Evidence map›Paper›PMID 42690407›Full record

ArticleRevista brasileira de epidemiologia = Brazilian journal of epidemiology2026

Definition of mortality-associated thermal markers for an extreme heat alert system in Belo Horizonte, Minas Gerais, Brazil.

Taíza Pinho Barroso Lucas, Amanda Silva Magalhães, Daniele Gomes Ferreira, Gabriel Andrade Camilo, Magda do Carmo Parajára, Fernanda Carvalho de Menezes, Aline Dayrell Ferreira Sales, Waleska Teixeira Caiaffa

Abstract read
In one paragraph

Article in Revista brasileira de epidemiologia = Brazilian journal of epidemiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Taíza Pinho Barroso LucasPrefeitura de Belo Horizonte, Special Coordination for Climate Change - Belo Horizonte (MG), Brazil.ORCID http://orcid.org/0000-0001-5554-5161
Amanda Silva MagalhãesUniversidade Federal de Minas Gerais, Observatory for Urban Health in Belo Horizonte - Belo Horizonte (MG), Brazil.ORCID http://orcid.org/0000-0001-5112-2866
Daniele Gomes FerreiraUniversidade Federal de Minas Gerais, Observatory for Urban Health in Belo Horizonte - Belo Horizonte (MG), Brazil.ORCID http://orcid.org/0000-0001-9890-1963
Gabriel Andrade CamiloPrefeitura de Belo Horizonte, Special Coordination for Climate Change - Belo Horizonte (MG), Brazil.ORCID http://orcid.org/0000-0003-2333-070X
Magda do Carmo ParajáraUniversidade Federal de Minas Gerais, Observatory for Urban Health in Belo Horizonte - Belo Horizonte (MG), Brazil.ORCID http://orcid.org/0000-0001-7019-1365
Fernanda Carvalho de MenezesUniversidade Federal de Minas Gerais, Observatory for Urban Health in Belo Horizonte - Belo Horizonte (MG), Brazil.ORCID http://orcid.org/0000-0002-2413-1633
Aline Dayrell Ferreira SalesUniversidade Federal de Minas Gerais, Observatory for Urban Health in Belo Horizonte - Belo Horizonte (MG), Brazil.ORCID http://orcid.org/0000-0002-7848-6835
Waleska Teixeira CaiaffaPrefeitura de Belo Horizonte, Special Coordination for Climate Change - Belo Horizonte (MG), Brazil.ORCID http://orcid.org/0000-0001-5043-4980

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo estimate daily maximum temperature markers for defining heat wave alert levels in Belo Horizonte, Minas Gerais, Brazil.

methodsthe association between daily maximum temperature and mortality was estimated using quasi-Poisson regression with distributed lag non-linear models, considering lags from 0 to 21 days and adjustment for temporal trend, seasonality, and day of the week. The minimum mortality temperature was used as the reference for estimating relative risks, and high percentiles supported the definition of operational thresholds.

resultsThe minimum mortality temperature was 29.3°C. Mortality risk increased at higher percentiles, with relative risks of 1.04 at the 90th percentile; 1.09 at the 95th percentile; 1.17 at the 98th percentile; and 1.26 at the 99th percentile. Four levels based on maximum temperature and thermal persistence were proposed: Alert 1, mild heat wave (32.0-33.1°C/3 days); Alert 2, moderate heat wave (33.2-34.6°C/3 days); Alert 3, intense heat wave (34.7-35.8°C/3 days); and Alert 4, extreme heat wave (>35.8°C/2 days). A higher frequency of heat waves was observed in years associated with El Niño.

conclusionMarkers based on high percentiles of maximum temperature produced levels consistent with the increased mortality risk, with potential application in public health surveillance and response.

Indexed as

Extreme HeatHot TemperatureMortalityBrazilHumansSeasons

Identifiers

PMID42690407
PMCPMC13524307

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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.