Evidence map›Paper›PMID 38228665›Full record

ArticleScientific data2024

Hourly values of an advanced human-biometeorological index for diverse populations from 1991 to 2020 in Greece.

Christos Giannaros, Ilias Agathangelidis, Elissavet Galanaki, Constantinos Cartalis, Vassiliki Kotroni, Konstantinos Lagouvardos, Theodore M Giannaros, Andreas Matzarakis

Abstract readDataset
In one paragraph

Article in Scientific data, 2024. 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

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

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.

Christos GiannarosNational and Kapodistrian University of Athens, Department of Physics, 15784, Athens, Greece. cgiannaros@phys.uoa.gr.ORCID http://orcid.org/0000-0001-9757-4462
Ilias AgathangelidisNational and Kapodistrian University of Athens, Department of Physics, 15784, Athens, Greece.
Elissavet GalanakiNational Observatory of Athens, Institute for Environmental Research and Sustainable Development, Palea Penteli, 15236, Athens, Greece.
Constantinos CartalisNational and Kapodistrian University of Athens, Department of Physics, 15784, Athens, Greece.
Vassiliki KotroniNational Observatory of Athens, Institute for Environmental Research and Sustainable Development, Palea Penteli, 15236, Athens, Greece.ORCID http://orcid.org/0000-0003-1248-5490
Konstantinos LagouvardosNational Observatory of Athens, Institute for Environmental Research and Sustainable Development, Palea Penteli, 15236, Athens, Greece.
Theodore M GiannarosNational Observatory of Athens, Institute for Environmental Research and Sustainable Development, Palea Penteli, 15236, Athens, Greece.
Andreas MatzarakisGerman Meteorological Service (DWD), Research Centre Human Biometeorology, D-79085, Freiburg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Existing assessments of the thermal-related impact of the environment on humans are often limited by the use of data that are not representative of the population exposure and/or not consider a human centred approach. Here, we combine high resolution regional retrospective analysis (reanalysis), population data and human energy balance modelling, in order to produce a human thermal bioclimate dataset capable of addressing the above limitations. The dataset consists of hourly, population-weighted values of an advanced human-biometeorological index, namely the modified physiologically equivalent temperature (mPET), at fine-scale administrative level and for 10 different population groups. It also includes the main environmental drivers of mPET at the same spatiotemporal resolution, covering the period from 1991 to 2020. The study area is Greece, but the provided code allows for the ease replication of the dataset in countries included in the domains of the climate reanalysis and population data, which focus over Europe. Thus, the presented data and code can be exploited for human-biometeorological and environmental epidemiological studies in the European continent.

Identifiers

PMID38228665
PMCPMC10791640

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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.