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Wastewater as Sentinel for Emerging Viral Diseases in Livestock: A Systematic Review

Viruses 2026 Score: 60 ? 0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.
Mishuk Shaha, Ashutosh Das, Joyshri Saha, Md. Mizanur Rahaman, Mukta Das Gupta, Saranika Talukder, Subir Sarker

Summary

Researchers systematically reviewed livestock wastewater-based surveillance as an early-warning system for emerging viral pathogens, finding that agricultural effluent monitoring frequently detects viruses like H5N1 and African swine fever before clinical outbreaks, while recommending standardized protocols, next-generation sequencing integration, and cross-sectoral policy frameworks to operationalize this surveillance approach globally.

The accelerating frequency of emerging infectious diseases (EIDs) in livestock poses a significant threat to global food security, as well as to animal and public health. While wastewater-based surveillance (WBS) has advanced significantly for human health surveillance, its application to livestock production systems remains fragmented and lacks standardization. This review synthesizes current evidence on livestock wastewater-based surveillance (L-WBS) as an early-warning sentinel for emerging viral pathogens, evaluating their dynamics, economic impacts, biosecurity measures, and One Health implications. Existing studies demonstrate that L-WBS effectively detects emerging viral pathogens in agricultural effluent, swine manure, and municipal wastewater systems serving livestock regions, frequently preceding clinical outbreak recognition. We further conceptualized a multifactorial framework linking environmental drivers such as climate and ecological disruption and agricultural intensification to pathogen emergence dynamics. Economic assessments show substantial direct losses (approximately US$ 950 per H5N1-infected dairy cow and US$ 25.9 billion in African swine fever virus (ASFV)-related damages across China) alongside indirect costs from biosecurity implementation, workforce disruption, and supply-chain instability. We recommend prioritizing methodological standardization through unified sampling and extraction protocols, integration of next-generation sequencing for genomic surveillance, and cross-sectoral policy frameworks to operationalize L-WBS as a global early-warning infrastructure for mitigating zoonotic spillover and livestock-dependent community resilience.

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