Characteristics of Plausible Source Cases Responsible for Recent Mycobacterium tuberculosis Transmission, United States, 2018–2022

Emerging infectious diseases 2026 Open access

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Authors: Steve Kammerer, Daniel Flanagan, Kala Raz, Tambi Shaw, Jonathan Wortham, Sarah Talarico
DOI: 10.3201/eid3206.260104
Cited by: 1
References: 38

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

Fields of Study & Subjects

Tuberculosis Research and Epidemiology Mycobacterium research and diagnosis Diagnosis and treatment of tuberculosis

Publication details

Journal / source
Emerging infectious diseases
Publisher
Centers for Disease Control and Prevention (CDC)
Volume
32
Issue
6
Pages
880–893
Publication date
15 May 2026
Language
EN