Evidence map›Paper›PMID 42871598›Full record

ReviewFrontiers in veterinary science2026

Environmental surveillance: harnessing environmental sample data to protect animal health.

Bayyppa Gundallahalli Manjunatha Reddy, Uzma Jabeen, Hinal Kharva, Muthannan Andavar Ramakrishnan

Abstract readReview
In one paragraph

Review in Frontiers in veterinary science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Bayyppa Gundallahalli Manjunatha ReddyICAR-National Institute of Veterinary Epidemiology and Disease Informatics, Bengaluru, Karnataka, India.
Uzma JabeenICAR-National Institute of Veterinary Epidemiology and Disease Informatics, Bengaluru, Karnataka, India.
Hinal KharvaNational Centre for Biological Sciences, Tata Institute of Fundamental Research, Bangalore, Karnataka, India.
Muthannan Andavar RamakrishnanICAR - Indian Veterinary Research Institute, Bengaluru, Karnataka, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Infectious diseases in domestic animals-including those with zoonotic potential-impose a substantial global burden on food security, livelihoods, and public health. Environmental surveillance (ES) offers a critical complement to conventional animal-level diagnostics by detecting pathogens or their genetic signatures directly in the matrices through which they persist and spread: water, soil, air, manure, fomites, and arthropod vectors. This review synthesizes evidence across three analytical dimensions-matrix suitability, detection method performance, and wastewater-based epidemiology (WBE)-for 15 viral, bacterial, and parasitological diseases of domestic animals. Key findings reveal that matrix choice profoundly governs detection sensitivity: surface water and wetland sediments support infectious avian influenza virus isolation; pooled environmental feces and slurry outperform individual animal sampling for

Indexed as

animal disease surveillanceenvironmental surveillancemolecular detectionnon-invasive surveillanceOne Healthwastewater-based epidemiology

Identifiers

PMID42871598
PMCPMC13660017

What OpenQuestion holds

Textmetadata
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.