Emerg Infect Dis. 2023 Aug;29(8):1580-1588. doi: 10.3201/eid2908.221580. Epub 2023 Jun 28.
We determined correlations between SARS-CoV-2 load in untreated water and COVID-19 cases and patient hospitalizations before the Omicron variant (September 2020-November 2021) at 2 wastewater treatment plants in the Regional Municipality of Peel, Ontario, Canada. Using pre-Omicron correlations, we estimated incident COVID-19 cases during Omicron outbreaks (November 2021-June 2022). The strongest correlation between wastewater SARS-CoV-2 load and COVID-19 cases occurred 1 day after sampling (r = 0.911). The strongest correlation between wastewater load and COVID-19 patient hospitalizations occurred 4 days after sampling (r = 0.819). At the peak of the Omicron BA.2 outbreak in April 2022, reported COVID-19 cases were underestimated 19-fold because of changes in clinical testing. Wastewater data provided information for local decision-making and are a useful component of COVID-19 surveillance systems.
我们在加拿大安大略省皮尔地区两个污水处理厂,确定了未经处理水中的 SARS-CoV-2 负载与新冠病毒病例和患者住院之间的相关性,时间跨度为奥密克戎变体出现之前(2020 年 9 月至 2021 年 11 月)。我们使用奥密克戎变体出现之前的相关性,估计了奥密克戎变体爆发期间(2021 年 11 月至 2022 年 6 月)的新冠病毒病例。污水中 SARS-CoV-2 负载与新冠病毒病例之间的最强相关性出现在采样后 1 天(r=0.911)。污水负荷与新冠病毒患者住院之间的最强相关性出现在采样后 4 天(r=0.819)。在 2022 年 4 月奥密克戎 BA.2 爆发的高峰期,由于临床检测的变化,报告的新冠病毒病例被低估了 19 倍。污水数据为当地决策提供了信息,是新冠病毒监测系统的有用组成部分。