PuSH - Publikationsserver des Helmholtz Zentrums München: Modulation of COVID-19 incidence by environmental stressors is variant between pre-Omicron and Omicron periods.

Informationen

Hinweise zu Qualitätskriterien von Zeitschriften

Open-Access-Richtlinie der Helmholtz-Gemeinschaft 2016

CC Licencences

Metriken für Publikationen

Navigation

Startseite

English

EVA: Veröffentlichen

Neuer EVA Antrag

Recherche

Erweiterte Suche

Durchblättern nach ...

... HMGU-Autoren/Konsortien

... Organisationsstruktur

... Zeitschriften

... Publikationstypen

... Forschungsdaten

... Arbeitsgruppen

... Erscheinungsjahr

Publikationen im Überblick

Statistik

HGF Fortschrittsbericht

OA Publikationen

Eintragen

Neue Publikation eintragen

Neue Publikation holen aus...

...EVA

Fehlende Publikation melden

Highlights

Suche

Hilfe & Kontakt

Ansprechpartner

Hilfe

Datenschutz

Helmholtz Open Science

Bibliometrische Indikatoren

SHERPA/RoMEO

DOAJ

Export:

Text

Endnote (RIS) BIB

BibTeX

Hoffmann, L.* ; Gilardi, L.* ; Antoni, T.* ; Baltruweit, M.* ; Bittner, M.* ; Breitner-Busch, S. ; Dally, S.* ; Erbertseder, T.* ; Hawighorst-Knapstein, S.* ; Schmitz, M.T.* ; Schneider, R.* ; Wüst, S.* ; Rittweger, J.*

Modulation of COVID-19 incidence by environmental stressors is variant between pre-Omicron and Omicron periods.

Sci. Rep. 15:27636 (2025)

Verlagsversion

Forschungsdaten

DOI

PMC

	Open Access Gold

Abstract
Metriken
Zusatzinfos

COVID-19 had a devastating impact on humanity. We investigated how residential air pollution (ozone (O₃), nitrogen dioxide (NO₂), fine particulate matter (PM_2.5)) and meteorological factors (temperature (Temp), precipitation (Prec)) are associated with COVID-19 incidence in Baden-Württemberg (BW), Germany. We utilized data from the Copernicus Atmosphere Monitoring Service and the Copernicus Climate Change Service to model environmental exposure from 2020 to 2022 in postal code areas in BW. Health insurance data on SARS-CoV-2 infections were provided from the health insurance AOK BW on a quarterly level covering approximately 12 million person-years. We examined the spatiotemporal variability with a generalized additive model including various stressors, demographic factors, and area-wide data, offering a comprehensive analysis of the environmental stressor- COVI-10 incidence associations. In 2022, during the prevalence of the Omicron variant, the number of COVID-19 cases tripled compared to 2020. During the pre-Omicron period, COVID-19 incidence showed a positive association with PM_2.5 (relative risk [RR] 2.41; 95% confidence interval [CI] (2.31, 2.52)), a negative association with Temp (RR 0.39 (0.32, 0.48)), and no clear or slight associations with O₃, Prec, and NO₂. During the Omicron period, there were either no clear or slight negative associations with Temp (RR 0.92 (0.74, 1.30)), PM_2·5 (RR 0.70 (0.64, 0.79)), NO₂, and Prec and a negative association with O₃ (RR 0.46 (0.40, 0.53)). The analysis found clear links between environmental stressors and COVID-19 incidence, which strongly differed between pre-Omicron and Omicron periods. Consideration of environmental stressor concentration could be relevant in the management of the pandemic.

Impact Factor

Scopus SNIP

Altmetric

3.900

0.000