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用于新冠疫情监测的全市范围建筑环境严重急性呼吸综合征冠状病毒2检测

City-wide built environment SARS-CoV-2 detection for COVID-19 surveillance.

作者信息

MacFadden Derek R, Fralick Michael, Nott Caroline, Moggridge Jason A, Hicks Alexandra M A, Van Bakel Tamara, Doukhanine Evgueni, Hinz Aaron, Thampi Nisha, Bastien Pascal, Mansour Sarah, Khov Engluy, Burhunduli Tasha, Manuel Douglas G, Wong Alex, Kassen Rees

机构信息

The Ottawa Hospital Research Institute, Ottawa, Ontario, Canada.

The Ottawa Hospital, Ottawa, Ontario, Canada.

出版信息

PLOS Glob Public Health. 2025 Sep 8;5(9):e0004306. doi: 10.1371/journal.pgph.0004306. eCollection 2025.

Abstract

Built environment surveillance has shown promise for monitoring COVID-19 burden at granular geographic scales, but its utility for surveillance across larger areas and populations is unknown. Our study aims to evaluate the role of built environment detection of SARS-CoV-2 for the surveillance of COVID-19 across broad geographies and populations. We conducted a prospective city-wide sampling study to examine the relationship between SARS-CoV-2 on floors and COVID-19 burden. We used non-parametric correlation analyses and linear models to evaluate associations between SARS-CoV-2 signals and COVID-19 outcomes, across multiple locations/populations over time. Sampling sites included schools, libraries, and emergency departments in the capital city of Ottawa, Canada, from October 2022 to March 2023. Floor sampling was performed across spaces, and outcomes were evaluated at aggregate levels. Detection (presence/absence) and quantification (viral load) of SARS-CoV-2 was determined by reverse-transcriptase polymerase chain reaction conducted on floor swabs collected weekly at study locations. The main outcomes, and measures of COVID-19 burden, were (1) weekly regional wastewater signal and (2) weekly admitted COVID-19 patient census from hospitals. We collected 1,863 built environment floor samples over the 6-month study period, with an overall swab positivity for SARS-CoV-2 of 45% (95%CI 43%-48%). We found a strong correlation between overall built environmental swab viral load and hospital COVID-19 census (Spearman's r = 0.64, p = 0.0017), but no correlation between regional wastewater and hospital COVID-19 census (Spearman's r = -0.15, p = 0.5). We found a strong correlation (Spearman's r = 0.76, p = 9x10-5) between hospital-specific swab viral copy number and hospital-specific COVID-19 census, which is a likely driver of the overall association between swab load and census. Built environment surveillance of SARS-CoV-2 from hospitals was strongly correlated with hospital burden with improved delineation of hospital COVID-19 cases compared to regional wastewater. These findings support the use of built environment surveillance for quantification of infectious burden amongst institutionalized groups.

摘要

建筑环境监测已显示出在细粒度地理尺度上监测新冠疫情负担的潜力,但其在更大区域和人群中的监测效用尚不清楚。我们的研究旨在评估建筑环境中检测严重急性呼吸综合征冠状病毒2(SARS-CoV-2)在广泛地理区域和人群中监测新冠疫情的作用。我们开展了一项全市范围的前瞻性抽样研究,以考察地面上的SARS-CoV-2与新冠疫情负担之间的关系。我们使用非参数相关分析和线性模型来评估SARS-CoV-2信号与新冠疫情结果之间在多个地点/人群随时间的关联。抽样地点包括加拿大渥太华市的学校、图书馆和急诊科,时间跨度为2022年10月至2023年3月。在各个空间进行地面采样,并在总体层面评估结果。通过对研究地点每周收集的地面拭子进行逆转录聚合酶链反应来确定SARS-CoV-2的检测(存在/不存在)和定量(病毒载量)。新冠疫情负担的主要结果和衡量指标为:(1)每周区域污水信号,以及(2)医院每周收治的新冠患者普查人数。在为期6个月的研究期间,我们共收集了1863份建筑环境地面样本,SARS-CoV-2拭子总体阳性率为45%(95%置信区间43%-48%)。我们发现建筑环境拭子总体病毒载量与医院新冠患者普查人数之间存在强相关性(斯皮尔曼等级相关系数r = 0.64,p = 0.0017),但区域污水与医院新冠患者普查人数之间无相关性(斯皮尔曼等级相关系数r = -0.15,p = 0.5)。我们发现医院特定拭子病毒拷贝数与医院特定新冠患者普查人数之间存在强相关性(斯皮尔曼等级相关系数r = 0.76,p = 9×10⁻⁵),这可能是拭子载量与普查人数之间总体关联的驱动因素。与区域污水相比,医院对SARS-CoV-2的建筑环境监测与医院负担密切相关,且能更好地描绘医院新冠病例情况。这些发现支持使用建筑环境监测来量化机构化群体中的感染负担。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5a2d/12416635/42a9c8d545b0/pgph.0004306.g001.jpg

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