Modelling variations of emergency attendances using data on community mobility, climate and air pollution

Air pollution is associated with morbidity and mortality worldwide. We investigated the impact of improved air quality during the economic lockdown during the SARS-Cov2 pandemic on emergency room (ER) admissions in Germany. Weekly aggregated clinical data from 33 hospitals were collected in 2019 and...

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Vydané v:Scientific reports Ročník 13; číslo 1; s. 20595 - 13
Hlavní autori: Weismann, Dirk, Möckel, Martin, Paeth, Heiko, Slagman, Anna
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: London Nature Publishing Group UK 23.11.2023
Nature Publishing Group
Nature Portfolio
Predmet:
692/1807/1809
692/308/2778
692/699/2732
692/699/75
692/700/459/1748
704/106/694/2739/2807
704/172/4081
Air Pollutants - analysis
Air Pollution
Air quality
Carbon monoxide
Climate change
Emergency medical care
Ground stations
Humanities and Social Sciences
Humans
Mobility
Morbidity
multidisciplinary
Nitric Oxide
Nitrogen dioxide
Nitrogen Dioxide - analysis
Outdoor air quality
Ozone - analysis
Particulate matter
Particulate Matter - analysis
RNA, Viral
Science
Science (multidisciplinary)
Severe acute respiratory syndrome coronavirus 2
Sulfur
Sulfur dioxide
Sulfur Dioxide - analysis
Variation
ISSN:2045-2322, 2045-2322
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Shrnutí:Air pollution is associated with morbidity and mortality worldwide. We investigated the impact of improved air quality during the economic lockdown during the SARS-Cov2 pandemic on emergency room (ER) admissions in Germany. Weekly aggregated clinical data from 33 hospitals were collected in 2019 and 2020. Hourly concentrations of nitrogen and sulfur dioxide (NO2, SO2), carbon and nitrogen monoxide (CO, NO), ozone (O3) and particulate matter (PM10, PM2.5) measured by ground stations and meteorological data (ERA5) were selected from a 30 km radius around the corresponding ED. Mobility was assessed using aggregated cell phone data. A linear stepwise multiple regression model was used to predict ER admissions. The average weekly emergency numbers vary from 200 to over 1600 cases (total n = 2,216,217). The mean maximum decrease in caseload was 5 standard deviations. With the enforcement of the shutdown in March, the mobility index dropped by almost 40%. Of all air pollutants, NO2 has the strongest correlation with ER visits when averaged across all departments. Using a linear stepwise multiple regression model, 63% of the variation in ER visits is explained by the mobility index, but still 6% of the variation is explained by air quality and climate change.
Bibliografia:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
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ISSN:2045-2322
2045-2322
DOI:10.1038/s41598-023-47857-4