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. 2022 Sep 1;9(9):ofac446. doi: 10.1093/ofid/ofac446. eCollection 2022 Sep.


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.

Keywords: COVID-19; COVID-19 vaccination; booster dose; coronavirus.