Dataset Information

Molecular surveillance for large outbreaks of tuberculosis in the United States, 2014-2018.

ABSTRACT:

Objective

This study describes characteristics of large tuberculosis (TB) outbreaks in the United States detected using novel molecular surveillance methods during 2014-2016 and followed for 2 years through 2018.

Methods

We developed 4 genotype-based detection algorithms to identify large TB outbreaks of ≥10 cases related by recent transmission during a 3-year period. We used whole-genome sequencing and epidemiologic data to assess evidence of recent transmission among cases.

Results

There were 24 large outbreaks involving 518 cases; patients were primarily U.S.-born (85.1%) racial/ethnic minorities (84.1%). Compared with all other TB patients, patients associated with large outbreaks were more likely to report substance use, homelessness, and having been diagnosed while incarcerated. Most large outbreaks primarily occurred within residences among families and nonfamilial social contacts. A source case with a prolonged infectious period and difficulties in eliciting contacts were commonly reported contributors to transmission.

Conclusion

Large outbreak surveillance can inform targeted interventions to decrease outbreak-associated TB morbidity.

SUBMITTER: Raz KM

PROVIDER: S-EPMC9530005 | biostudies-literature | 2022 Sep

REPOSITORIES: biostudies-literature

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Publications

Molecular surveillance for large outbreaks of tuberculosis in the United States, 2014-2018.

Raz Kala M KM Talarico Sarah S Althomsons Sandy P SP Kammerer J Steve JS Cowan Lauren S LS Haddad Maryam B MB McDaniel Clinton J CJ Wortham Jonathan M JM France Anne Marie AM Powell Krista M KM Posey James E JE Silk Benjamin J BJ

Tuberculosis (Edinburgh, Scotland) 20220809

<h4>Objective</h4>This study describes characteristics of large tuberculosis (TB) outbreaks in the United States detected using novel molecular surveillance methods during 2014-2016 and followed for 2 years through 2018.<h4>Methods</h4>We developed 4 genotype-based detection algorithms to identify large TB outbreaks of ≥10 cases related by recent transmission during a 3-year period. We used whole-genome sequencing and epidemiologic data to assess evidence of recent transmission among cases.<h4>R ...[more]

PMID: 35969928

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Dataset Information

Molecular surveillance for large outbreaks of tuberculosis in the United States, 2014-2018.

Objective

Methods

Results

Conclusion

Publications

Molecular surveillance for large outbreaks of tuberculosis in the United States, 2014-2018.

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