Li Xuan, Li Jibin, Liu Huan, Mínguez-Alarcón Lidia, van Loosdrecht Mark C M, Wang Qilin
Centre for Technology in Water and Wastewater, School of Civil and Environmental Engineering, University of Technology Sydney, Ultimo, NSW 2007, Australia.
Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Channing Division of Network Medicine, Harvard Medical School & Brigham and Women's Hospital, USA.
Water Res. 2025 Apr 15;274:123114. doi: 10.1016/j.watres.2025.123114. Epub 2025 Jan 7.
The post-pandemic world still faces ongoing COVID-19 infections, although international travel has returned to pre-pandemic conditions. Wastewater-based epidemiology (WBE) is considered an efficient tool for the population-wide surveillance of COVID-19 infections during the pandemic. However, the performance of WBE in post-pandemic era with travel restrictions lifted remains unknown. Utilizing weekly county-level wastewater surveillance data from June 2021-November 2022 for 222 counties in 49 states (covering 104 million people) in the United States of America, we retrospectively evaluated the correlations between SARS-CoV-2 RNA (C) and reported cases, as well as the impacts of international air travel, demographics, socioeconomic aspects, test accessibility, epidemiological, and environmental factors on reported cases under the corresponding C. The lifting of travel restrictions in June 2022, shifted the correlation between C and COVID-19 incidence in the following 7-day and 14-day from 0.70 (IQR: 0.30-0.88) in June 2021-May 2022 (pandemic) to 0.01 (IQR: -0.31-0.36) in June-November 2022 (post-pandemic), and from 0.74 (IQR: 0.31-0.90) to -0.01 (IQR: -0.38-0.45), respectively. Besides, after lifting the travel restrictions, under the same C, the reported case numbers were impacted by many factors, including the variations of international passengers, test accessibility, Omicron prevalence, ratio of population aged between 18 and 65, minority vulnerability, and healthcare system. This highlights the importance of demographics, infection testing, variants and socioeconomic status on the accuracy and implication of WBE to monitor COVID-19 infection status in post-pandemic era. Our findings facilitate the public health authorities to dynamically adjust their WBE-based tools/strategies to the local contexts to achieve optimal community surveillance.
尽管国际旅行已恢复到疫情前的状况,但疫情后的世界仍面临着持续的新冠病毒感染。基于废水的流行病学(WBE)被认为是疫情期间对新冠病毒感染进行全人群监测的有效工具。然而,在旅行限制解除的疫情后时代,WBE的表现仍不明确。利用2021年6月至2022年11月期间美国49个州222个县(覆盖1.04亿人口)的县级每周废水监测数据,我们回顾性评估了严重急性呼吸综合征冠状病毒2(SARS-CoV-2)RNA(C)与报告病例之间的相关性,以及国际航空旅行、人口统计学、社会经济方面、检测可及性、流行病学和环境因素对相应C值下报告病例的影响。2022年6月旅行限制的解除,使C值与接下来7天和14天内新冠病毒发病率的相关性从2021年6月至2022年5月(疫情期间)的0.70(四分位距:0.30 - 0.88)转变为2022年6月至11月(疫情后)的0.01(四分位距:-0.31 - 0.36),以及从0.74(四分位距:0.31 - 0.90)分别转变为-0.01(四分位距:-0.38 - 0.45)。此外,旅行限制解除后,在相同的C值下,报告病例数受到多种因素影响,包括国际旅客数量变化、检测可及性、奥密克戎毒株流行率、18至65岁人口比例、少数族裔易感性和医疗系统等。这凸显了人口统计学、感染检测、病毒变体和社会经济地位对疫情后时代WBE监测新冠病毒感染状况的准确性和意义的重要性。我们的研究结果有助于公共卫生当局根据当地情况动态调整基于WBE的工具/策略,以实现最佳的社区监测。