Using Cure Models to Estimate the Serial Interval of Tuberculosis With Limited Follow-up.

ABSTRACT: Serial interval (SI), defined as the time between symptom onset in an infector and infectee pair, is commonly used to understand infectious diseases transmission. Slow progression to active disease, as well as the small percentage of individuals who will eventually develop active disease, complicate the estimation of the SI for tuberculosis (TB). In this paper, we showed via simulation studies that when there is credible information on the percentage of those who will develop TB disease following infection, a cure model, first introduced by Boag in 1949, should be used to estimate the SI for TB. This model includes a parameter in the likelihood function to account for the study population being composed of those who will have the event of interest and those who will never have the event. W

SUBMITTER: Ma Y 

PROVIDER: S-EPMC7731991 | biostudies-literature | 2020 Nov

REPOSITORIES: biostudies-literature