A dataset of Solicited Cough Sound for Tuberculosis Triage Testing
Cough is a common and commonly ignored symptom of lung disease. Cough is often perceived as difficult to quantify, frequently self-limiting, and non-specific. However, cough has a central role in the clinical detection of many lung diseases including tuberculosis (TB), which remains the leading infectious disease killer worldwide. TB screening currently relies on self-reported cough which fails to meet the World Health Organization (WHO) accuracy targets for a TB triage test. Artificial intelligence (AI) models based on cough sound have been developed for several respiratory conditions, with limited work being done in TB. To support the development of an accurate, point-of-care cough-based triage tool for TB, we have compiled a large multi-country database of cough sounds from individuals being evaluated for TB. The dataset includes more than 700,000 cough sounds from 2,143 individuals with detailed demographic, clinical and microbiologic diagnostic information. We aim to empower researchers in the development of cough sound analysis models to improve TB diagnosis, where innovative approaches are critically needed to end this long-standing pandemic.
Authors
- Mihaja Raberahona (ORCID: https://orcid.org/0000-0001-8857-5834)
- Simon Grandjean Lapierre (ORCID: https://orcid.org/0000-0003-3646-1573)
- Issa N. Lyimo (ORCID: https://orcid.org/0000-0001-5804-7352)
- Devasahayam Jesudas Christopher (ORCID: https://orcid.org/0000-0002-9405-8494)
- Rivo Andry Rakotoarivelo (ORCID: https://orcid.org/0000-0003-3438-8624)
- Omar Lweno
- William O. Worodria (ORCID: https://orcid.org/0000-0002-8531-5567)
- Peter M. Small (ORCID: https://orcid.org/0000-0001-5403-8985)
- Devan Jaganath (ORCID: https://orcid.org/0000-0002-8555-5667)
- Christine Bachman (ORCID: https://orcid.org/0000-0002-8143-2782)
- Sourabh Kulhare
- Solveig K. Sieberts (ORCID: https://orcid.org/0000-0003-1033-0954)
- Sophie Huddart (ORCID: https://orcid.org/0000-0001-6425-3371)
- Adithya Cattamanchi (ORCID: https://orcid.org/0000-0002-6553-2601)
- Vijay Yadav (ORCID: https://orcid.org/0000-0003-2801-9005)
- Grant Theron (ORCID: https://orcid.org/0000-0002-9216-2415)
- Stephen Burkot
- Nguyen Viet Nhung (ORCID: https://orcid.org/0000-0002-5447-133X)
- Puneet Kumar Dewan (ORCID: https://orcid.org/0000-0001-5798-300X)
- Charles Yu
- Larson Omberg
Institutions
- Ifakara Health Institute (TZ)
- Sage Bionetworks (US)
- Christian Medical College, Vellore (IN)
- University of California, San Francisco (US)
- University of California, Irvine (US)
- Stellenbosch University (ZA)
- Université de Fianarantsoa (MG)
- Christian Medical College (IN)
- Bellevue Hospital Center (US)
- Faculty of 1000 (United States) (US)
- École Nationale d'Administration de Madagascar (MG)
- Centre Hospitalier de l’Université de Montréal (CA)
- Hanoi Lung Hospital (VN)
- Intellectual Ventures (United States) (US)
- Université de Montréal (CA)
- De La Salle University – Dasmariñas (PH)
Publication Details
- Journal
- Scientific Data
- Published
- 2024-10-18
- DOI
- https://doi.org/10.1038/s41597-024-03972-z
- Citations
- 9
- Primary Topic
- Respiratory and Cough-Related Research
- Type
- article
- Field-Weighted Citation Impact
- 3.77
Funders
- Bill and Melinda Gates Foundation
- National Institutes of Health
- Fonds de Recherche du Québec - Santé
- National Institute of Allergy and Infectious Diseases