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Tuberculosis Genotype Clusters and Transmission in the U.S., 2009–2018

Supporting Files
File Language:
English


Details

  • Alternative Title:
    Am J Prev Med
  • Personal Author:
  • Description:
    Introduction:

    In the U.S., universal genotyping of culture-confirmed tuberculosis cases facilitates cluster detection. Early recognition of the small clusters more likely to become outbreaks can help prioritize public health resources for immediate interventions.

    Methods:

    This study used national surveillance data reported during 2009–2018 to describe incident clusters (≥3 tuberculosis cases with matching genotypes not previously reported in the same county); data were analyzed during 2020. Cox proportional hazards regression models were used to examine patient characteristics associated with clusters doubling in size to ≥6 cases.

    Results:

    During 2009–2018, a total of 1,516 incident clusters (comprising 6,577 cases) occurred in 47 U.S. states; 231 clusters had ≥6 cases. Clusters of ≥6 cases disproportionately included patients who used substances, had recently experienced homelessness, were incarcerated, were U.S.-born, or self-identified as of American Indian or Alaska Native race or of Black race. A median of 54 months elapsed between the first and third cases in clusters that remained at 3–5 cases, compared with 9.5 months in clusters that grew to ≥6 cases. Longer time between first and third cases and presence of ≥1 patient aged ≥65 years among the first 3 cases predicted lower hazard for accumulating ≥6 cases.

    Conclusions:

    Clusters accumulating ≥3 cases within a year should be prioritized for intervention. Effective responses strategies should include plans for targeted outreach to U.S.-born individuals, incarcerated people, those experiencing homelessness, people using substances, and individuals self-identifying as of American Indian or Alaska Native race or of Black race.

  • Subjects:
  • Source:
    Am J Prev Med. 61(2):201-208
  • Pubmed ID:
    33992497
  • Pubmed Central ID:
    PMC9254502
  • Document Type:
  • Funding:
  • Volume:
    61
  • Issue:
    2
  • Collection(s):
  • Main Document Checksum:
    urn:sha256:402598b7d2592a365318e27302cae47dbf1200aa0090a5efc88ad264300a1600
  • Download URL:
  • File Type:
    Filetype[PDF - 539.87 KB ]
File Language:
English
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