Modeling H1N1 Vaccination Rates

• Activity Number: 419
• Type: Contributed
• Date/Time: Tuesday, August 3, 2010 : 2:00 PM to 3:50 PM
• Sponsor: Section on Survey Research Methods
• Author(s): Nadarajasundaram Ganesh and James A. Singleton and Kennon R. Copeland*+ and Tammy Santibanez and Nicholas Davis
• Companies: NORC and National Center for Immunization and Respiratory Diseases and NORC and National Center for Immunization and Respiratory Diseases and NORC
• Keywords: Interval Censoring ; National Immunization Survey ; Survival Analysis

Abstract

The National 2009 H1N1 Flu Survey, a RDD landline and cellular telephone survey that operated from October 2009 through June 2010 by NORC for the Centers for Disease Control and Prevention, tracked H1N1 (and seasonal influenza) vaccination coverage nationally on a weekly basis. National-level direct estimates for various socio-demographic groups and geographies were produced weekly based on a rolling sample of respondents. To reduce variability of estimates and trends, we estimated H1N1 vaccination rates using a survival analysis approach. In this paper, we consider parametric and non-parametric models with date of vaccination either interval censored or imputed, and we evaluate our models to select the "best" model that fits the data.