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监测城市废水中的 SARS-CoV-2,以评估英国封锁措施控制 COVID-19 的成功程度。

Monitoring SARS-CoV-2 in municipal wastewater to evaluate the success of lockdown measures for controlling COVID-19 in the UK.

机构信息

School of Natural Sciences, Bangor University, Bangor, Gwynedd, LL57 2UW, United Kingdom.

School of Natural Sciences, Bangor University, Bangor, Gwynedd, LL57 2UW, United Kingdom; School of Ocean Sciences, Bangor University, Menai Bridge, Anglesey, LL59 5AB, United Kingdom.

出版信息

Water Res. 2021 Jul 15;200:117214. doi: 10.1016/j.watres.2021.117214. Epub 2021 May 8.

Abstract

SARS-CoV-2 and the resulting COVID-19 pandemic represents one of the greatest recent threats to human health, wellbeing and economic growth. Wastewater-based epidemiology (WBE) of human viruses can be a useful tool for population-scale monitoring of SARS-CoV-2 prevalence and epidemiology to help prevent further spread of the disease, particularly within urban centres. Here, we present a longitudinal analysis (March-July 2020) of SARS-CoV-2 RNA prevalence in sewage across six major urban centres in the UK (total population equivalent 3 million) by q(RT-)PCR and viral genome sequencing. Our results demonstrate that levels of SARS-CoV-2 RNA generally correlated with the abundance of clinical cases recorded within the community in large urban centres, with a marked decline in SARS-CoV-2 RNA abundance following the implementation of lockdown measures. The strength of this association was weaker in areas with lower confirmed COVID-19 case numbers. Further, sequence analysis of SARS-CoV-2 from wastewater suggested that multiple genetically distinct clusters were co-circulating in the local populations covered by our sample sites, and that the genetic variants observed in wastewater reflected similar SNPs observed in contemporaneous samples from cases tested in clinical diagnostic laboratories. We demonstrate how WBE can be used for both community-level detection and tracking of SARS-CoV-2 and other virus' prevalence, and can inform public health policy decisions. Although, greater understanding of the factors that affect SARS-CoV-2 RNA concentration in wastewater are needed for the full integration of WBE data into outbreak surveillance. In conclusion, our results lend support to the use of routine WBE for monitoring of SARS-CoV-2 and other human pathogenic viruses circulating in the population and assessment of the effectiveness of disease control measures.

摘要

SARS-CoV-2 及其引发的 COVID-19 大流行是对人类健康、福祉和经济增长的最大威胁之一。人类病毒的污水流行病学(WBE)可以作为一种有用的工具,用于对 SARS-CoV-2 流行率和流行病学进行人群规模监测,以帮助防止疾病进一步传播,尤其是在城市中心。在这里,我们通过 q(RT-)PCR 和病毒基因组测序,对英国六个主要城市(总人口相当于 300 万)的污水中 SARS-CoV-2 RNA 流行率进行了纵向分析(2020 年 3 月至 7 月)。我们的结果表明,SARS-CoV-2 RNA 水平通常与社区内记录的临床病例数量相关,在实施封锁措施后,SARS-CoV-2 RNA 丰度显著下降。在确诊 COVID-19 病例数较低的地区,这种相关性较弱。此外,对污水中 SARS-CoV-2 的序列分析表明,在我们采样点所覆盖的当地人群中,多个遗传上不同的簇同时传播,污水中观察到的遗传变异反映了在临床诊断实验室中检测到的同期病例中观察到的类似 SNP。我们展示了 WBE 如何用于社区层面的 SARS-CoV-2 和其他病毒流行率的检测和跟踪,并为公共卫生政策决策提供信息。尽管需要进一步了解影响污水中 SARS-CoV-2 RNA 浓度的因素,才能将 WBE 数据全面纳入疫情监测。总之,我们的研究结果支持将常规 WBE 用于监测人群中循环的 SARS-CoV-2 和其他人类致病病毒,并评估疾病控制措施的效果。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6660/8105641/981b62404921/fx1_lrg.jpg

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