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波兰城市县开放城市灰色空间中的潜在物理距离与整个疫情期间的新冠病例及死亡情况。

Potential physical distance in the open urban grey space of city counties in Poland and COVID-19 cases and deaths throughout the pandemic.

作者信息

Suligowski Roman, Ciupa Tadeusz

机构信息

Faculty of Exact and Natural Sciences, Jan Kochanowski University, Institute of Geography and Environmental Sciences, Uniwersytecka Str. 7, Kielce, 25-349, Poland.

出版信息

Arch Public Health. 2025 Mar 25;83(1):80. doi: 10.1186/s13690-025-01563-x.

Abstract

BACKGROUND

This paper reports the structure of grey space and the number of cases and deaths throughout the COVID-19 pandemic (from March 2020 to June 2023) in 66 city counties in Poland.

METHODS

Three main components of urban grey space (built-up areas, transport areas, and industrial areas) and the potential physical distance between residents in the open grey space - was determined. The total number of COVID-19 cases and deaths covered the entire period of the pandemic (totalling 1,214 days) was identified. The incidence and mortality density rates and the case fatality ratio were calculated. Simple and multiple linear regression models were developed to predict the quantitative characteristics of COVID-19 independent of city size.

RESULTS

Within the open spaces of cities, the average distance between residents was 17.7 m and was several times greater than that in closed spaces (1.5-2.0 m), which significantly reduced the risk of COVID-19 infection. Strong relationships were observed between the potential physical distance in the grey space structure and the total number of COVID-19 cases and deaths. The coefficient of determination (R) for these relationships in the eight city groups by population was 0.90 for cases and 0.88 for deaths (significance level p = 0.001).

CONCLUSION

The study contributes to understanding how potential physical distance based on population density in grey space, might have influenced the course of COVID-19 during the pandemic. These findings can be applied to planning antiviral protection and to implementing future multilevel restrictions aimed at reducing the reproduction of SARS-CoV-2 in cities of various sizes.

摘要

背景

本文报告了波兰66个城市县在整个新冠疫情期间(2020年3月至2023年6月)灰色空间的结构以及病例数和死亡数。

方法

确定了城市灰色空间的三个主要组成部分(建成区、交通区和工业区)以及开放灰色空间中居民之间的潜在物理距离。确定了整个疫情期间(共1214天)的新冠病例和死亡总数。计算了发病率、死亡率密度率和病死率。建立了简单和多元线性回归模型,以预测与城市规模无关的新冠疫情的定量特征。

结果

在城市的开放空间中,居民之间的平均距离为17.7米,是封闭空间(1.5 - 2.0米)的几倍,这显著降低了新冠感染的风险。在灰色空间结构中的潜在物理距离与新冠病例和死亡总数之间观察到强相关性。按人口划分的八个城市组中,这些关系的决定系数(R)对于病例为0.90,对于死亡为0.88(显著性水平p = 0.001)。

结论

该研究有助于理解基于灰色空间人口密度的潜在物理距离在疫情期间可能如何影响新冠疫情的进程。这些发现可应用于规划抗病毒保护以及实施未来旨在减少不同规模城市中新冠病毒传播的多级限制措施。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4377/11934665/24df2050be89/13690_2025_1563_Fig1_HTML.jpg

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