Evidence map›Paper›PMID 39399733›Full record

ArticleEnvironmental epidemiology (Philadelphia, Pa.)2024

Mortality burden and economic loss attributable to cold and heat in Central and South America.

Aurelio Tobías, Carmen Íñiguez, Magali Hurtado Díaz, Horacio Riojas, Luis Abdon Cifuentes, Dominic Royé, Rosana Abrutzky, Micheline de Sousa Zanotti Stagliorio Coelho, Paulo Hilario Nascimento Saldiva, Nicolás Valdés Ortega and 8 more

Abstract read
In one paragraph

Article in Environmental epidemiology (Philadelphia, Pa.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Mortality risk and burden associated with non-optimum temperatures in Puerto Rico.Environmental research letters : ERL [Web site] · 2025
    Article
  3. 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

18 authors.

Aurelio TobíasInstitute of Environmental Assessment and Water Research (IDAEA), Spanish Council for Scientific Research (CSIC), Barcelona, Spain.ORCID https://orcid.org/0000-0001-6428-6755
Carmen ÍñiguezDepartment of Statistics and Computational Research, University of Valencia, Valencia, Spain.ORCID https://orcid.org/0000-0002-5156-0732
Magali Hurtado DíazDepartment of Environmental Health, National Institute of Public Health, Cuernavaca, Morelos, Mexico.ORCID https://orcid.org/0000-0002-0834-2131
Horacio RiojasDepartment of Environmental Health, National Institute of Public Health, Cuernavaca, Morelos, Mexico.ORCID https://orcid.org/0000-0002-6734-0486
Luis Abdon CifuentesDepartment of Engineering, Pontificia Universidad Católica de Chile, Santiago, Chile.ORCID https://orcid.org/0000-0001-7416-5607
Dominic RoyéCIBER de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.ORCID https://orcid.org/0000-0002-5516-6396
Rosana AbrutzkyFacultad de Ciencias Sociales, Instituto de Investigaciones Gino Germani, Universidad de Buenos Aires, Buenos Aires, Argentina.ORCID https://orcid.org/0000-0002-5580-0211
Micheline de Sousa Zanotti Stagliorio CoelhoDepartment of Pathology, Faculty of Medicine, University of São Paulo, São Paulo, Brazil.ORCID https://orcid.org/0000-0002-9732-1278
Paulo Hilario Nascimento SaldivaDepartment of Environmental Health, University of São Paulo, São Paulo, Brazil.ORCID https://orcid.org/0000-0003-2005-8253
Nicolás Valdés OrtegaCentro Interdisciplinario de Cambio Global, Pontificia, Universidad Católica de Chile, Santiago, Chile.ORCID https://orcid.org/0000-0001-7609-4291
Patricia Matus CorreaDepartment of Public Health, Universidad de los Andes, Santiago, Chile.ORCID https://orcid.org/0000-0003-1844-6564
Samuel OsorioDepartment of Environmental Health, National Institute of Public Health, Cuernavaca, Morelos, Mexico.ORCID https://orcid.org/0000-0003-3699-3377
Gabriel CarrascoInstitute of Tropical Medicine "Alexander von Humboldt," Universidad Peruana Cayetano Heredia, Lima, Perú.ORCID https://orcid.org/0000-0002-6945-0419
Valentina ColistroDepartment of Quantitative Methods, School of Medicine, University of the Republic, Montevideo, Uruguay.ORCID https://orcid.org/0000-0002-5727-4980
Mathilde PascalSanté Publique France, Department of Environmental and Occupational Health, French National Public Health Agency, Saint Maurice, France.
Olivier ChanelAix Marseille University, CNRS, AMSE, Marseille, France.ORCID https://orcid.org/0000-0002-8221-7558
Lina MadaniyaziSchool of Tropical Medicine and Global Health, Nagasaki University, Nagasaki, Japan.ORCID https://orcid.org/0000-0001-9067-2422
Antonio GasparriniEnvironment & Health Modelling (EHM) Lab, Department of Public Health Environments and Society, London School of Hygiene & Tropical Medicine, London, United Kingdom.ORCID https://orcid.org/0000-0002-2271-3568

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: We quantify the mortality burden and economic loss attributable to nonoptimal temperatures for cold and heat in the Central and South American countries in the Multi-City Multi-Country (MCC) Collaborative Research Network. Methods: We collected data for 66 locations from 13 countries in Central and South America to estimate location-specific temperature-mortality associations using time-series regression with distributed lag nonlinear models. We calculated the attributable deaths for cold and heat as the 2.5th and 97.5th temperature percentiles, above and below the minimum mortality temperature, and used the value of a life year to estimate the economic loss of delayed deaths. Results: The mortality impact of cold varied widely by country, from 9.64% in Uruguay to 0.22% in Costa Rica. The heat-attributable fraction for mortality ranged from 1.41% in Paraguay to 0.01% in Ecuador. Locations in arid and temperate climatic zones showed higher cold-related mortality (5.10% and 5.29%, respectively) than those in tropical climates (1.71%). Arid and temperate climatic zones saw lower heat-attributable fractions (0.69% and 0.58%) than arid climatic zones (0.92%). Exposure to cold led to an annual economic loss of $0.6 million in Costa Rica to $472.2 million in Argentina. In comparison, heat resulted in economic losses of $0.05 million in Ecuador to $90.6 million in Brazil. Conclusion: Most of the mortality burden for Central and South American countries is caused by cold compared to heat, generating annual economic losses of $2.1 billion and $290.7 million, respectively. Public health policies and adaptation measures in the region should account for the health effects associated with nonoptimal temperatures.

Indexed as

Central and South AmericaDistributed lag nonlinear modelsEconomic lossMortality burdenMulticountryNonoptimal temperaturesTime series

Identifiers

PMID39399733
PMCPMC11469888

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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.