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.
Open Forum Infect Dis
; 9(9): ofac446, 2022 Sep.
Article
in English
| MEDLINE | ID: covidwho-2037502
ABSTRACT
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 clinical/public health outreach toward specific subpopulations.
Full text:
Available
Collection:
International databases
Database:
MEDLINE
Type of study:
Experimental Studies
/
Prognostic study
/
Randomized controlled trials
Topics:
Vaccines
Language:
English
Journal:
Open Forum Infect Dis
Year:
2022
Document Type:
Article
Affiliation country:
Ofid
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