1. A Field-Validated Approach Using Surveillance and Genotyping Data to Estimate Tuberculosis Attributable to Recent Transmission in the United States.
- Author
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France, Anne Marie, Grant, Juliana, Kammerer, J. Steve, and Navin, Thomas R.
- Subjects
MYCOBACTERIAL diseases ,TUBERCULOSIS transmission ,TUBERCULOSIS epidemiology ,CONFIDENCE intervals ,GENETIC polymorphisms ,MOLECULAR epidemiology ,PUBLIC health surveillance ,DATA analysis software ,DESCRIPTIVE statistics ,ODDS ratio ,GENOTYPES ,GENETICS - Abstract
Tuberculosis genotyping data are frequently used to estimate the proportion of tuberculosis cases in a population that are attributable to recent transmission (RT). Multiple factors influence genotype-based estimates of RT and limit the comparison of estimates over time and across geographic units. Additionally, methods used for these estimates have not been validated against field-based epidemiologic assessments of RT. Here we describe a novel genotype-based approach to estimation of RT based on the identification of plausible-source cases, which facilitates systematic comparisons over time and across geographic areas. We compared this and other genotype-based RT estimation approaches with the gold standard of field-based assessment of RT based on epidemiologic investigation in Arkansas, Maryland, and Massachusetts during 1996-2000. We calculated the sensitivity and specificity of each approach for epidemiologic evidence of RT and calculated the accuracy of each approach across a range of hypothetical RT prevalence rates plausible for the United States. The sensitivity, specificity, and accuracy of genotype-based RT estimates varied by approach. At an RT prevalence of 10%, accuracy ranged from 88.5% for state-based clustering to 94.4% with our novel approach. Our novel, field-validated approach allows for systematic assessments over time and across public health jurisdictions of varying geographic size, with an established level of accuracy. [ABSTRACT FROM AUTHOR]
- Published
- 2015
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