Evidence map›Paper›PMID 38472290›Full record

ArticleScientific reports2024

Investigating the spatiotemporal associations between meteorological conditions and air pollution in the federal state Baden-Württemberg (Germany).

Leona Hoffmann, Lorenza Gilardi, Marie-Therese Schmitz, Thilo Erbertseder, Michael Bittner, Sabine Wüst, Matthias Schmid, Jörn Rittweger

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
4.4field-weighted citation impact, top 5% of its field
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

2 citing papers in PubMed, 14 citations in OpenAlex.

  1. UV Index from ERA5 reanalysis.Scientific reports · 2026
    Article
  2. 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 at 3 institutions in 1 country.

Leona HoffmannInstitute of Aerospace Medicine, German Aerospace Center (DLR), Cologne, Germany. leona.hoffmann@dlr.de.
Lorenza GilardiGerman Remote Sensing Data Center, German Aerospace Center (DLR), Weßling, Germany.
Marie-Therese SchmitzInstitute of Medical Biometry, Informatics and Epidemiology, University Hospital Bonn, Bonn, Germany.
Thilo ErbertsederGerman Remote Sensing Data Center, German Aerospace Center (DLR), Weßling, Germany.
Michael BittnerGerman Remote Sensing Data Center, German Aerospace Center (DLR), Weßling, Germany.
Sabine WüstGerman Remote Sensing Data Center, German Aerospace Center (DLR), Weßling, Germany.
Matthias SchmidInstitute of Medical Biometry, Informatics and Epidemiology, University Hospital Bonn, Bonn, Germany.
Jörn RittwegerInstitute of Aerospace Medicine, German Aerospace Center (DLR), Cologne, Germany.
Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR) · DEZimmer Biomet (Germany) · DEUniversity Hospital Cologne · DE

Funding

Deutsche Forschungsgesellschaft (DFG) 58531714
6 · The paper itself

Abstract

When analyzing health data in relation to environmental stressors, it is crucial to identify which variables to include in the statistical model to exclude dependencies among the variables. Four meteorological parameters: temperature, ultraviolet radiation, precipitation, and vapor pressure and four outdoor air pollution parameters: ozone (

Indexed as

Air PollutantsAir PollutionOzoneEnvironmental MonitoringNitrogen DioxideParticulate MatterUltraviolet RaysAir PollutantsNitrogen DioxideOzoneParticulate MatterAir pollutionCross-correlationEnvironmental stressorsLISAMeteorological data

Identifiers

PMID38472290
PMCPMC10933279
OpenAlexW4392886281

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.