ArticleEmerging infectious diseases2026
Characteristics of Plausible Source Cases Responsible for Recent Mycobacterium tuberculosis Transmission, United States, 2018-2022.
Article in Emerging infectious diseases, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
2 citing papers in PubMed.
- Recent Mycobacterium tuberculosis Transmission, United States, 2018-2022 (Response).Emerging infectious diseases · 2026Article
- Recent Mycobacterium tuberculosis Transmission, United States, 2018-2022.Emerging infectious diseases · 2026Article
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Tuberculosis (TB) outbreaks in the United States can cause substantial illness. Using surveillance and genotyping data, we applied a plausible source-case algorithm to identify TB cases reported during 2018-2020 responsible for secondary cases attributed to recent Mycobacterium tuberculosis transmission during 2020-2022. We used mixed models and a machine learning workflow to assess sociodemographic, clinical, and social risk factors associated with plausible sources. In mixed models, sputum smear positivity, cavitary disease, race/ethnicity other than non-Hispanic White or non-Hispanic Asian, age <65 years, US birth, and homelessness were associated with plausible sources. An adaptive boosting model achieved an area under the receiver operating characteristic curve of 0.81 on test data. Transmission was heterogeneous; 8.1% of sources linked to 3-15 secondary cases accounted for 24.9% of transmission events. Focusing case management and contact investigations on cases with the characteristics we identified could reduce M. tuberculosis transmission and improve TB prevention.
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