We dichotomized the responses to the job classification question into professional and technical/support categories. Questions about likelihood of reporting to work and pandemic influenza-related attitudes and beliefs were dichotomized into responses with a score two or less, and all other responses. We used logistic regression to compute Odds Ratios to evaluate the association of demographic variables and attitudes and beliefs with selfdescribed likelihood of reporting to work. We used multivariate logistic regression to explore associations between attitudes and beliefs related to pandemic influenza preparedness and self-described likelihood of reporting to work. The model included adjustment for age, gender, and job classification. Similarly, we used bivariate and multivariate (adjusted for age, gender, and job classification) logistic regression models to evaluate the association between the various attitudes and beliefs. In order to assess non-response bias, we compared age, gender, and job classification distributions for the respondents and for all health department personnel.