Using a Cloud-Based Machine Learning Classification Tree Analysis to Understand the Demographic Characteristics Associated With COVID-19 Booster Vaccination Among Adults in the United States

A tree model identified adults age ≤34 years, Johnson & Johnson primary series recipients, people from racial/ethnic minority groups, residents of nonlarge metro areas, and those living in socially vulnerable communities in the South as less likely to be boosted. These findings can guide clinica...

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Detalles Bibliográficos
Autores principales: Meng, Lu, Fast, Hannah E, Saelee, Ryan, Zell, Elizabeth, Murthy, Bhavini Patel, Murthy, Neil Chandra, Lu, Peng-Jun, Shaw, Lauren, Harris, LaTreace, Gibbs-Scharf, Lynn, Chorba, Terence
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Brief Report
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9452182/
https://www.ncbi.nlm.nih.gov/pubmed/36131845
http://dx.doi.org/10.1093/ofid/ofac446

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9452182/
https://www.ncbi.nlm.nih.gov/pubmed/36131845
http://dx.doi.org/10.1093/ofid/ofac446

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