Evidence map›Paper›PMID 33646415›Full record

ArticleBulletin of mathematical biology2021

A Model to Investigate the Impact of Farm Practice on Antimicrobial Resistance in UK Dairy Farms.

Christopher W Lanyon, John R King, Dov J Stekel, Rachel L Gomes

Abstract read
In one paragraph

Article in Bulletin of mathematical biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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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

4 citing papers in PubMed.

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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.

Christopher W LanyonSchool of Mathematical Sciences, University of Nottingham, Nottingham, NG7 2QL, UK. christopher.lanyon@nottingham.ac.uk.ORCID 0000-0001-6627-9268
John R KingSchool of Mathematical Sciences, University of Nottingham, Nottingham, NG7 2QL, UK.
Dov J StekelSchool of Biosciences, University of Nottingham, Loughborough, LE12 5RD, UK.
Rachel L GomesFood, Water, Waste Research Group, Faculty of Engineering, University of Nottingham, Nottingham, NG7 2RD, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The ecological and human health impact of antibiotic use and the related antimicrobial resistance (AMR) in animal husbandry is poorly understood. In many countries, there has been considerable pressure to reduce overall antibiotic use in agriculture or to cease or minimise use of human critical antibiotics. However, a more nuanced approach would consider the differential impact of use of different antibiotic classes; for example, it is not known whether reduced use of bacteriostatic or bacteriolytic classes of antibiotics would be of greater value. We have developed an ordinary differential equation model to investigate the effects of farm practice on the spread and persistence of AMR in the dairy slurry tank environment. We model the chemical fate of bacteriolytic and bacteriostatic antibiotics within the slurry and their effect on a population of bacteria, which are capable of resistance to both types of antibiotic. Through our analysis, we find that changing the rate at which a slurry tank is emptied may delay the proliferation of multidrug-resistant bacteria by up to five years depending on conditions. This finding has implications for farming practice and the policies that influence waste management practices. We also find that, within our model, the development of multidrug resistance is particularly sensitive to the use of bacteriolytic antibiotics, rather than bacteriostatic antibiotics, and this may be cause for controlling the usage of bacteriolytic antibiotics in agriculture.

Indexed as

Animal HusbandryDairyingDrug Resistance, BacterialModels, BiologicalAnimalsAnti-Bacterial AgentsBacteriaFarmsUnited KingdomAnti-Bacterial AgentsAgricultureAntibioticsAntimicrobial resistanceModellingOrdinary differential equationsSlurry

Identifiers

PMID33646415
PMCPMC7921080

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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.