A model for interval-censored tuberculosis outbreak data.
As the incidence of tuberculosis (TB) has increased in the United States, occupationally acquired TB has increased among the health care workers (HCWs). This paper describes a model developed in response to the needs of an outbreak of multidrug-resistant TB. One of the goals of the outbreak investigation was to estimate the risk of tuberculin skin test (TST) conversion as a function of HCW job type and the period during which persons were employed over the study period. TST conversions were evaluated at periodic examinations and data are interval-censored. We present a generalized linear model that extends Efron's survival model for censored survival data to the case of interval-censored data.
Smith
P J
PJ
Centers for Disease Control and Prevention, Division of Tuberculosis Elimination (E-10), Atlanta, GA 30333, USA.
Thompson
T J
TJ
Jereb
J A
JA
D015982:Bias; D004196:Disease Outbreaks; D006282:Health Personnel; D006801:Humans; D015994:Incidence; D016014:Linear Models; D015233:Models, Statistical; D009784:Occupational Diseases / Q000453:epidemiology*; D015203:Reproducibility of Results; D012307:Risk Factors; D016019:Survival Analysis; D013997:Time Factors; D018088:Tuberculosis, Multidrug-Resistant / Q000453:epidemiology*; D014481:United States / Q000453:epidemiology