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Social capital, urbanization level, and COVID-19 vaccination uptake in the United States: A national level analysis
Shan Qiao; Zhenlong Li; Jiajia Zhang; Xiaowen Sun; Camryn Garrett; Xiaoming Li.
Afiliação
  • Shan Qiao; University of South Carolina
  • Zhenlong Li; University of South Carolina
  • Jiajia Zhang; University of South Carolina
  • Xiaowen Sun; University of South Carolina
  • Camryn Garrett; University of South Carolina
  • Xiaoming Li; University of South Carolina
Preprint em Inglês | medRxiv | ID: ppmedrxiv-22271917
ABSTRACT
Vaccination remains the most promising mitigation strategy for the COVID-19 pandemic. However, existing literature shows significant disparities in vaccination uptake in the United States. Using publicly available national-level data, we aimed to explore if county-level social capital can further explain disparities in vaccination uptake rate adjusting for demographic and social determinants of health (SDOH) variables; and if association between social capital and vaccination uptake may vary by urbanization level. Bivariate analyses and hierarchical multivariable quasi-binomial regression analysis were conducted, then the regression analysis was stratified by urban-rural status. The current study suggests that social capital contributes significantly to the disparities of vaccination uptake in the US. The results of stratification analysis show common predictors of vaccine uptake but also suggest various patterns based on urbanization level regarding the associations of COVID-19 vaccination uptake with SDOH and social capital factors. The study provides a new perspective to address disparities in vaccination uptake through fostering social capital within communities, which may inform tailored public health intervention efforts in enhancing social capital and promoting vaccination uptake.
Licença
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Texto completo: Disponível Coleções: Preprints Base de dados: medRxiv Tipo de estudo: Estudo prognóstico Idioma: Inglês Ano de publicação: 2022 Tipo de documento: Preprint
Texto completo: Disponível Coleções: Preprints Base de dados: medRxiv Tipo de estudo: Estudo prognóstico Idioma: Inglês Ano de publicação: 2022 Tipo de documento: Preprint
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