Tuberculosis Genotype Clusters and Transmission in the U.S., 2009–2018
Supporting Files
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8 2021
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File Language:
English
Details
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Alternative Title:Am J Prev Med
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Personal Author:
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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.
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Subjects:
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Source:Am J Prev Med. 61(2):201-208
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Pubmed ID:33992497
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Pubmed Central ID:PMC9254502
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Document Type:
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Funding:
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Volume:61
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Issue:2
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Collection(s):
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Main Document Checksum:urn:sha256:402598b7d2592a365318e27302cae47dbf1200aa0090a5efc88ad264300a1600
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Download URL:
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File Type:
Supporting Files
File Language:
English
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