CoChat
Sign Up
Cited by 16Building Energy and Comfort OptimizationUrban Heat Island MitigationBuilding energy efficiency and sustainability

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Commentary: What measure of temperature is the best predictor of mortality?

Barnett, A.G., Åström, C.·2012·Environmental Research
DOI 10.1016/j.envres.2012.05.008
Open this paper in CoChat — free account

Overview

Integrity signals

Registry

Crossref · 10.1016/j.envres.2012.05.008

Cites

1 of 1 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Verification

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

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?

  • The study results are in concurrence with the findings of Astrom, who also reported sensitivity of indoor temperature to outdoor temperature primarily based on house building design concepts, outdoor conditions of a locality, and the outdoor temperature itself.

    “The study results are in concurrence with the findings of Astrom [47], who also reported sensitivity of indoor temperature to outdoor temperature primarily based on house building design concepts, outdoor conditions of a locality, and the outdoor temperature itself.”

    From Thermal Discomfort Levels, Building Design Concepts, and Some Heat Mitigation Strategies in Low-Income Communities of a South Asian City (2021) · cites this paper as [47]

Citations

Cites

Flagged first, then by citations

Research works printed but not linked: 6

  1. Barnett, 2010, What measure of temperature is the best predictor of mortality?, Environ. Res., 110, 604, 10.1016/j.envres.2010.05.006 · DOI
  2. Basu, 2008, Characterizing temperature and mortality in nine California counties, Epidemiology, 19, 138, 10.1097/EDE.0b013e31815c1da7 · DOI
  3. Bickerstaff, 2004, Risk perception research: socio-cultural perspectives on the public experience of air pollution, Environ. Int., 30, 827, 10.1016/j.envint.2003.12.001 · DOI
  4. Bobb, 2011, A Bayesian model averaging approach for estimating the relative risk of mortality associated with heat waves in 105 U.S. cities, Biometrics, 67, 1605, 10.1111/j.1541-0420.2011.01583.x · DOI
  5. Gasparrini, 2010, Distributed lag non-linear models, Stat. Med., 29, 2224, 10.1002/sim.3940 · DOI · Paper page
  6. Zanobetti, 2008, Temperature and mortality in nine US cities, Epidemiology, 19, 563, 10.1097/EDE.0b013e31816d652d · DOI

Cited by

Sorted by citations

Metadata

Authors
Barnett, A. G., & Åström, C.
Affiliations
  • Queensland University of Technology (AU)
  • Umeå University (SE)
Corresponding author
Barnett, A.G.
ORCID
Barnett, A.G.
Venue
Environmental Research
Publisher
Elsevier BV
Published
2012-10
Volume
118
Pages
149-151
ISSN
0013-9351 (ISSN-L)
DOI
10.1016/j.envres.2012.05.008
OpenAlex
W2032741196
Cited by
16
References
1
Citations by year
2026: 1 · 2024: 2 · 2022: 1 · 2021: 2 · 2020: 3 · 2019: 1 · 2018: 1 · 2017: 1 · 2016: 1 · 2015: 1 · 2014: 1 · 2013: 1
Type
journal article
Language
en
Open access
closed
Licence
www.elsevier.com/tdm/userlicense/1.0/ (tdm)
Locations
  • Environmental Research (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • Department of Biostatistics at the Johns Hopkins Bloomberg School of Public Health and the Health Effects Institute
  • High Performance Computer and Research Support Unit, Queensland University of Technology, Brisbane, Australia.
Topics
  • Physical Sciences › Engineering › Building and Construction › Building Energy and Comfort Optimization
  • Physical Sciences › Environmental Science › Environmental Engineering › Urban Heat Island Mitigation
  • Physical Sciences › Engineering › Building and Construction › Building energy efficiency and sustainability
Keywords
climatic variables, artificial neural networks, Poisson regression, relative humidity, global radiation, wind speed, wind direction, ambient temperature, building thermal performance, building retrofit, insulation material selection
MeSH terms
Cold Temperature, Hot Temperature, Humans, Mortality

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 ›

Are you an author, or do you see a problem with this page? Request a review