Evidence map›Paper›PMID 41964129›Full record

ArticleZoonoses and public health2026

Interventions Targeting the Beef Feedlot Environment to Control Antimicrobial Resistance: A Mathematical Modelling Study.

Wendy Anne Beauvais, Getahun Ejeta Agga, Terrance Arthur, John William Schmidt, Rachel Jennings, Renata Ivanek

Abstract read
In one paragraph

Article in Zoonoses and public health, 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

6 authors.

Wendy Anne BeauvaisDepartment of Population Medicine and Diagnostic Sciences, College of Veterinary Medicine, Cornell University, Ithaca, New York, USA.ORCID https://orcid.org/0000-0001-7634-3331
Getahun Ejeta AggaFood Animal Environmental Systems Research Unit, Agricultural Research Service, U.S. Department of Agriculture, Bowling Green, Kentucky, USA.ORCID https://orcid.org/0000-0002-9903-5283
Terrance ArthurRoman L. Hruska U.S. Meat Animal Research Center, Agricultural Research Service, U.S. Department of Agriculture, Clay Center, Nebraska, USA.
John William SchmidtRoman L. Hruska U.S. Meat Animal Research Center, Agricultural Research Service, U.S. Department of Agriculture, Clay Center, Nebraska, USA.
Rachel JenningsDepartment of Population Medicine and Diagnostic Sciences, College of Veterinary Medicine, Cornell University, Ithaca, New York, USA.
Renata IvanekDepartment of Population Medicine and Diagnostic Sciences, College of Veterinary Medicine, Cornell University, Ithaca, New York, USA.

Funding

National Institute of Food and AgricultureU.S. Department of Agriculture 1016738U.S. Department of Agriculture 7000433
6 · The paper itself

Abstract

introductionTo address concerns about livestock as a source of antimicrobial-resistant bacteria and genes, there have been many recent efforts worldwide to study prescribing practices, optimal antibiotic use, and alternatives to antibiotic use. However, there is empirical evidence supporting the persistence of antimicrobial resistance genes at high densities in cattle pens for at least 2 years after cattle were removed.

methodsWe describe a mathematical modelling framework to predict and explore the dynamics of antimicrobial-resistant enteric bacteria in food-producing animals and their immediate environments. Using the difference equation based compartmental modelling framework, we algebraically derive a formula for the relative rate of growth of antimicrobial-resistant enteric bacteria in the environment (R

resultsWe demonstrate that R

conclusionsFarm environments such as beef cattle feedlots may be conducive to persistence or even growth of antimicrobial resistant bacteria under a wide range of plausible conditions, even in the absence of antimicrobial use. The system may be quite resilient, and even stringent cleaning will likely not be sufficient to eliminate resistant bacteria from the environment in some climates, especially where freeze-thaw cycles are uncommon.

Indexed as

Animal HusbandryAnti-Bacterial AgentsDrug Resistance, BacterialEscherichia coliEscherichia coli InfectionsModels, TheoreticalAnimalsCattleAnti-Bacterial Agentsantimicrobial resistancebeef cattleEscherichia colifarmfeedlothygienemathematical modelling

Identifiers

PMID41964129
PMCPMC13144424

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.