An optimized machine learning model for identifying socio-economic, demographic and health-related variables associated with low vaccination levels that vary across ZIP codes in California

There is an urgent need for an in-depth and systematic assessment of a wide range of predictive factors related to populations most at risk for delaying and refusing COVID-19 vaccination as cases of the disease surge across the United States. Many studies have assessed a limited number of general so...

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Detalles Bibliográficos
Autores principales: Avirappattu, George, Pach III, Alfred, Locklear, Clarence E., Briggs, Anthony Q.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2022
Materias:
Regular Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9186792/
https://www.ncbi.nlm.nih.gov/pubmed/35706686
http://dx.doi.org/10.1016/j.pmedr.2022.101858

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9186792/
https://www.ncbi.nlm.nih.gov/pubmed/35706686
http://dx.doi.org/10.1016/j.pmedr.2022.101858

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