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Predicting progression to active tuberculosis: A rate-limiting step on the path to elimination

Ajit Lalvani*, Luis C Berrocal-Almanza, Alice Halliday

*Corresponding author for this work

Research output: Contribution to journalArticle (Academic Journal)peer-review

12 Citations (Scopus)
181 Downloads (Pure)

Abstract

In a Perspective, Ajit Lalvani and colleagues discuss new approaches to predicting progression to active tuberculosis.

Original languageEnglish
Article numbere1002814
Number of pages3
JournalPLOS Medicine
Volume16
Issue number5
DOIs
Publication statusPublished - 24 May 2019

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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