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2
Presence of SARS-Coronavirus-2 RNA in Sewage and Correlation with Reported COVID-19 Prevalence in the Early Stage of the Epidemic in The Netherlands.荷兰疫情早期污水中严重急性呼吸综合征冠状病毒2(SARS-CoV-2)RNA的存在及其与报告的COVID-19患病率的相关性
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Implementation of environmental surveillance for SARS-CoV-2 virus to support public health decisions: Opportunities and challenges.实施严重急性呼吸综合征冠状病毒2(SARS-CoV-2)病毒环境监测以支持公共卫生决策:机遇与挑战。
Curr Opin Environ Sci Health. 2020 Oct;17:49-71. doi: 10.1016/j.coesh.2020.09.006. Epub 2020 Oct 1.
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Making waves: Wastewater-based epidemiology for COVID-19 - approaches and challenges for surveillance and prediction.掀起波澜:基于污水的 COVID-19 流行病学——监测和预测的方法和挑战。
Water Res. 2020 Nov 1;186:116404. doi: 10.1016/j.watres.2020.116404. Epub 2020 Sep 9.
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6
Decay of SARS-CoV-2 and surrogate murine hepatitis virus RNA in untreated wastewater to inform application in wastewater-based epidemiology.未经处理的污水中 SARS-CoV-2 和替代鼠肝炎病毒 RNA 的衰减情况,以了解其在基于污水的流行病学中的应用。
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SARS-CoV-2 has been circulating in northern Italy since December 2019: Evidence from environmental monitoring.自 2019 年 12 月以来,SARS-CoV-2 一直在意大利北部传播:来自环境监测的证据。
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1 小时和 24 小时组合污水样本中指示病毒和病原病毒的日内变异性:对基于污水的流行病学的启示。

Intraday variability of indicator and pathogenic viruses in 1-h and 24-h composite wastewater samples: Implications for wastewater-based epidemiology.

机构信息

CSIRO Land and Water, Ecosciences Precinct, 41 Boggo Road, QLD, 4102, Australia.

Department of Civil & Environmental Engineering & Earth Sciences, 156 Fitzpatrick Hall, University of Notre Dame, Notre Dame, IN, 46656, USA.

出版信息

Environ Res. 2021 Feb;193:110531. doi: 10.1016/j.envres.2020.110531. Epub 2020 Nov 26.

DOI:10.1016/j.envres.2020.110531
PMID:33249042
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8267967/
Abstract

We monitored the concentration of indicator viruses crAssphage and pepper mild mottle virus (PMMoV) and human pathogen adenovirus (HAdV) in influent from a wastewater treatment plant in Brisbane, Australia in 1-h and 24-h composite samples. Over three days of sampling, the mean concentration of crAssphage gene copies (GC)/mL in 24-h composite samples did not differ significantly (p = 0.72-0.92), while for PMMoV GC/mL (p value range: 0.0002-0.0321) and HAdV GC/mL (p value range: 0.0028-0.0068) significant differences in concentrations were observed on one day of sampling compared to the other two. For all three viruses, the variation observed in 1-h composite samples was greater than the variation observed in 24-h composite samples. For crAssphage, in 54.1% of 1-h composite samples, the concentration was less than that observed in 24-h composite samples; whereas for PMMoV and HAdV the concentration was less in 79.2 and 70.9% of 1-h composite samples, respectively, compared to the relevant 24-h composite samples. Similarly, the concentration of crAssphage in 1-h compared to 24-h composite samples did not differ (p = 0.1082) while the concentrations of PMMoV (p < 0.0001) and HAdV (p < 0.0001) in 1-h composite samples were significantly different from 24-h composite samples. These results suggest that 24-h composite samples offer increased analytical sensitivity and decreased variability compared to 1-h composite samples when monitoring wastewater, especially for pathogenic viruses with low infection rates within a community. Thus, for wastewater-based epidemiology applications, 24-h composite samples are less likely to produce false negative results and erroneous public health information.

摘要

我们监测了澳大利亚布里斯班一家污水处理厂的进水样本中指示病毒 crAssphage 和辣椒轻斑驳病毒 (PMMoV) 以及人类病原体腺病毒 (HAdV) 的浓度,以 1 小时和 24 小时的混合样本进行监测。在三天的采样过程中,24 小时混合样本中 crAssphage 基因拷贝数 (GC)/mL 的平均值没有显著差异 (p=0.72-0.92),而 PMMoV GC/mL (p 值范围:0.0002-0.0321) 和 HAdV GC/mL (p 值范围:0.0028-0.0068) 的浓度在一天的采样中与其他两天相比存在显著差异。对于所有三种病毒,1 小时混合样本中的变化大于 24 小时混合样本中的变化。对于 crAssphage,在 54.1%的 1 小时混合样本中,浓度低于 24 小时混合样本;而对于 PMMoV 和 HAdV,在 79.2%和 70.9%的 1 小时混合样本中,浓度分别低于相应的 24 小时混合样本。同样,crAssphage 在 1 小时与 24 小时混合样本中的浓度没有差异 (p=0.1082),而 PMMoV (p<0.0001) 和 HAdV (p<0.0001) 在 1 小时混合样本中的浓度与 24 小时混合样本中的浓度有显著差异。这些结果表明,与 1 小时混合样本相比,24 小时混合样本在监测废水时提供了更高的分析灵敏度和更低的变异性,尤其是对于社区内感染率较低的致病性病毒。因此,对于基于废水的流行病学应用,24 小时混合样本不太可能产生假阴性结果和错误的公共卫生信息。

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