Cited by 24Air Quality and Health ImpactsEnergy and Environment ImpactsIndoor Air Quality and Microbial Exposure

Low-Level Air Pollution Associated With Death: Policy and Clinical Implications

Zhang, Junfeng·2017·JAMA

Integrity signals

Registry

Crossref · 10.1001/jama.2017.18948

Cites

8 of 8 references verified0 citation errors · 0 not checkable

Statistics

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Claims the paper makes

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Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Making ozone forecasting available to the general public will enhance the effectiveness of personal protection methods to reduce ozone exposure.

    “Making ozone forecasting available to the general public will enhance the effectiveness of such personal protection methods to reduce ozone exposure (81).”

    From Ozone pollution: A Major health hazard worldwide (2019) · cites this paper as [81]

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Authors
Zhang, J.
Affiliations
Duke University (US)
Corresponding author
Zhang, Junfeng
Venue
JAMA
Published
2017-12-26
Volume
318
Issue
24
Pages
2431
ISSN
  • 0002-9955 (ISSN-L)
  • 0098-7484
OpenAlex
W2779335187
Cited by
24
References
8
Citations by year
2026: 1 · 2025: 3 · 2024: 2 · 2023: 1 · 2022: 4 · 2021: 4 · 2020: 1 · 2019: 3 · 2018: 5
Type
journal article
Language
en
Open access
closed
Locations
  • JAMA (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Physical Sciences › Environmental Science › Health, Toxicology and Mutagenesis › Air Quality and Health Impacts
  • Physical Sciences › Environmental Science › Pollution › Energy and Environment Impacts
  • Physical Sciences › Environmental Science › Health, Toxicology and Mutagenesis › Indoor Air Quality and Microbial Exposure
Keywords
low-level air pollution, air pollution, mortality, particulate matter, air pollution health effects
MeSH terms
Air Pollutants, Air Pollution, Humans

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

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