Optimal Selection of Sampling Points within Sewer Networks for Wastewater-Based Epidemiology Applications

IF 2.3 Q3 BIOCHEMICAL RESEARCH METHODS Methods and Protocols Pub Date : 2024-01-05 DOI:10.3390/mps7010006
Yao Yao, Yibo Zhu, Regina Nogueira, Frank Klawonn, Markus Wallner
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Abstract

Wastewater-based epidemiology (WBE) has great potential to monitor community public health, especially during pandemics. However, it faces substantial hurdles in pathogen surveillance through WBE, encompassing data representativeness, spatiotemporal variability, population estimates, pathogen decay, and environmental factors. This paper aims to enhance the reliability of WBE data, especially for early outbreak detection and improved sampling strategies within sewer networks. The tool implemented in this paper combines a monitoring model and an optimization model to facilitate the optimal selection of sampling points within sewer networks. The monitoring model utilizes parameters such as feces density and average water consumption to define the detectability of the virus that needs to be monitored. This allows for standardization and simplicity in the process of moving from the analysis of wastewater samples to the identification of infection in the source area. The entropy-based model can select optimal sampling points in a sewer network to obtain the most specific information at a minimum cost. The practicality of our tool is validated using data from Hildesheim, Germany, employing SARS-CoV-2 as a pilot pathogen. It is important to note that the tool’s versatility empowers its extension to monitor other pathogens in the future.
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优化选择下水道网络中的采样点,实现基于废水的流行病学应用
基于废水的流行病学(WBE)在监测社区公共卫生方面具有巨大潜力,尤其是在大流行病期间。然而,通过 WBE 进行病原体监测面临着巨大障碍,包括数据代表性、时空变异性、人口估计、病原体衰变和环境因素。本文旨在提高世界生物圈保护区数据的可靠性,特别是用于早期疫情检测和改进下水道网络内的采样策略。本文中使用的工具结合了监测模型和优化模型,有助于优化下水道网络中采样点的选择。监测模型利用粪便密度和平均用水量等参数来确定需要监测的病毒的可检测性。这使得从分析废水样本到确定感染源区域的过程变得标准化和简单化。基于熵的模型可以在下水道网络中选择最佳采样点,从而以最小的成本获取最具体的信息。我们利用德国希尔德斯海姆的数据,以 SARS-CoV-2 为试点病原体,验证了我们工具的实用性。值得注意的是,该工具的多功能性使其在未来能够扩展到监测其他病原体。
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来源期刊
Methods and Protocols
Methods and Protocols Biochemistry, Genetics and Molecular Biology-Biochemistry, Genetics and Molecular Biology (miscellaneous)
CiteScore
3.60
自引率
0.00%
发文量
85
审稿时长
8 weeks
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