Evidence map›Paper›PMID 42204751›Full record

ArticleBMC global and public health2026

Quantifying the financial burden of heat-related hospital admissions in Switzerland under a changing climate: A scalable analytical framework.

Ario Saeid Vaghefi, Iris Bucher, Chiara Colesanti Senni, Veruska Muccione, Martina S Ragettli, Abbas Mirmashhouri, Christian Huggel, Markus Leippold

Abstract read
In one paragraph

Article in BMC global and public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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.

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. 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

8 authors.

Ario Saeid Vaghefi *Department of Finance, University of Zürich, Plattenstrasse 14, 8032, Zürich, Switzerland.
Iris Bucher *Department of Finance, University of Zürich, Plattenstrasse 14, 8032, Zürich, Switzerland.
Chiara Colesanti Senni *Department of Finance, University of Zürich, Plattenstrasse 14, 8032, Zürich, Switzerland.
Veruska MuccioneDepartment of Geography, University of Zürich, Winterthurerstrasse 190, 8057, Zürich, Switzerland.
Martina S RagettliSwiss Tropical and Public Health Institute (Swiss TPH), Kreuzstrasse 2, 4123, Allschwil, Switzerland.
Abbas MirmashhouriDepartment of Geography, University of Zürich, Winterthurerstrasse 190, 8057, Zürich, Switzerland.
Christian HuggelDepartment of Geography, University of Zürich, Winterthurerstrasse 190, 8057, Zürich, Switzerland.
Markus Leippold *Department of Finance, University of Zürich, Plattenstrasse 14, 8032, Zürich, Switzerland. markus.leippold@df.uzh.ch.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWhile heat-related mortality is well-documented, the full economic burden of non-fatal illness remains underexplored. This gap hinders evidence-based health planning in a warming climate. We aimed to quantify the current and projected financial burden of heat-related hospital admissions in Switzerland.

methodsWe linked daily hospital admissions (1998-2022) from six Swiss cantons, representing 60% of the national total, to temperature records using a Distributed Lag Non-Linear Model (DLNM) meta-analysis. Costs were estimated via the Swiss Diagnosis-Related Groups (SwissDRG) tariff system across different disease categories and age groups. Future climate projections were generated using CH2018 climate simulations with Shared Socioeconomic Pathway (SSP) scenarios (SSP1-Representative Concentration Pathway (RCP)2.6, SSP2-RCP4.5, SSP5-RCP8.5).

resultsHistorically, extreme heat significantly increased hospital admissions in major Swiss regions, with endocrine/metabolic disorders showing the highest relative risk (RR 2.02). The elderly (75+) and children were the most vulnerable populations. The average annual cost of these direct hospitalizations across the six cantons studied was Swiss Francs (CHF) 20.6 million (2013-2022), notably a conservative estimate representing only a fraction of the total economic burden. Future projections show this burden escalating sharply. Under a high-emissions pathway (SSP5-RCP8.5), these direct costs are projected to increase 2.5-fold by the 2060s, with costs for the elderly quintupling. Critically, even with aggressive mitigation (SSP1-RCP2.6), costs are still projected to triple compared to the baseline. This is driven primarily by demographic aging, with climate change acting as a significant amplifier, responsible for 15-30% of the projected cost increases for the elderly.

conclusionsOur findings from major Swiss regions reveal a substantial and growing financial burden on the healthcare system. Given that these figures represent a lower bound, the true costs are likely much higher. This evidence underscores the urgent need for nationally coordinated adaptation policies to protect public health and ensure healthcare sustainability, even as mitigation efforts continue.

Indexed as

Climate change health costsDistributed Lag Non-Linear Model (DLNM)Heat-related morbiditySwissDRG / healthcare cost projection

Identifiers

PMID42204751
PMCPMC13217927

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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.