Evidence map›Paper›PMID 34084982›Full record

ArticleGeoHealth2021

A Comparative Analysis of the Temperature-Mortality Risks Using Different Weather Datasets Across Heterogeneous Regions.

Evan de Schrijver, Christophe L Folly, Rochelle Schneider, Dominic Royé, Oscar H Franco, Antonio Gasparrini, Ana M Vicedo-Cabrera

Open access · goldAbstract read
In one paragraph

Article in GeoHealth, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
3.8field-weighted citation impact, top 6% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

25 citing papers in PubMed, 49 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Optimal heat stress metric for modelling heat-related mortality varies from country to country.International journal of climatology : a journal of the Royal Meteorological Society · 2023
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 4 institutions in 4 countries.

Evan de SchrijverInstitute of Social and Preventive Medicine (ISPM) University of Bern Bern Switzerland.ORCID https://orcid.org/0000-0002-2679-0464
Christophe L FollyInstitute of Social and Preventive Medicine (ISPM) University of Bern Bern Switzerland.ORCID https://orcid.org/0000-0002-3162-9739
Rochelle SchneiderФ-Lab European Space Agency (ESA/ESRIN) Frascati Italy.ORCID https://orcid.org/0000-0002-2905-0154
Dominic RoyéDepartment of Geography University of Santiago de Compostela Santiago de Compostela Spain.ORCID https://orcid.org/0000-0002-5516-6396
Oscar H FrancoInstitute of Social and Preventive Medicine (ISPM) University of Bern Bern Switzerland.ORCID https://orcid.org/0000-0002-4606-4929
Antonio GasparriniCentre on Climate Change and Planetary Health London School of Hygiene & Tropical Medicine, London (LSHTM) London UK.ORCID https://orcid.org/0000-0002-2271-3568
Ana M Vicedo-CabreraInstitute of Social and Preventive Medicine (ISPM) University of Bern Bern Switzerland.ORCID https://orcid.org/0000-0001-6982-8867
University of Bern · CHEuropean Centre for Medium-Range Weather Forecasts · GBRoyal Society of Tropical Medicine and Hygiene · GBUniversidade de Santiago de Compostela · ES

Funding

Medical Research Council MR/M022625/1Medical Research Council MR/R013349/1
6 · The paper itself

Abstract

New gridded climate datasets (GCDs) on spatially resolved modeled weather data have recently been released to explore the impacts of climate change. GCDs have been suggested as potential alternatives to weather station data in epidemiological assessments on health impacts of temperature and climate change. These can be particularly useful for assessment in regions that have remained understudied due to limited or low quality weather station data. However to date, no study has critically evaluated the application of GCDs of variable spatial resolution in temperature-mortality assessments across regions of different orography, climate, and size. Here we explored the performance of population-weighted daily mean temperature data from the global ERA5 reanalysis dataset in the 10 regions in the United Kingdom and the 26 cantons in Switzerland, combined with two local high-resolution GCDs (HadUK-grid UKPOC-9 and MeteoSwiss-grid-product, respectively) and compared these to weather station data and unweighted homologous series. We applied quasi-Poisson time series regression with distributed lag nonlinear models to obtain the GCD- and region-specific temperature-mortality associations and calculated the corresponding cold- and heat-related excess mortality. Although the five exposure datasets yielded different average area-level temperature estimates, these deviations did not result in substantial variations in the temperature-mortality association or impacts. Moreover, local population-weighted GCDs showed better overall performance, suggesting that they could be excellent alternatives to help advance knowledge on climate change impacts in remote regions with large climate and population distribution variability, which has remained largely unexplored in present literature due to the lack of reliable exposure data.

Indexed as

climate changecoldGridded climate datasetheatmortalityreanalysisspatiotemporal analysis

Identifiers

PMID34084982
PMCPMC8143899
OpenAlexW3147113984

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.