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高通量废水样本处理在传染病监测中的应用:挑战、进展与未来机遇的综述

A Narrative Review of High Throughput Wastewater Sample Processing for Infectious Disease Surveillance: Challenges, Progress, and Future Opportunities.

机构信息

RASID Laboratory, M42 Healthcare, Abu Dhabi P.O. Box 4200, United Arab Emirates.

Mubadala Health-Dubai, Dubai P.O. Box 26699, United Arab Emirates.

出版信息

Int J Environ Res Public Health. 2024 Oct 29;21(11):1432. doi: 10.3390/ijerph21111432.

Abstract

During the recent COVID-19 pandemic, wastewater-based epidemiological (WBE) surveillance played a crucial role in evaluating infection rates, analyzing variants, and identifying hot spots in a community. This expanded the possibilities for using wastewater to monitor the prevalence of infectious diseases. The full potential of WBE remains hindered by several factors, such as a lack of information on the survival of pathogens in sewage, heterogenicity of wastewater matrices, inconsistent sampling practices, lack of standard test methods, and variable sensitivity of analytical techniques. In this study, we review the aforementioned challenges, cost implications, process automation, and prospects of WBE for full-fledged wastewater-based community health screening. A comprehensive literature survey was conducted using relevant keywords, and peer reviewed articles pertinent to our research focus were selected for this review with the aim of serving as a reference for research related to wastewater monitoring for early epidemic detection.

摘要

在最近的 COVID-19 大流行期间,基于污水的流行病学(WBE)监测在评估感染率、分析变体和识别社区热点方面发挥了关键作用。这扩大了利用污水监测传染病流行的可能性。污水监测的全部潜力仍然受到几个因素的限制,例如缺乏有关病原体在污水中存活情况的信息、污水基质的异质性、不一致的采样实践、缺乏标准测试方法以及分析技术的可变灵敏度。在这项研究中,我们回顾了上述挑战、成本影响、过程自动化以及 WBE 在全面的基于污水的社区健康筛查中的前景。使用相关关键字进行了全面的文献调查,并选择了与我们的研究重点相关的同行评审文章进行了综述,旨在为与利用污水进行早期疫情检测相关的研究提供参考。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fb28/11593539/21f815779c63/ijerph-21-01432-g001.jpg

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