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Peer reviewedOpen accessTuberculosis

Integrating genomic and spatial analyses to describe tuberculosis transmission: a scoping review

The Lancet Microbe·

Yu Lan, Isabel Rancu, Melanie H Chitwood, Benjamin Sobkowiak, Kate Nyhan, Hsien-Ho Lin, Chieh-Yin Wu, Barun Mathema, Tyler S Brown, Caroline Colijn, Joshua L Warren, Ted Cohen

DOI
10.1016/j.lanmic.2025.101094
PMID
40228509
PMCID
PMC12371702
OpenAlex
W4409358909
Study type
Journal article
Publisher
Elsevier BV
Article type
journal-article
Integrity
current

Why this research matters now

This synthesis is relevant because it frames genomic-spatial methods as useful for describing local tuberculosis transmission patterns and identifying areas of concentration. The abstract presents these tools as promising for research and interpretation, while noting that additional methodological development is needed.

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Structured evidence summary

Research question

What has the literature reported about the spatial distribution of tuberculosis transmission when pathogen genetics are examined together with location data?

Study design

Scoping review of studies that combined Mycobacterium tuberculosis genetic data with geographic or location information. The review identified 142 studies published from 1994 to 2024.

Population and setting

The evidence concerns tuberculosis and Mycobacterium tuberculosis studies included in the review. The abstract does not specify a single country, region, or clinical setting.

Main findings

The review reports a shift in methods over time, with whole-genome sequencing increasingly replacing lower-resolution genotyping after 2020. It describes four recurring research themes: geographic clustering of cases and transmission groups, possible spatial hotspots, factors linked to clustering, and the relation between case proximity and genetic similarity. The authors conclude that combining spatial and genomic data can improve understanding of local transmission patterns.

Public-health relevance

This synthesis is relevant because it frames genomic-spatial methods as useful for describing local tuberculosis transmission patterns and identifying areas of concentration. The abstract presents these tools as promising for research and interpretation, while noting that additional methodological development is needed.

Important limitations

The abstract states that incomplete sampling and the lack of movement data limit current analyses, and it calls for improved study designs and new analytical methods. It also implies that the evidence base remains methodologically diverse across a long publication period.

GIDS interpretation

This article is discoverable as a recent literature synthesis on tuberculosis transmission that integrates genomic and spatial approaches. It provides context for the topic and should not be read as a live surveillance signal or as confirming any current outbreak pattern.

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Related GIDS surveillance

Literature context does not validate, explain, or change a surveillance signal. Exact and contextual relationships are shown separately.

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Evidence relationships

This article has 7 auditable classifier relationships to diseases, places, topics, and study design.

about diseaseaddresses topicaddresses topicaddresses topichas pathogen typestudied population settinguses study design