The Biodesign Institute Center for Environmental Health Engineering, Arizona State University, 1001 S. McAllister Ave, AZ 85287-8101, USA; OneWaterOneHealth, The Arizona State University Foundation, The Biodesign Institute, Arizona State University, 1001 S. McAllister Ave, Tempe, AZ 85281, USA.
The Biodesign Institute Center for Environmental Health Engineering, Arizona State University, 1001 S. McAllister Ave, AZ 85287-8101, USA.
Sci Total Environ. 2022 May 10;820:152877. doi: 10.1016/j.scitotenv.2021.152877. Epub 2022 Jan 6.
Wastewater-based epidemiology (WBE) is utilized globally as a tool for quantifying the amount of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) within communities, yet the efficacy of community-level wastewater monitoring has yet to be directly compared to random Coronavirus Disease of 2019 (COVID-19) clinical testing; the best-supported method of virus surveillance within a single population. This study evaluated the relationship between SARS-CoV-2 RNA in raw wastewater and random COVID-19 clinical testing on a large university campus in the Southwestern United States during the Fall 2020 semester. Daily composites of wastewater (24-hour samples) were collected three times per week at two campus locations from 16 August 2020 to 1 January 2021 (n = 95) and analyzed by reverse transcriptase-quantitative polymerase chain reaction (RT-qPCR) targeting the SARS-CoV-2 E gene. Campus populations were estimated using campus resident information and anonymized, unique user Wi-Fi connections. Resultant trends of SARS-CoV-2 RNA levels in wastewater were consistent with local and nationwide pandemic trends showing peaks in infections at the start of the Fall semester in mid-August 2020 and mid-to-late December 2020. A strong positive correlation (r = 0.71 (p < 0.01); n = 15) was identified between random COVID-19 clinical testing and WBE surveillance methods, suggesting that wastewater surveillance has a predictive power similar to that of random clinical testing. Additionally, a comparative cost analysis between wastewater and clinical methods conducted here show that WBE was more cost effective, providing data at 1.7% of the total cost of clinical testing ($6042 versus $338,000, respectively). We conclude that wastewater monitoring of SARS-CoV-2 performed in tandem with random clinical testing can strengthen campus health surveillance, and its economic advantages are maximized when performed routinely as a primary surveillance method, with random clinical testing reserved for an active outbreak situation.
污水流行病学(WBE)已在全球范围内被用作量化社区内严重急性呼吸综合征冠状病毒 2 (SARS-CoV-2)数量的工具,但社区级污水监测的效果尚未与随机 2019 年冠状病毒病(COVID-19)临床检测进行直接比较;这是在单一人群中监测病毒的最佳方法。本研究评估了美国西南部一所大型大学校园内 2020 年秋季 SARS-CoV-2 RNA 在原污水和随机 COVID-19 临床检测之间的关系。从 2020 年 8 月 16 日至 2021 年 1 月 1 日,每周三次在两个校区收集污水(24 小时样本),共收集 95 次,并用针对 SARS-CoV-2 E 基因的逆转录定量聚合酶链反应(RT-qPCR)进行分析。使用校园居民信息和匿名、唯一的用户 Wi-Fi 连接来估计校园人群。污水中 SARS-CoV-2 RNA 水平的趋势与当地和全国大流行趋势一致,显示 2020 年 8 月中旬秋季学期开始时以及 2020 年 12 月中旬至下旬感染高峰期。随机 COVID-19 临床检测与 WBE 监测方法之间存在很强的正相关关系(r = 0.71(p < 0.01);n = 15),表明污水监测具有与随机临床检测相似的预测能力。此外,此处进行的污水与临床方法的比较成本分析表明,WBE 更具成本效益,其数据成本仅为临床检测总成本的 1.7%(分别为 6042 美元和 33.8 万美元)。我们的结论是,与随机临床检测同时进行的 SARS-CoV-2 污水监测可以加强校园健康监测,当作为主要监测方法常规进行时,其经济优势最大化,而将随机临床检测保留用于活跃的疫情情况。