Evidence map›Paper›PMID 39735735›Full record

ArticleGeoHealth2025

Subseasonal Prediction of Heat-Related Mortality in Switzerland.

Maria Pyrina, Ana M Vicedo-Cabrera, Dominik Büeler, Sidharth Sivaraj, Christoph Spirig, Daniela I V Domeisen

Abstract read
In one paragraph

Article in GeoHealth, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
  2. 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

6 authors.

Maria PyrinaInstitute for Atmospheric and Climate Science, ETH Zurich Zurich Switzerland.ORCID https://orcid.org/0000-0002-4890-0732
Ana M Vicedo-CabreraInstitute of Social and Preventive Medicine University of Bern Bern Switzerland.
Dominik BüelerInstitute for Atmospheric and Climate Science, ETH Zurich Zurich Switzerland.ORCID https://orcid.org/0000-0002-9904-6281
Sidharth SivarajInstitute of Social and Preventive Medicine University of Bern Bern Switzerland.
Christoph SpirigFederal Office of Meteorology and Climatology MeteoSwiss Zurich Switzerland.ORCID https://orcid.org/0000-0001-9535-7333
Daniela I V DomeisenInstitute for Atmospheric and Climate Science, ETH Zurich Zurich Switzerland.ORCID https://orcid.org/0000-0002-1463-929X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Heatwaves pose a range of severe impacts on human health, including an increase in premature mortality. The summers of 2018 and 2022 are two examples with record-breaking temperatures leading to thousands of heat-related excess deaths in Europe. Some of the extreme temperatures experienced during these summers were predictable several weeks in advance by subseasonal forecasts. Subseasonal forecasts provide weather predictions from 2 weeks to 2 months ahead, offering advance planning capabilities. Nevertheless, there is only limited assessment of the potential for heat-health warning systems at a regional level on subseasonal timescales. Here we combine methods of climate epidemiology and subseasonal forecasts to retrospectively predict the 2018 and 2022 heat-related mortality for the cantons of Zurich and Geneva in Switzerland. The temperature-mortality association for these cantons is estimated using observed daily temperature and mortality during summers between 1990 and 2017. The temperature-mortality association is subsequently combined with bias-corrected subseasonal forecasts at a spatial resolution of 2-km to predict the daily heat-related mortality counts of 2018 and 2022. The mortality predictions are compared against the daily heat-related mortality estimated based on observed temperature during these two summers. Heat-related mortality peaks occurring for a few days can be accurately predicted up to 2 weeks ahead, while longer periods of heat-related mortality lasting a few weeks can be anticipated 3 to even 4 weeks ahead. Our findings demonstrate that subseasonal forecasts are a valuable-but yet untapped-tool for potentially issuing warnings for the excess health burden observed during central European summers.

Indexed as

extreme eventsheat‐health warningsheatwavesmortality predictionsubseasonal forecastSwitzerland

Identifiers

PMID39735735
PMCPMC11669574

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.