Waterborne pathogen mitigation: Decoding techno-ecological synergies in multiscale transmission networks

Pathogen spread and infection represent paramount global challenges, their intricate transmission pathways fundamentally shaped by human behavior and anthropogenic influences. Here, we elucidate pathogen transmission networks in the environment and identify the increasing risks resulting from mutant viruses and resistant bacteria. We examine the advantages and limitations of techniques for pathogen detection and advocate the development of real-time, high-precision, point-of-need assays capable of detecting microorganisms in waterborne matrices, providing a new conceptual and technological approach to future detection methods. We also highlight the inadequate protection of existing centralized disinfection methods and propose the implementation of decentralized disinfection (i.e., chemical-free and energy-efficient point-of-use disinfection) as a form of multi-barrier protection throughout the different pathways of pathogen transmission. A robust and resilient ecosystem can prevent containment sources and inhibit the bioactivity of residual pathogens, and, when working in synergy with multi-barrier disinfection, can achieve a techno-ecological framework for pathogen mitigation. We further address the fact that data-driven technologies (e.g., artificial neural networks and machine learning methods) provide a route for intelligent detection-guided disinfection and the accurate selection of pathogen indicators that are directly relevant to human health. Finally, we highlight concerns regarding potential high-risk pathogens due to climate change.

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Publication Details

Journal
The Innovation
Published
2025-10-15
DOI
https://doi.org/10.1016/j.xinn.2025.101145
Primary Topic
Vibrio bacteria research studies
Type
article
Field-Weighted Citation Impact
0.00
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article

Waterborne pathogen mitigation: Decoding techno-ecological synergies in multiscale transmission networks

Ming Xie, Zheng‐Yang Huo, Qian‐Yuan Wu, Fengchang Wu et al.
The Innovation
Vibrio bacteria research studies
article

Waterborne pathogen mitigation: Decoding techno-ecological synergies in multiscale transmission networks

Ming Xie, Zheng‐Yang Huo, Qian‐Yuan Wu, Fengchang Wu, Zechuan Yang, Miaomiao Teng, Wei Zhang, Chris Bowen, Zixuan Zhang, Gang Liu, Xiaoxiong Wang
article en

Abstract

Pathogen spread and infection represent paramount global challenges, their intricate transmission pathways fundamentally shaped by human behavior and anthropogenic influences. Here, we elucidate pathogen transmission networks in the environment and identify the increasing risks resulting from mutant viruses and resistant bacteria. We examine the advantages and limitations of techniques for pathogen detection and advocate the development of real-time, high-precision, point-of-need assays capable of detecting microorganisms in waterborne matrices, providing a new conceptual and technological approach to future detection methods. We also highlight the inadequate protection of existing centralized disinfection methods and propose the implementation of decentralized disinfection (i.e., chemical-free and energy-efficient point-of-use disinfection) as a form of multi-barrier protection throughout the different pathways of pathogen transmission. A robust and resilient ecosystem can prevent containment sources and inhibit the bioactivity of residual pathogens, and, when working in synergy with multi-barrier disinfection, can achieve a techno-ecological framework for pathogen mitigation. We further address the fact that data-driven technologies (e.g., artificial neural networks and machine learning methods) provide a route for intelligent detection-guided disinfection and the accurate selection of pathogen indicators that are directly relevant to human health. Finally, we highlight concerns regarding potential high-risk pathogens due to climate change.

The InnovationVol. 7(3)
Chinese Academy of Sciences (CN), Tsinghua–Berkeley Shenzhen Institute (CN), Chongqing Institute of Green and Intelligent Technology (CN), Research Center for Eco-Environmental Sciences (CN), Chinese Research Academy of Environmental Sciences (CN), University of Bath (GB), Renmin University of China (CN), Cranfield University (GB), Tsinghua University (CN)
Openalex Percentile: Top 74%
Vibrio bacteria research studies
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