Making cough count in tuberculosis care

Alexandra J. Zimmer, César Ugarte-Gil, Rahul Pathri, Puneet Dewan, Devan Jaganath, Adithya Cattamanchi, Madhukar Pai, Simon Grandjean Lapierre

Research output: Contribution to journalArticlepeer-review

Abstract

Cough assessment is central to the clinical management of respiratory diseases, including tuberculosis (TB), but strategies to objectively and unobtrusively measure cough are lacking. Acoustic epidemiology is an emerging field that uses technology to detect cough sounds and analyze cough patterns to improve health outcomes among people with respiratory conditions linked to cough. This field is increasingly exploring the potential of artificial intelligence (AI) for more advanced applications, such as analyzing cough sounds as a biomarker for disease screening. While much of the data are preliminary, objective cough assessment could potentially transform disease control programs, including TB, and support individual patient management. Here, we present an overview of recent advances in this field and describe how cough assessment, if validated, could support public health programs at various stages of the TB care cascade.

Original languageEnglish (US)
Article number83
JournalCommunications Medicine
Volume2
Issue number1
DOIs
StatePublished - Dec 2022

ASJC Scopus subject areas

  • Public Health, Environmental and Occupational Health
  • Internal Medicine
  • Epidemiology
  • Medicine (miscellaneous)
  • Assessment and Diagnosis

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