Modeling SARS-CoV-2 RNA degradation in small and large sewersheds

Modeling SARS-CoV-2 RNA degradation in small and large sewersheds
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DOI:
10.1039/d1ew00717c
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发表时间:
2021-12-28
影响因子:
5
通讯作者:
Stadler, Lauren B.
Stadler, Lauren B.
中科院分区:
环境科学与生态学3区
文献类型:
--
作者:
McCall, Camille;Fang, Zheng N.;Stadler, Lauren B.

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基于水的流行病学在监测COVID-19大流行方面发挥了重要作用,但对SARS-CoV-2在下水道网络中的降解知之甚少。在这里,我们使用先进的下水道建模软件来模拟不同温度和衰减率下德克萨斯州休斯顿下水道中的SARS-CoV-2 RNA降解。此外,还提出了一种新的衡量标准,即人口乘以旅行时间(PT),以确定更有可能发生未被发现的COVID-19疫情的地区,并帮助部署上游采样器。研究结果表明,旅行时间有一个更大的影响RNA降解整个下水道相比,温度。SARS-CoV-2 RNA降解的中位旅行时间大约是20摄氏度的废水之间的小下水道,巧克力河口,和较大的下水道,第69街的两倍。最后,根据PT指标放置上游采样器可以提供更有代表性的大型污水处理厂疾病发病率的快照。这项研究有助于阐明废水中SARS-CoV-2病毒载量与COVID-19临床发病率之间的差异。缩短旅行时间和SARS-CoV-2 RNA衰变可以改善废水监测工作。
Wastewater-based epidemiology has played a significant role in monitoring the COVID-19 pandemic, yet little is known about degradation of SARS-CoV-2 in sewer networks. Here, we used advanced sewershed modeling software to simulate SARS-CoV-2 RNA degradation in sewersheds across Houston, TX under various temperatures and decay rates. Moreover, a novel metric, population times travel time (PT), was proposed to identify localities with a greater likelihood of undetected COVID-19 outbreaks and to aid in the placement of upstream samplers. Findings suggest that travel time has a greater influence on RNA degradation across the sewershed as compared to temperature. SARS-CoV-2 RNA degradation at median travel times was approximately two times greater in 20 degrees C wastewater between the small sewershed, Chocolate Bayou, and the larger sewershed, 69th Street. Lastly, placement of upstream samplers according to the PT metric can provide a more representative snapshot of disease incidence in large sewersheds. This study helps to elucidate discrepancies between SARS-CoV-2 viral load in wastewater and clinical incidence of COVID-19. Incorporating travel time and SARS-CoV-2 RNA decay can improve wastewater surveillance efforts.