Estimating the global burden of viable Mycobacterium tuberculosis infection: A mathematical modelling study

Our findings offer global burden estimates of viable Mtb infection and reveal a sizable population recently infected with Mtb and at high risk of progression to disease. New diagnostic tools that can detect individuals with viable Mtb-particularly those who would benefit from TB preventive therapy-are urgently needed.

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Publication Details

Journal
PLoS Medicine
Published
2026-02-05
DOI
https://doi.org/10.1371/journal.pmed.1004920
Citations
2
Primary Topic
Tuberculosis Research and Epidemiology
Type
article
Field-Weighted Citation Impact
65.56

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article

Estimating the global burden of viable Mycobacterium tuberculosis infection: A mathematical modelling study

César Ugarte‐Gil, Hannah M. Rickman, Alvaro Schwalb, Katherine Chisholm Horton et al.
2 citations
PLoS Medicine
Tuberculosis Research and Epidemiology
65.56
article

Estimating the global burden of viable Mycobacterium tuberculosis infection: A mathematical modelling study

César Ugarte‐Gil, Hannah M. Rickman, Alvaro Schwalb, Katherine Chisholm Horton, Peter J. Dodd, Rein M. G. J. Houben
article en
2 citations

Abstract

Our findings offer global burden estimates of viable Mtb infection and reveal a sizable population recently infected with Mtb and at high risk of progression to disease. New diagnostic tools that can detect individuals with viable Mtb-particularly those who would benefit from TB preventive therapy-are urgently needed.

PLoS MedicineVol. 23(2)
University of London (GB), University of Liverpool (GB), Universidad Peruana Cayetano Heredia (PE), Malawi-Liverpool-Wellcome Trust Clinical Research Programme (MW), London School of Hygiene & Tropical Medicine (GB), The University of Texas Medical Branch at Galveston (US), University of Sheffield (GB)
London School of Hygiene and Tropical Medicine
Openalex Percentile: Top 0%
Tuberculosis Research and Epidemiology
65.56
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Estimating the global burden of viable Mycobacterium tuberculosis infection: A mathematical modelling study — César Ugarte‐Gil, Hannah M. Rickman, et al. · PLoS Medicine (2026) | TGRS Research Map | TGRS