Beyond Campus Borders: Wastewater Surveillance Sheds Light on University COVID-19 Interventions and their Community Impact

IF 4.3 3区 材料科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
David G Lisboa, Devrim Kaya, Michael Harry, Casey A. Kanalos, Gabriel Davis, Oumaima Hachimi, Shana Jaaf, David Mickle, Dana Alegre, Katherine Carter, Steven Carrell, Mark Dasenko, Nathan Davidson, Justin Elser, Matthew Geniza, Anne-Marie Girard, Brent Kronmiller, Matthew Peterson, Elizabeth Zepeda, Christine Kelly, Tyler Radniecki
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Abstract

The evaluation of COVID-19 policy effectiveness on university campuses, particularly in mitigating spread to neighboring cities (i.e., "campus spill-over"), is challenging due to asymptomatic transmission, biases in case reporting, and spatial case reporting limitations. Wastewater surveillance offers a less biased and more spatially precise alternative to conventional clinical surveillance, thus providing reliable data for university COVID-19 policy evaluation. Wastewater surveillance data spanning the academic terms from Fall 2020 through Spring 2022 was used to evaluate the impact of university COVID-19 policies. During the campus closure to external visitors, campus viral concentrations and variant compositions were dissimilar from those of the host and neighboring cities (MAPE = 0.25 + 0.14; Bray-Curtis = 0.68 + 0.1, respectively), indicating relative isolation of the campus from its surroundings. Upon the campus reopening to visitors, the viral concentrations and variant compositions matched more closely with the host and neighboring cities (MAPE = 0.21 + 0.1; Bray-Curtis = 0.14 + 0.08, respectively). Furthermore, post-lifting of campus and state mask mandates, the campus, host and neighboring city viral concentrations and variant compositions became indistinguishable (MAPE = 0.06 + 0.02; Bray-Curtis = 0.07 + 0.05, respectively). This data suggests that university COVID-19 policies effectively prevented campus-spill over, with no significant contribution to COVID-19 spread into the surrounding communities. Conversely, it was the surrounding communities that led to the spread of COVID-19 onto the campus. Therefore, wastewater surveillance proves instrumental in monitoring COVID-19 trends in surrounding areas, aiding in predicting the impact of easing campus restrictions on campus health.
超越校园边界:废水监测揭示大学 COVID-19 干预措施及其对社区的影响
由于无症状传播、病例报告中的偏差以及空间病例报告的限制,评估 COVID-19 政策在大学校园中的有效性,尤其是在减少向邻近城市传播(即 "校园溢出")方面的有效性具有挑战性。与传统的临床监测相比,废水监测的偏差更小、空间精确度更高,从而为大学 COVID-19 政策评估提供了可靠的数据。2020 年秋季至 2022 年春季的废水监测数据被用于评估大学 COVID-19 政策的影响。在校园对外界游客关闭期间,校园病毒浓度和变异体组成与所在城市和邻近城市不同(MAPE = 0.25 + 0.14;Bray-Curtis = 0.68 + 0.1,分别为0.25 + 0.14和0.68 + 0.1),表明校园与周围环境相对隔离。校园重新向游客开放后,病毒浓度和变异体组成与东道城市和邻近城市更为接近(MAPE = 0.21 + 0.1;Bray-Curtis = 0.14 + 0.08)。此外,在取消校园和州政府的口罩规定后,校园、所在城市和邻近城市的病毒浓度和变异体组成变得难以区分(MAPE = 0.06 + 0.02;Bray-Curtis = 0.07 + 0.05)。这些数据表明,大学的 COVID-19 政策有效地防止了校园病毒的扩散,对 COVID-19 向周边社区的传播没有显著影响。相反,正是周边社区导致了 COVID-19 向校园的扩散。因此,废水监测有助于监测周边地区的 COVID-19 趋势,有助于预测放宽校园限制对校园健康的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
7.20
自引率
4.30%
发文量
567
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