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Cited by 258

The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.

Estimated Global Disease Burden From US Health Care Sector Greenhouse Gas Emissions

Open access
Eckelman, Matthew J., Sherman, Jodi D.·2018·American Journal of Public Health

Abstract

Objectives. To quantify the increased disease burden caused by US health care sector life cycle greenhouse gas (GHG) emissions of 614 million metric tons of carbon dioxide equivalents in 2013. Methods. We screened for health damage factors that linked GHG emissions to disease burdens. We selected 5 factors, based on appropriate temporal modeling scales, which reflect a range of possible GHG emissions scenarios. We applied these factors to health care sector emissions. Results. We projected that annual GHG emissions associated with health care in the United States would cause 123 000 to 381 000 disability-adjusted life-years in future health damages, with malnutrition being the largest damage category. Conclusions. Through their contribution to global climate change, GHG emissions will negatively affect public health because of an increased prevalence of extreme weather, flooding, vector-borne disease, and other effects. As the stewards of global health, it is important for health care professionals to recognize the magnitude of GHG emissions associated with health care itself, and the severity of associated health damages.

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Metadata

Authors
Eckelman, M. J., & Sherman, J. D.
Venue
American Journal of Public Health
Published
2018-04
Volume
108
Issue
S2
Pages
S120-S122
ISSN
  • 0090-0036 (ISSN-L)
  • 1541-0048
OpenAlex
W2766230600
Cited by
258
References
11
FWCI
6.01
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Estimated Global Disease Burden From US Health Care Sector Greenhouse Gas Emissions. https://app.cochat.ai/papers/10.2105/ajph.2017.303846
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Eckelman, M. J., & Sherman, J. D. (2018). Estimated Global Disease Burden From US Health Care Sector Greenhouse Gas Emissions. American Journal of Public Health. https://doi.org/10.2105/ajph.2017.303846

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

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