Evidence map›Paper›PMID 41902293›Full record

SynthesisViruses2026

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

Mishuk Shaha, Ashutosh Das, Joyshri Saha, Md Mizanur Rahaman, Mukta Das Gupta, Saranika Talukder, Subir Sarker

Abstract readSystematic Review
In one paragraph

Synthesis in Viruses, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
  2. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Mishuk ShahaDepartment of Genetics and Animal Breeding, Faculty of Veterinary Medicine, Chattogram Veterinary and Animal Sciences University, Chattogram 4202, Bangladesh.ORCID 0000-0002-4485-1953
Ashutosh DasDepartment of Genetics and Animal Breeding, Faculty of Veterinary Medicine, Chattogram Veterinary and Animal Sciences University, Chattogram 4202, Bangladesh.
Joyshri SahaDepartment of Economics, Noakhali Government College, Noakhali 3800, Bangladesh.ORCID 0009-0003-5869-5431
Md Mizanur RahamanBiomedical Sciences and Molecular Biology, College of Medicine and Dentistry, James Cook University, Townsville, QLD 4811, Australia.
Mukta Das GuptaDepartment of Microbiology and Veterinary Public Health, Faculty of Veterinary Medicine, Chattogram Veterinary and Animal Sciences University, Chattogram 4202, Bangladesh.ORCID 0000-0001-9057-3803
Saranika TalukderCollege of Science and Engineering, James Cook University, Townsville, QLD 4811, Australia.ORCID 0000-0002-0453-3678
Subir SarkerBiomedical Sciences and Molecular Biology, College of Medicine and Dentistry, James Cook University, Townsville, QLD 4811, Australia.ORCID 0000-0002-2685-8377

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

Communicable Diseases, EmergingLivestockVirus DiseasesWastewaterAnimalsHumansSentinel SurveillanceSwineWastewateremerging viral pathogensenvironmental driverslivestockOne Healthwastewater-based surveillancezoonotic spillover

Identifiers

PMID41902293
PMCPMC13030463

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.