State-, County-, and Individual-Level Factors Associated with Influenza Vaccination Coverage Among Adults Based on a Multilevel Modeling Approach, BRFSS 2015

• Activity Number: 534 - Contributed Poster Presentations: Section on Statistics in Epidemiology
• Type: Contributed
• Date/Time: Wednesday, August 1, 2018 : 10:30 AM to 12:20 PM
• Sponsor: Section on Statistics in Epidemiology
• Author(s): Alissa O'Halloran* and Pengjun Lu and Anup Srivastav and David Yankey and Walter Williams and James Singleton
• Companies: CDC and CDC/NCIRD/ISD/AB and Leidos and Centers for Disease Control and Prevention and CDC and CDC
• Keywords: Influenza; Influenza vaccination; Adult vaccination; Multilevel model

Abstract

Influenza vaccination coverage among adults varies widely by state, but specific reasons for variation have not been studied. An assessment of the association of state- and county-level factors with influenza vaccination may provide useful information to vaccination programs, public health researchers, and policy makers. We will use a multilevel model to investigate individual-, state-, and county-level factors associated with influenza vaccination among U.S. adults using data from the 2015 Behavioral Risk Factor Surveillance System, the Department of Health and Human Services 2015-2016 Area Resource File, the Centers for Disease Control and Prevention's 2015 Adult Immunization Progress Report, and Pharmvax, a 50-state legal assessment of pharmacist vaccination authority compiled by CDC's Public Health Law Program. SAS GLIMMIX will be used for multilevel modeling and state-, county-, and individual-level covariates will be treated as fixed effects. State and county of residence will be included as random effects. These findings may provide local public health officials relevant data to assist in making program and policy decisions.