. However, vaccine acceptance among cancer patients remained uncertain. This study aimed to elucidate the vaccination rates among oral cancer patients at a medical center in Taiwan.
View Article and Find Full Text PDFFront Glob Womens Health
January 2025
Institute for Global Health, University of Siena, Siena, Italy.
Sci Rep
January 2025
Department of Global Health Research, Graduate School of Medicine, Juntendo University, Tokyo, Japan.
Background: Maintaining the physical and psychological well-being of healthcare workers (HCWs) is crucial for health system resilience. In sub-Saharan Africa, particularly Uganda, HCWs faced significant challenges during the coronavirus disease 2019 (COVID-19) pandemic, compounded by pre-existing resource constraints. This study investigated challenges faced by HCWs at a designated COVID-19 hospital ('the Hospital') and explored determinants of maintaining healthcare personnel's motivation during the COVID-19 pandemic in Uganda.
View Article and Find Full Text PDFJ Dr Nurs Pract
January 2025
College of Nursing, Michigan State University, East Lansing, MI, USA.
Individuals experience vaccination hesitancy for many reasons. However, not receiving vaccinations leaves individuals at increased risk for vaccine-preventable illnesses. Individuals in rural areas are more likely to experience vaccine hesitancy.
View Article and Find Full Text PDFRisk Manag Healthc Policy
January 2025
School of Public Health, Gudie University Project, Kampala, Uganda.
Aim: This study examined citizens' knowledge and compliance with COVID-19 standard operating procedures (SOPs), vaccine acceptance and hesitancy, and factors that could influence these behaviors.
Methods: The study that utilised the Lot Quality Assurance Sampling (LQAS) approach was conducted in eight districts of Central Uganda; Kiboga, Kyankwanzi, Mubende, Kasanda, Mityana, Luwero, Nakaseke, and Nakasongola districts. Each district was divided into five supervision areas (SAs).
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