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The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

The Global Burden of Respiratory Disease

Ferkol, Thomas, Schraufnagel, Dean·2014·Annals of the American Thoracic Society

Abstract

The Forum of International Respiratory Societies has released a report entitled Respiratory Disease in the World: Realities of Today—Opportunities for Tomorrow. The report identifies five conditions that primarily contribute to the global burden of respiratory disease (asthma, chronic obstructive pulmonary disease, acute respiratory infections, tuberculosis, and lung cancer), and offers an action plan to prevent and treat those diseases. It describes the staggering magnitude of the global burden of lung disease: hundreds of millions of people suffer and four million people die prematurely from respiratory diseases each year. The situation is not hopeless, because most major respiratory illnesses are avoidable. Much of the disease burden can be mitigated by reducing exposure to indoor and outdoor air pollution, restraining tobacco use, and relieving urban overcrowding. Implementation of the strategies described in the Forum of International Respiratory Societies respiratory diseases report would have a profound effect on respiratory health, reduce economic costs, and enhance health equality in the world.

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Metadata

Authors
Ferkol, T., & Schraufnagel, D.
Venue
Annals of the American Thoracic Society
Published
2014-03-01
Volume
11
Issue
3
Pages
404-406
ISSN
  • 2325-6621 (ISSN-L)
  • 2329-6933
OpenAlex
W2127334464
Cited by
734
References
4
FWCI
35.86
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: The Global Burden of Respiratory Disease. https://app.cochat.ai/papers/10.1513/annalsats.201311-405ps
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Ferkol, T., & Schraufnagel, D. (2014). The Global Burden of Respiratory Disease. Annals of the American Thoracic Society. https://doi.org/10.1513/annalsats.201311-405ps

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.