Evidence map›Paper›PMID 42559222›Full record

ArticleDisease biology, genetics, and socioecology2026

Pigs, Biomes, and the Pork Peril: A One Health and One Welfare Meta-Narrative.

Niyaz Ahmed

Abstract read
In one paragraph

Article in Disease biology, genetics, and socioecology, 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

1 author.

Niyaz AhmedPathogen Biology Laboratory, Department of Biotechnology and Bioinformatics, University of Hyderabad, Hyderabad 500046, India.

Funding

TRANSMISSION DYNAMICS OF MULTI-DRUG RESISTANT UROPATHOGENIC E. coli IN BANGLADESHR01AI116471 · NIAID · INTERNATIONAL CTR/DIARRHOEAL DIS RES · PI AMIN, MOHAMMED BADRUL · 2016 to 2020
$617k
NIAID NIH HHS R01 AI116471Wellcome Trust
6 · The paper itself

Abstract

Global pork production and consumption occupy a dominant yet insufficiently scrutinized position within modern food systems, with 1.5 billion pigs slaughtered each year, a staggering loss of animal life. This perspective synthesizes published evidence and opinion from microbiology, epidemiology, environmental science, and public health to examine risks associated with industrial pig production, including zoonotic pathogen emergence, antimicrobial resistance (AMR), environmental degradation, and chronic disease burdens. The classification of processed meat as carcinogenic by the World Health Organization reinforces the need for critical reassessment of pork-centric production and consumption systems. High-density pig farming amplifies microbial spillover, ecological pressure, and public health vulnerability through intensive resource use, antibiotic dependence, and waste externalities. The convergence of these risks within industrial swine systems warrants particular attention. Accordingly, transitioning both industrial pig production and processing toward less risk-intensive and more adaptable alternatives based on diversified, agroecological food systems entailing aquaculture, sustainable dairying, poultry, and plant-based food cultivation can provide pragmatic pathways to resilient, health-conscious, and sustainable food supplies that operate within planetary boundaries. This direction aligns with sustainable food policies and frameworks advanced by international governing bodies and directly operationalizes the integrated One Health and One Welfare frameworks.

Indexed as

antimicrobial resistancecancer riskclimate riskswine productionzoonoses

Identifiers

PMID42559222
PMCPMC13440159

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.