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基于污水的流行病学和 SARS-CoV-2:意大利南部普利亚地区(意大利南部)的变种趋势及其对一些环境参数的影响。

Wastewater-based Epidemiology and SARS-CoV-2: Variant Trends in the Apulia Region (Southern Italy) and Effect of Some Environmental Parameters.

机构信息

Interdisciplinary Department of Medicine, University of Bari Aldo Moro, Piazza G. Cesare 11, Bari, 70124, Italy.

Department of Biological and Environmental Sciences and Technologies, University of Salento, Campus Ecotekne, Monteroni di Lecce, Lecce, 73047, Italy.

出版信息

Food Environ Virol. 2023 Dec;15(4):331-341. doi: 10.1007/s12560-023-09565-0. Epub 2023 Sep 21.

DOI:10.1007/s12560-023-09565-0
PMID:37735299
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10654208/
Abstract

During the COVID-19 pandemic, wastewater monitoring has been used to monitor the levels of SARS-CoV-2 RNA entering the sewerage system. In Italy, the Istituto Superiore di Sanità coordinated the SARI project (Sorveglianza Ambientale Reflue in Italia) to detect SARS-CoV-2 and its variants. In this study, the concentration of SARS-CoV-2 and its variants in raw wastewater against COVID-19 cases was evaluated together with the effect of temperature and precipitation on virus spread. We validated a predictive model, proposed by De Giglio et al., 2021, to establish the number of COVID-19 cases/100,000 inhabitants. A receiver operating characteristic curve model was applied to predict the number of COVID-19 cases and Poisson regression was applied to study the effect of temperature and rainfall on viral load. In Apulia, from October 2021 to December 2022, we analyzed 1041 samples, of which 985 (94.6%) tested positive for SARS-CoV-2. Median atmospheric temperature was inversely proportional to viral load in wastewater; no correlation was found with precipitation. The predictive model confirmed that at least 11 cases/100,000 inhabitants would occur in the 15 days following the detection of the virus in wastewater. Environmental surveillance of SARS-CoV-2 can be used to map the virus and its variants.

摘要

在 COVID-19 大流行期间,污水监测被用于监测进入污水系统的 SARS-CoV-2 RNA 的水平。在意大利,国家卫生研究所协调了 SARI 项目(Sorveglianza Ambientale Reflue in Italia),以检测 SARS-CoV-2 及其变体。在这项研究中,评估了 SARS-CoV-2 及其变体在未经处理的废水中的浓度与 COVID-19 病例之间的关系,以及温度和降水对病毒传播的影响。我们验证了由 De Giglio 等人提出的预测模型,该模型用于确定每 10 万居民中的 COVID-19 病例数。应用了接收器工作特征曲线模型来预测 COVID-19 病例数,并应用泊松回归来研究温度和降雨量对病毒载量的影响。在 2021 年 10 月至 2022 年 12 月期间,我们分析了来自普利亚大区的 1041 个样本,其中 985 个(94.6%)对 SARS-CoV-2 检测呈阳性。大气温度的中位数与废水中的病毒载量呈反比;与降水无相关性。预测模型证实,在检测到污水中存在病毒后的 15 天内,至少会出现 11 例/10 万居民的病例。对 SARS-CoV-2 的环境监测可用于绘制病毒及其变体的图谱。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/301e/10654208/f038a23db1e3/12560_2023_9565_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/301e/10654208/35334d3d8603/12560_2023_9565_Figa_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/301e/10654208/2a94127f4434/12560_2023_9565_Figb_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/301e/10654208/f038a23db1e3/12560_2023_9565_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/301e/10654208/35334d3d8603/12560_2023_9565_Figa_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/301e/10654208/2a94127f4434/12560_2023_9565_Figb_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/301e/10654208/f038a23db1e3/12560_2023_9565_Fig3_HTML.jpg

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