Finnish Institute for Health and Welfare, Department of Health Security, Kuopio, Finland; University of Helsinki, Faculty of Veterinary Medicine, Helsinki, Finland.
Institute for Water Quality and Resource Management, Vienna University of Technology, Karlsplatz 13/226, 1040 Vienna, Austria; Stefan S. Nicolau Institute of Virology, Department of Cellular and Molecular Pathology, 285 Mihai Bravu Avenue, 030304 Bucharest, Romania; University of Medicine and Pharmacy Carol Davila, Department of Virology, 37 Dionisie Lupu Street, 020021 Bucharest, Romania.
Sci Total Environ. 2024 Oct 1;945:173862. doi: 10.1016/j.scitotenv.2024.173862. Epub 2024 Jun 12.
Wastewater surveillance (WWS) has received significant attention as a rapid, sensitive, and cost-effective tool for monitoring various pathogens in a community. WWS is employed to assess the spatial and temporal trends of diseases and identify their early appearances and reappearances, as well as to detect novel and mutated variants. However, the shedding rates of pathogens vary significantly depending on factors such as disease severity, the physiology of affected individuals, and the characteristics of pathogen. Furthermore, pathogens may exhibit differential fate and decay kinetics in the sewerage system. Variable shedding rates and decay kinetics may affect the detection of pathogens in wastewater. This may influence the interpretation of results and the conclusions of WWS studies. When selecting a pathogen for WWS, it is essential to consider it's specific characteristics. If data are not readily available, factors such as fate, decay, and shedding rates should be assessed before conducting surveillance. Alternatively, these factors can be compared to those of similar pathogens for which such data are available.
污水监测(WWS)作为一种快速、敏感和具有成本效益的工具,已经受到了广泛关注,可用于监测社区中的各种病原体。WWS 用于评估疾病的时空趋势,识别其早期出现和再次出现,以及检测新的和突变的变体。然而,病原体的脱落率因疾病严重程度、受影响个体的生理学以及病原体的特征等因素而有很大差异。此外,病原体在污水系统中可能表现出不同的命运和衰减动力学。可变的脱落率和衰减动力学可能会影响污水中病原体的检测。这可能会影响 WWS 研究结果的解释和结论。在选择用于 WWS 的病原体时,必须考虑其特定特征。如果没有现成的数据,在进行监测之前,应评估其命运、衰减和脱落率等因素。或者,可以将这些因素与具有可用数据的类似病原体进行比较。