SARS-CoV-2废水测量准确预测社区有症状感染频率

Charles R Doss,Mark J Osborn,Stacey Stark,Joshua Rhein,Jacalynn Donkersgoed,Donna Budde,Shannon Champeau,Carolyn Meyer,Mason Hayden,Laura Landini,Difan Ouyang,Lappui Chung,Yi Tang,Sara Vetter,Timothy W Schacker
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引用次数: 0

摘要

背景:通过接种疫苗或自然感染产生的广泛免疫改变了废水对住院和死亡率的预测能力。方法在2022年1月至2024年8月期间,我们开展了一项纵向观察研究,旨在研究医疗保健员工症状性COVID-19与SARS-CoV-2废水社区水平的相关性。采用定量RT-PCR方法对废水进行SARS-CoV-2检测。Fairview health的员工职业健康办公室提供了未识别的数据。结果在32个月的时间里,我们从TCWWTP收集了215份废水样本。在此期间,居住在废水集水区的个人向美景员工健康中心报告了6879例SARS-CoV-2阳性检测结果。我们发现废水中的SARS-CoV-2水平准确预测了接下来一周社区中随后的COVID-19病例数(p = 0.001)。结论SARS-CoV-2废水监测能够准确预测社区有症状感染的发生频率,具有一定的实用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Wastewater Measures of SARS-CoV-2 Accurately Predict Frequency of Symptomatic Infections in the Community.
BACKGROUND Widespread immunity through vaccination or natural infection has altered the predictive ability of wastewater for hospitalization and mortality. METHODS Between January 2022 and August 2024, we conducted a longitudinal observational study aimed to examine the correlation between symptomatic COVID-19 in healthcare employees and the SARS-CoV-2 wastewater community levels. Wastewater was analyzed by quantitative RT-PCR for detection of SARS-CoV-2. The employee occupational health office for Fairview Health provided deidentified data. RESULTS We collected 215 wastewater samples from the TCWWTP over a 32-month interval. Over that period, there were 6,879 positive SARS-CoV-2 test results reported to Fairview Employee Health from individuals who lived in the wastewater catchment area. We found that SARS-CoV-2 levels in wastewater accurately predicted the subsequent COVID-19 case count the following week in the community (p = 0.001). CONCLUSION These data demonstrate the utility of SARS-CoV-2 wastewater surveillance as it accurately predicts the frequency of symptomatic infection in the community.
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