PDF(Pubmed)
Abstract：
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.
摘要：
我们确定了未经治疗的水中SARS-CoV-2负荷和COVID-19病例与Omicron变种（2020年9月至2021年11月）之前在皮尔市的2个污水处理厂住院的患者之间的相关性，安大略省,加拿大。使用预Omicron相关性，我们估计了Omicron暴发期间（2021年11月至2022年6月）的COVID-19病例。我们使用了Peel的2个污水处理厂（Clarkson和G.E.Booth）的SARS-CoV-2废水负荷与COVID-19病例和Omicron爆发前患者住院之间的相关性。废水SARS-CoV-2负荷与COVID-19病例之间的相关性最强发生在采样后1天（r=0.911）。废水负荷与COVID-19患者住院率之间最强的相关性发生在采样后4天(r=0.819)。在2022年4月OmicronBA.2爆发的高峰期，由于临床试验的变化，报告的COVID-19病例被低估了19倍。废水数据为当地决策提供了信息，是COVID-19监测系统的有用组成部分。
