Comparing Rates of Change in SARS-CoV-2 Wastewater Load and Clinical Cases in 19 Sewersheds Across Four Major Metropolitan Areas in the United States
Comparing Rates of Change in SARS-CoV-2 Wastewater Load and Clinical Cases in 19 Sewersheds Across Four Major Metropolitan Areas in the United States
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DOI：
10.1021/acsestwater.2c00106
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发表时间：
2022-07-15
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影响因子：
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通讯作者：
Vela, Jeseth Delgado
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作者：
Al-Faliti, Mitham;Kotlarz, Nadine;Vela, Jeseth Delgado
在大流行期间没有互操作的标准方法。我们对 2020 年 5 月至 2021 年 10 月期间美国四个主要大都市区 19 个下水道棚生成的废水监测数据集测试了多种数据处理方法。首先，我们探讨了不同数据处理技术对 SARS-CoV-2 废水 RNA 载量与临床病例数之间相关性的影响，发现将局部加权平滑 (LOESS) 平滑应用于链方程多元插补 (MICE) 估算的废水病毒载量可产生最强的相关性19 个下水道棚中有 16 个 (84%)。接下来，我们计算了废水病毒载量和临床病例的变化率 (RC)，发现将缺失的病毒载量数据归入 28 天窗口会产生最强的相关性（Spearman's rho = 0.63）。此外，我们确定每天 2.4 个新的 COVID-19 病例的平均敏感度阈值会导致废水中出现显着的 RC，但敏感度因所使用的实验室方法而异。我们使用 RC 进行的回顾性分析强调了某些方法论见解，减少了特定地点的影响，并估计了废水敏感性阈值，支持使用相对而非绝对的 SARS-CoV-2 废水数据测量来获得更具互操作性的数据集。
There is no standard approach to interoperate the during the pandemic. We tested several data processing approaches on wastewater surveillance data sets generated from 19 sewersheds across four major metropolitan areas in the United States from May 2020 through October 2021. First, we explored the effect of different data processing techniques on the correlation between SARS-CoV-2 wastewater RNA load and clinical case counts and found that locally weighted smoothing (LOESS) smoothing applied to multivariate imputation by chain equations (MICE)-imputed wastewater viral load led to the strongest correlations in 16 out of 19 sewersheds (84%). Next, we calculated the rate of change (RC) in wastewater viral load and in clinical cases and found that imputing missing viral load data on a 28-day window produced the strongest correlation (Spearman's rho = 0.63). Furthermore, we determined an average sensitivity threshold of 2.4 new COVID-19 cases per day resulted in a significant RC in wastewater, but sensitivity varied with the laboratory method used. Our retrospective analysis using RC highlighted certain methodological insights, reduced site-specific impacts, and estimated a wastewater sensitivity threshold-supporting the use of relative, rather than absolute, measures of SARS-CoV-2 wastewater data for more interoperable data sets.