Associations Between Built Environment Factors and SARS-CoV-2 Infections at the Neighbourhood Level in a Metropolitan Area in Germany.
COVID-19-related health outcomes displayed distinct geographical patterns within countries. The transmission of SARS-CoV-2 requires close spatial proximity of people, which can be influenced by the built environment. Only few studies have analysed SARS-CoV-2 infections related to the built environme...
| Publicado en: | Journal of Urban Health Vol. 100; no. 1; pp. 40 - 51 |
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| Autores principales: | , , , , |
| Formato: | Artículo |
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Springer Nature
Feb2023
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=161823373&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 161823373 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 10993460 GMF jtl: Journal of Urban Health issn: 10993460 maglogo: N pubinfo: dt: Feb2023 vid: 100 iid: 1 pid: 237 pub: Springer Nature artinfo: ui: 161823373 10.1007/s11524-022-00708-5 ppf: 40 ppct: 11 formats: fmt: – @attributes: type: T – @attributes: type: P size: 880KB tig: atl: Associations Between Built Environment Factors and SARS-CoV-2 Infections at the Neighbourhood Level in a Metropolitan Area in Germany. aug: au: Schmiege, Dennis Haselhoff, Timo Ahmed, Salman Anastasiou, Olympia Evdoxia Moebus, Susanne affil: Institute for Urban Public Health (InUPH), University Hospital Essen, University of Duisburg-Essen, 45130, Essen, Germany Institute of Virology, University Hospital Essen, University of Duisburg-Essen, 45147, Essen, Germany su: Essen (Germany) Germany Built environment Metropolitan areas Neighborhoods Normalized difference vegetation index SARS-CoV-2 sug: subj: Built environment Metropolitan areas Neighborhoods Essen (Germany) Germany Normalized difference vegetation index SARS-CoV-2 keyword: COVID-19 Environmental health Small-scale Spatial analysis Urban health COVID-19 Environmental health Small-scale Spatial analysis Urban health ab: COVID-19-related health outcomes displayed distinct geographical patterns within countries. The transmission of SARS-CoV-2 requires close spatial proximity of people, which can be influenced by the built environment. Only few studies have analysed SARS-CoV-2 infections related to the built environment within urban areas at a high spatial resolution. This study examined the association between built environment factors and SARS-CoV-2 infections in a metropolitan area in Germany. Polymerase chain reaction (PCR)-confirmed SARS-CoV-2 infections of 7866 citizens of Essen between March 2020 and May 2021 were analysed, aggregated at the neighbourhood level. We performed spatial regression analyses to investigate associations between the cumulative number of SARS-CoV-2 infections per 1000 inhabitants (cum. SARS-CoV-2 infections) up to 31.05.2021 and built environment factors. The cum. SARS-CoV-2 infections in neighbourhoods (median: 11.5, IQR: 8.1–16.9) followed a marked socially determined north–south gradient. The effect estimates of the adjusted spatial regression models showed negative associations with urban greenness, i.e. normalized difference vegetation index (NDVI) (adjusted β = − 35.36, 95% CI: − 57.68; − 13.04), rooms per person (− 10.40, − 13.79; − 7.01), living space per person (− 0.51, − 0.66; − 0.36), and residential (− 0.07, 0.16; 0.01) and commercial areas (− 0.15, − 0.25; − 0.05). Residential areas with multi-storey buildings (− 0.03, − 0.12; 0.06) and green space (0.03, − 0.05; 0.11) did not show a substantial association. Our results suggest that the built environment matters for the spread of SARS-CoV-2 infections, such as more spacious apartments or higher levels of urban greenness are associated with lower infection rates at the neighbourhood level. The unequal intra-urban distribution of these factors emphasizes prevailing environmental health inequalities regarding the COVID-19 pandemic. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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