Kotay Shireen M, Tanabe Kawai O, Colosi Lisa M, Poulter Melinda D, Barry Katherine E, Holstege Christopher P, Mathers Amy J, Porter Michael D
Division of Infectious Diseases, School of Medicine, University of Virginia Health System, Charlottesville, Virginia 22908, United States.
Department of Student Health & Wellness, Division of Student Affairs, University of Virginia, Charlottesville, Virginia 22903, United States.
ACS ES T Water. 2022 Jun 11;2(11):2094-2104. doi: 10.1021/acsestwater.2c00057. eCollection 2022 Nov 11.
Congregate living poses one of the highest risk situations for the transmission of respiratory viruses including SARS-CoV-2. University dormitories exemplify such high-risk settings. We demonstrate the value of using building-level SARS-CoV-2 wastewater surveillance as an early warning system to inform when prevalence testing of all building occupants is warranted. Coordinated daily testing of composite wastewater samples and clinical testing in dormitories was used to prompt the screening of otherwise unrecognized infected occupants. We overlay the detection patterns in the context of regular scheduled occupant testing to validate a wastewater detection model. The trend of wastewater positivity largely aligned well with the clinical positivity and epidemiology of dormitory occupants. However, the predictive ability of wastewater-surveillance to detect new positive cases is hampered by convalescent shedding in recovered/noncontagious individuals as they return to the building. Building-level pooled wastewater-surveillance and forecasting is most productive for predicting new cases in low-prevalence instances at the community level. For higher-education facilities and other congregate living settings to remain in operation during a pandemic, a thorough surveillance-based decision-making system is vital. Building-level wastewater monitoring on a daily basis paired with regular testing of individual dormitory occupants is an effective and efficient approach for mitigating outbreaks on university campuses.
群居生活是包括SARS-CoV-2在内的呼吸道病毒传播的高风险情况之一。大学宿舍就是这种高风险环境的典型例子。我们证明了将建筑层面的SARS-CoV-2废水监测作为一种预警系统的价值,以告知何时有必要对所有建筑居住者进行患病率检测。通过对宿舍综合废水样本进行每日协调检测和临床检测,促使对原本未被识别的感染居住者进行筛查。我们在定期安排居住者检测的背景下叠加检测模式,以验证废水检测模型。废水阳性趋势在很大程度上与宿舍居住者的临床阳性情况和流行病学情况相吻合。然而,由于康复/无传染性个体返回建筑时的恢复期排毒,废水监测检测新阳性病例的预测能力受到阻碍。建筑层面的混合废水监测和预测在预测社区层面低患病率情况下的新病例方面最有成效。对于高等教育机构和其他群居生活环境在大流行期间继续运营而言,一个基于全面监测的决策系统至关重要。每天进行建筑层面的废水监测,并定期对单个宿舍居住者进行检测,是减轻大学校园疫情爆发的一种有效方法。