ArticleAmerican journal of epidemiology2023
Quantifying Mycobacterium tuberculosis Transmission Dynamics Across Global Settings: A Systematic Analysis.
Article in American journal of epidemiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Characteristics of Plausible Source Cases Responsible for Recent Mycobacterium tuberculosis Transmission, United States, 2018-2022.Emerging infectious diseases · 2026Article
- A new method to estimate factors associated with tuberculosis transmission using whole genome sequencing and other additional metadata.Epidemiologic methods · 2026Article
- Protein Architecture and Composition in Mycobacterium tuberculosis.Advances in experimental medicine and biology · 2026Review
- The impact of the toll-like receptor 1 (TLR1) variation rs5743557 on tuberculosis susceptibility in the Thai population.Journal of thoracic disease · 2025Article
- Differentially culturableJournal of medical microbiology · 2025Article
- Assessing Infectiousness and the Impact of Effective Treatment to Guide Isolation Recommendations for People With Pulmonary Tuberculosis.The Journal of infectious diseases · 2025Review
- Applying geospatial multi-agent system to model various aspects of tuberculosis transmission.New microbes and new infections · 2024Article
- Utility of Mycobacterium tuberculosis Genome Sequencing Snapshots to Assess Transmission Dynamics Over Time.The Journal of infectious diseases · 2024Article
- Whole Genome Sequencing: Applications in Clinical Bacteriology.Medical principles and practice : international journal of the Kuwait University, Health Science Centre · 2024Review
- Precision geospatial targeting for cost-effective tuberculosis case finding in Eastern Uganda: a quasi-experimental study.Therapeutic advances in infectious diseaseArticle
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
The degree to which individual heterogeneity in the production of secondary cases ("superspreading") affects tuberculosis (TB) transmission has not been systematically studied. We searched for population-based or surveillance studies in which whole genome sequencing was used to estimate TB transmission and in which the size distributions of putative TB transmission clusters were enumerated. We fitted cluster-size-distribution data to a negative binomial branching process model to jointly infer the transmission parameters $R$ (the reproduction number) and the dispersion parameter, $k$, which quantifies the propensity of superspreading in a population (generally, lower values of $k$ ($<1.0$) suggest increased heterogeneity). Of 4,796 citations identified in our initial search, 9 studies from 8 global settings met the inclusion criteria (n = 5 studies of all TB; n = 4 studies of drug-resistant TB). Estimated $R$ values (range, 0.10-0.73) were below 1.0, consistent with declining epidemics in the included settings; estimated $k$ values were well below 1.0 (range, 0.02-0.48), indicating the presence of substantial individual-level heterogeneity in transmission across all settings. We estimated that a minority of cases (range, 2%-31%) drive the majority (80%) of ongoing TB transmission at the population level. Identifying sources of heterogeneity and accounting for them in TB control may have a considerable impact on mitigating TB transmission.
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