Evidence map›Paper›PMID 39725968›Full record

ArticleEnvironmental health : a global access science source2024

The association between different timeframes of air pollution exposure and COVID-19 incidence, morbidity and mortality in German counties in 2020.

Sophie Hermanns, Erika von Schneidemesser, Alexandre Caseiro, Susanne Koch

Abstract read
In one paragraph

Article in Environmental health : a global access science source, 2024. 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

4 authors.

Sophie HermannsBerlin School of Public Health, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt Universität zu Berlin, Berlin, Germany.
Erika von SchneidemesserResearch Institute for Sustainability - Helmholtz Centre Potsdam, Potsdam, Germany.
Alexandre CaseiroResearch Institute for Sustainability - Helmholtz Centre Potsdam, Potsdam, Germany.
Susanne KochDepartment of Anesthesiology and Intensive Care Medicine, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt Universität zu Berlin, Campus Virchow-Klinikum, Augustenburger Platz 1, Berlin, 13353, Germany. susanne.koch@charite.de.ORCID 0000-0001-5663-7447

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAmbient air pollution is a known risk factor for several chronic health conditions, including pulmonary dysfunction. In recent years, studies have shown a positive association between exposure to air pollutants and the incidence, morbidity, and mortality of a COVID-19 infection, however the time period for which air pollution exposure is most relevant for the COVID-19 outcome is still not defined. The aim of this study was to analyze the difference in association when varying the time period of air pollution exposure considered on COVID-19 infection within the same cohort during the first wave of the pandemic in 2020.

methodsWe conducted a cross-sectional study analyzing the association between long- (10- and 2-years) and short-term (28 days, 7 days, and 2 days) exposure to NO

resultsWe found that PM

conclusionsOur findings show a positive association between PM

trial registrationNot applicable.

Indexed as

Air PollutantsAir PollutionCOVID-19Environmental ExposureNitrogen DioxideParticulate MatterAdultAgedCross-Sectional StudiesFemaleGermanyHumansIncidenceMaleMiddle AgedMorbidityAir PollutantsNitrogen DioxideParticulate MatterAir pollutionCOVID-19Intensive care medicineLong-term exposureMechanical ventilationMortalityNitrogen dioxideParticulate matterSARS-CoV-2Short-term exposure

Identifiers

PMID39725968
PMCPMC11670380

What Socratic 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 Socratic graph.