Uncovering the Factors that Drive Vaccination Behaviors

In this line of work we employ various methods, from statistical analysis to novel survey design and implementation, aimed to improve our understanding of vaccination decision making in the U.S., and the implications it carries for infectious disease risk. Work under this project include population-level modeling to identify the factors associated with geographic vaccination coverage rates, as well as the development of statistical and LLM-based frameworks to predict individual level vaccination choice as a function of socio-demographics, trust, attitudes, beliefs, and media preferences. This line of research also includes building models to project the risk of disease as a function of vaccine hesitancy.