Uncertainties in estimating SARS-CoV-2 prevalence by wastewater-based epidemiology.
Uncertainties in estimating SARS-CoV-2 prevalence by wastewater-based epidemiology.
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DOI：
10.1016/j.cej.2021.129039
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发表时间：
2021-07-01
期刊：
影响因子：
--
通讯作者：
Jiang G
中科院分区：
文献类型：
--
作者：
Li X;Zhang S;Shi J;Luby SP;Jiang G
废水流行病学是通过检测废水中严重急性呼吸综合征冠状病毒2型核糖核酸来估计人群新冠肺炎流行率的一种很有前途的方法。然而，与WBE相关的各种方法学挑战将影响患病率估计的准确性。到目前为止，WBE的总体不确定性以及每一步对患病率估计的影响在很大程度上是未知的。本研究将WBE方法分为五个步骤(即病毒脱落；下水道内运输；采样和储存；废水中SARS-CoV-2RNA浓度分析；反向估计)，并通过系统回顾进一步总结和量化了每一步相关的不确定性。尽管新冠肺炎阳性患者之间的SARS-CoV-2RNA排泄量差异很大，但由于集水区感染者超过10人，排泄率带来的不确定性对于流行估计变得有限。使用高频流量比例抽样，并通过实际用水量数据估计普及率，显著地将总体不确定度降低到约20%-40%(相对标准偏差，RSD)。在这种情况下，废水中SARS-CoV-2RNA的分析不确定性是主导因素。这突出了在废水分析过程中使用替代病毒作为内部或外部标准的重要性，以及需要进一步改进分析方法，以尽量减少分析的不确定性。本研究支持将白蛋白E作为新冠肺炎患病率监测的补充监测策略，并提出方法学改进和建议，以提高未来研究的可靠性。
Wastewater-based epidemiology (WBE) is a promising approach for estimating population-wide COVID-19 prevalence through detection of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) RNA in wastewater. However, various methodological challenges associated with WBE would affect the accuracy of prevalence estimation. To date, the overall uncertainty of WBE and the impact of each step on the prevalence estimation are largely unknown. This study divided the WBE approach into five steps (i.e., virus shedding; in-sewer transportation; sampling and storage; analysis of SARS-CoV-2 RNA concentration in wastewater; back-estimation) and further summarized and quantified the uncertainties associated with each step through a systematic review. Although the shedding of SARS-CoV-2 RNA varied greatly between COVID-19 positive patients, with more than 10 infected persons in the catchment area, the uncertainty caused by the excretion rate became limited for the prevalence estimation. Using a high-frequency flow-proportional sampling and estimating the prevalence through actual water usage data significantly reduced the overall uncertainties to around 20–40% (relative standard deviation, RSD). And under such a scenario, the analytical uncertainty of SARS-CoV-2 RNA in wastewater was the dominant factor. This highlights the importance of using surrogate viruses as internal or external standards during the wastewater analysis, and the need for further improvement on analytical approaches to minimize the analytical uncertainty. This study supports the application of WBE as a complementary surveillance strategy for monitoring COVID-19 prevalence and provides methodological improvements and suggestions to enhance the reliability for future studies.
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影响因子：
13.6
作者：
Farkash, Evan A.;Wilson, Allecia M.;Jentzen, Jeffrey M.
通讯作者：
Jentzen, Jeffrey M.
DOI：
10.1016/j.coesh.2020.09.003
发表时间：
2020-09-30
影响因子：
--
作者：
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通讯作者：
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DOI：
10.1016/j.scitotenv.2020.144105
发表时间：
2021-02-20
期刊：
The Science of the total environment
影响因子：
--
作者：
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通讯作者：
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影响因子：
8.9
作者：
Carraturo, Federica;Del Giudice, Carmela;Guida, Marco
通讯作者：
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影响因子：
1.1
作者：
Adelodun, Bashir;Ajibade, Fidelis Odedishemi;Choid, Kyung-Sook
通讯作者：
Choid, Kyung-Sook