Evidence map›Paper›PMID 41325563›Full record

ArticleBiomedica : revista del Instituto Nacional de Salud2025

Early warning system for high temperatures and heat waves: The need for a public health policy in Colombia

Alexander Salazar-Ceballos, Lídice Álvarez-Miño

Abstract readEnglish Abstract
In one paragraph

Article in Biomedica : revista del Instituto Nacional de Salud, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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

2 authors.

Alexander Salazar-CeballosGrupo de Investigación GRISAL, Programa de Enfermería, Universidad Cooperativa de Colombia, Santa Marta, Colombia.ORCID 0000-0002-0708-8792
Lídice Álvarez-MiñoGrupo de Investigación GICCE, Programa de Enfermería, Universidad del Magdalena, Santa Marta, Colombia.ORCID 0000-0002-1414-9442

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The rise in global temperatures, accelerated by ongoing climate change, requires promotion of public health policies, such as the creation of early warning systems for high temperatures and heatwaves, to reduce the risk to the most vulnerable population groups, including children, pregnant women, and older people. Scientific evidence supports that pregnant women are at greater risk of preterm birth during exposure to high temperatures; adults and children may be at risk of dehydration, and adults over 65 years may be at higher risk of heart disease. This paper analyzes some of the early warning systems for high temperatures and heatwaves in various countries, with a focus on reducing risks to human health. In Colombia, current regulations allow the creation of early warning systems for high temperatures. The Plan decenal de salud pública 2022-2031, established by Resolution 2367 of 2023, through strategic axis 5: “climate change, emergencies, disasters, and pandemics”, calls for the development of intersectoral work for health management associated with these phenomena. This plan has as its strategic territorial goal that the different territories generate early warning systems by 2031 to reduce the impact of the threats exacerbated by climate change. Finally, we present a climate-risk-based framework and invite government institutions to lead this process.

Indexed as

Health PolicyHot TemperaturePublic HealthAdultAgedChildClimate ChangeColombiaExtreme HeatFemaleHumansPregnancyagedchild healthclimate changeearly warningextreme heatpregnant peoplepublic healthvulnerable populations

Identifiers

PMID41325563
PMCPMC12788378

What OpenQuestion holds

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LicenceCC BY
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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.