Unravelling the early warning capability of wastewater surveillance for COVID-19: A temporal study on SARS-CoV-2 RNA detection and need for the escalation.

Unravelling the early warning capability of wastewater surveillance for COVID-19: A temporal study on SARS-CoV-2 RNA detection and need for the escalation.
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DOI:
10.1016/j.envres.2021.110946
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发表时间:
2021-05
影响因子:
8.3
通讯作者:
Joshi CG
Joshi CG
中科院分区:
环境科学与生态学2区
文献类型:
--
作者:
Kumar M;Joshi M;Patel AK;Joshi CG

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基于废水的流行病学监测是在有限的临床试验下评估人口稠密地区症状前和无症状病例的大流行情况的一种有希望的方法。在本研究中,我们分析了2020年8月7日至9月30日期间印度甘地纳加尔四个污水处理厂(WWTPs)进水废水样本(n = 43)中的SARS-CoV-2 RNA。在43个样本中,有40个样本呈阳性,即至少有两个SARS-CoV-2基因。S、N和orf1ab基因的平均Ct值分别为32.66、33.03和33.95。与8月份相比,9月份的N基因平均拷贝数(~120%)和orf1ab基因平均拷贝数(~38%)大幅上升,而s基因拷贝数在2020年9月下降了58%。SARS-CoV-2基因组浓度在9月份(~924.5拷贝/L)高于8月份(~897.5拷贝/L),相当于研究期间确诊病例数增加了~2.2倍。此外,与根据临床试验按时间尺度登记的正式确诊病例相比,在特定日期发现的基因组浓度水平百分比变化提前了1-2周。这些结果深刻揭示了WBE监测在预测COVID-19病例波动并提供早期预警方面的潜力。我们的研究明确表明,废水监测必须作为COVID-19大流行监测的一个组成部分,这需要一个小时,这不仅可以帮助水务部门确定城市内的热点,而且可以提供长达两周的时间,以便更好地调整管理干预措施。
Wastewater-based Epidemiological (WBE) surveillance offers a promising approach to assess the pandemic situation covering pre-symptomatic and asymptomatic cases in highly populated area under limited clinical tests. In the present study, we analyzed SARS-CoV-2 RNA in the influent wastewater samples (n = 43) from four wastewater treatment plants (WWTPs) in Gandhinagar, India, during August 7th to September 30th, 2020. A total of 40 samples out of 43 were found positive i.e. having at least two genes of SARS-CoV-2. The average Ct values for S, N, and ORF 1 ab genes were 32.66, 33.03, and 33.95, respectively. Monthly variation depicted a substantial rise in the average copies of N (~120%) and ORF 1 ab (~38%) genes in the month of September as compared to August, while S-gene copies declined by 58% in September 2020. The SARS-CoV-2 genome concentration was higher in the month of September (~924.5 copies/L) than August (~897.5 copies/L), corresponding to a ~2.2-fold rise in the number of confirmed cases during the study period. Further, the percentage change in genome concentration level on a particular date was found in the lead of 1–2 weeks of time with respect to the official confirmed cases registered based on clinical tests on a temporal scale. The results profoundly unravel the potential of WBE surveillance to predict the fluctuation of COVID-19 cases to provide an early warning. Our study explicitly suggests that it is the need of hour that the wastewater surveillance must be included as an integral part of COVID-19 pandemic monitoring which can not only help the water authorities to identify the hotspots within a city but can provide up to 2 weeks of time lead for better tuning the management interventions.
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