Microbiology Research Group, University Hospital Complex (CHUAC), Institute of Biomedical Research (INIBIC), University of A Coruña (UDC), Servicio de Microbiología, 3(a) planta, Edificio Sur, Hospital Universitario, As Xubias, 15006, A Coruña, CIBER de enfermedades infecciosas, Spain.
Research Group MODES, Research Center for Information and Communication Technologies (CITIC), University of A Coruña (UDC), Facultade de Informática, Campus de Elviña, 15071 A Coruña, Spain.
Sci Total Environ. 2022 Mar 10;811:152334. doi: 10.1016/j.scitotenv.2021.152334. Epub 2021 Dec 16.
The quantification of the SARS-CoV-2 RNA load in wastewater has emerged as a useful tool to monitor COVID-19 outbreaks in the community. This approach was implemented in the metropolitan area of A Coruña (NW Spain), where wastewater from a treatment plant was analyzed to track the epidemic dynamics in a population of 369,098 inhabitants. Viral load detected in the wastewater and the epidemiological data from A Coruña health system served as main sources for statistical models developing. Regression models described here allowed us to estimate the number of infected people (R = 0.9), including symptomatic and asymptomatic individuals. These models have helped to understand the real magnitude of the epidemic in a population at any given time and have been used as an effective early warning tool for predicting outbreaks in A Coruña municipality. The methodology of the present work could be used to develop a similar wastewater-based epidemiological model to track the evolution of the COVID-19 epidemic anywhere in the world where centralized water-based sanitation systems exist.
污水中 SARS-CoV-2 RNA 载量的定量分析已成为监测社区 COVID-19 疫情的有用工具。该方法在西班牙西北部的拉科鲁尼亚（A Coruña）大都市地区实施，对一家处理厂的污水进行了分析，以追踪 369098 名居民的疫情动态。污水中检测到的病毒载量和来自拉科鲁尼亚卫生系统的流行病学数据是开发统计模型的主要来源。本文描述的回归模型使我们能够估算受感染者的数量（R=0.9），包括有症状和无症状个体。这些模型有助于了解特定时间内人群中疫情的实际规模，并已被用作预测拉科鲁尼亚市疫情爆发的有效预警工具。本工作的方法可用于开发基于污水的类似流行病学模型，以跟踪世界任何存在集中式基于水的卫生系统的地方的 COVID-19 疫情演变。
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