Advancing TB research using digitized programmatic data.


Journal

The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease
ISSN: 1815-7920
Titre abrégé: Int J Tuberc Lung Dis
Pays: France
ID NLM: 9706389

Informations de publication

Date de publication:
01 11 2021
Historique:
entrez: 23 10 2021
pubmed: 24 10 2021
medline: 12 11 2021
Statut: ppublish

Résumé

The use of real-world data from national TB care programs has great potential to answer key research questions in TB control and is now opportune due to increasing digital data collection and storage. We summarize an expert stakeholder workshop conducted on this topic in October 2019, with perspectives from academics, national TB program officers, and data managers. We discuss challenges and opportunities in the use of TB programmatic data for research and describe digital data availability in two large, high TB burden countries, Brazil and South Africa. From this, we posit that with a standardized data collection set, improved data management, and greater collaboration, more TB programmatic data can be used for research with measurable public health impact.

Identifiants

pubmed: 34686230
doi: 10.5588/ijtld.21.0325
pmc: PMC8544923
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural

Langues

eng

Sous-ensembles de citation

IM

Pagination

890-895

Subventions

Organisme : NIH HHS
ID : HHSN316201300002C
Pays : United States

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Auteurs

J Taaffe (J)

Office of Cyber Infrastructure and Computational Biology, Department of Health and Human Services, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA.

J Croda (J)

Federal University of Mato Grosso do Sul, Campo Grande, MS, Brazil, Department of Epidemiology of Microbial Diseases, Yale University School of Public Health, New Haven, NJ, USA, Oswaldo Cruz Foundation, Campo Grande, MS, Brazil.

H Moultrie (H)

National Institute for Communicable Diseases, Division of the National Health Laboratory Service, Johannesburg, South Africa.

D S Silva (DS)

Sydney Health Ethics, University of Sydney School of Public Health, Sydney, NSW, Australia.

A Rosenthal (A)

Office of Cyber Infrastructure and Computational Biology, Department of Health and Human Services, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA.

M Farhat (M)

Department of Biomedical Informatics, Harvard Medical School, Boston, MA, Division of Pulmonary and Critical Care, Massachusetts General Hospital, Boston, MA, USA.

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Classifications MeSH