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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...

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Autores principales: Schmiege, Dennis, Haselhoff, Timo, Ahmed, Salman, Anastasiou, Olympia Evdoxia, Moebus, Susanne
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9836336/
https://www.ncbi.nlm.nih.gov/pubmed/36635521
http://dx.doi.org/10.1007/s11524-022-00708-5
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author Schmiege, Dennis
Haselhoff, Timo
Ahmed, Salman
Anastasiou, Olympia Evdoxia
Moebus, Susanne
author_facet Schmiege, Dennis
Haselhoff, Timo
Ahmed, Salman
Anastasiou, Olympia Evdoxia
Moebus, Susanne
author_sort Schmiege, Dennis
collection PubMed
description 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11524-022-00708-5.
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spelling pubmed-98363362023-01-17 Associations Between Built Environment Factors and SARS-CoV-2 Infections at the Neighbourhood Level in a Metropolitan Area in Germany Schmiege, Dennis Haselhoff, Timo Ahmed, Salman Anastasiou, Olympia Evdoxia Moebus, Susanne J Urban Health Original Article 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11524-022-00708-5. Springer US 2023-01-12 2023-02 /pmc/articles/PMC9836336/ /pubmed/36635521 http://dx.doi.org/10.1007/s11524-022-00708-5 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Original Article
Schmiege, Dennis
Haselhoff, Timo
Ahmed, Salman
Anastasiou, Olympia Evdoxia
Moebus, Susanne
Associations Between Built Environment Factors and SARS-CoV-2 Infections at the Neighbourhood Level in a Metropolitan Area in Germany
title Associations Between Built Environment Factors and SARS-CoV-2 Infections at the Neighbourhood Level in a Metropolitan Area in Germany
title_full Associations Between Built Environment Factors and SARS-CoV-2 Infections at the Neighbourhood Level in a Metropolitan Area in Germany
title_fullStr Associations Between Built Environment Factors and SARS-CoV-2 Infections at the Neighbourhood Level in a Metropolitan Area in Germany
title_full_unstemmed Associations Between Built Environment Factors and SARS-CoV-2 Infections at the Neighbourhood Level in a Metropolitan Area in Germany
title_short Associations Between Built Environment Factors and SARS-CoV-2 Infections at the Neighbourhood Level in a Metropolitan Area in Germany
title_sort associations between built environment factors and sars-cov-2 infections at the neighbourhood level in a metropolitan area in germany
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9836336/
https://www.ncbi.nlm.nih.gov/pubmed/36635521
http://dx.doi.org/10.1007/s11524-022-00708-5
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