Eau de Paris, Research & Development, 33 avenue Jean Jaures, FR-94200 Ivry sur Seine, France.
Sorbonne Universite, CNRS, EPHE, UMR 7619 Metis, e-LTER Zone Atelier Seine, F-75005 Paris, France.
Sci Total Environ. 2022 Nov 20;848:157740. doi: 10.1016/j.scitotenv.2022.157740. Epub 2022 Jul 30.
Throughout the COVID-19 pandemic, new variants have continuously emerged and spread in populations. Among these, variants of concern (VOC) have been the main culprits of successive epidemic waves, due to their transmissibility, pathogenicity or ability to escape the immune response. Quantification of the SARS-CoV-2 genomes in raw wastewater is a reliable approach well-described and widely deployed worldwide to monitor the spread of SARS-CoV-2 in human populations connected to sewage systems. Discrimination of VOCs in wastewater is also a major issue and can be achieved by genome sequencing or by detection of specific mutations suggesting the presence of VOCs. This study aimed to date the emergence of these VOCs (from Alpha to Omicron BA.2) by monitoring wastewater from the greater Paris area, France, but also to model the propagation dynamics of these VOCs and to characterize the replacement kinetics of the prevalent populations. These dynamics were compared to various individual-centered public health data, such as regional incidence and the proportions of VOCs identified by sequencing of strains isolated from patient. The viral dynamics in wastewater highlighted the impact of the vaccination strategy on the viral circulation within human populations but also suggested its potential effect on the selection of variants most likely to be propagated in immunized populations. Normalization of concentrations to capture population movements appeared statistically more reliable using variations in local drinking water consumption rather than using PMMoV concentrations because PMMoV fecal shedding was subject to variability and was not sufficiently relevant in this study. The dynamics of viral spread was observed earlier (about 13 days on the wave related to Omicron VOC) in raw wastewater than the regional incidence alerting to a possible risk of decorrelation between incidence and actual virus circulation probably resulting from a lower severity of infection in vaccinated populations.
在整个 COVID-19 大流行期间,新的变体不断在人群中出现和传播。在这些变体中,令人关注的变体 (VOC) 是导致连续疫情浪潮的主要罪魁祸首,因为它们具有传染性、致病性或逃避免疫反应的能力。定量检测原始污水中的 SARS-CoV-2 基因组是一种可靠的方法,已在全球范围内得到很好的描述和广泛应用,用于监测与污水系统相连的人群中 SARS-CoV-2 的传播。污水中 VOC 的鉴别也是一个主要问题,可以通过基因组测序或检测提示存在 VOC 的特定突变来实现。本研究旨在通过监测法国大巴黎地区的污水,确定这些 VOC(从 Alpha 到 Omicron BA.2)的出现日期,但也旨在对这些 VOC 的传播动态进行建模,并对流行种群的替代动力学进行特征描述。这些动态与各种以个体为中心的公共卫生数据进行了比较,例如区域发病率以及通过从患者分离的菌株测序鉴定的 VOC 比例。污水中的病毒动态强调了疫苗接种策略对人群中病毒循环的影响,但也表明其对选择最有可能在免疫人群中传播的变体的潜在影响。使用当地饮用水消耗的变化而不是使用 PMMoV 浓度来归一化浓度以捕捉人口流动,在统计学上似乎更可靠,因为 PMMoV 的粪便脱落受到变异性的影响,并且在本研究中不够相关。在原始污水中观察到病毒传播的动态比区域发病率更早(与 Omicron VOC 相关的浪潮大约提前 13 天),这提醒人们发病率和实际病毒循环之间可能存在相关性降低的风险,这可能是由于接种疫苗人群感染的严重程度降低所致。