Objective: To improve identification of pertussis cases by developing a decision model that incorporates recent, local, population-level disease incidence.
Design: Retrospective cohort analysis of 443 infants tested for pertussis (2003-7).
Measurements: Three models (based on clinical data only, local disease incidence only, and a combination of clinical data and local disease incidence) to predict pertussis positivity were created with demographic, historical, physical exam, and state-wide pertussis data.
Background: Despite a decreasing incidence of listeriosis in the United States, molecular subtyping has increased the number of recognized outbreaks. In September 2000, the New York City Department of Health identified a cluster of infections caused by Listeria monocytogenes isolates with identical molecular subtypes by pulsed-field gel electrophoresis (PFGE) and ribotyping.
Methods: To determine the magnitude of the outbreak and identify risk factors for infection, we notified state health departments and conducted a case-control study.