Evidence map›Paper›PMID 30446719›Full record

ArticleScientific reports2018

Drivers for Livestock-Associated Methicillin-Resistant Staphylococcus Aureus Spread Among Danish Pig Herds - A Simulation Study.

Jana Schulz, Anette Boklund, Nils Toft, Tariq Halasa

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.7field-weighted citation impact, top 16% of its field
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

7 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. Genomic Insights into Methicillin-Resistant Staphylococcus aureusApplied and environmental microbiology · 2021
    Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
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 at 1 institution in 1 country.

Jana SchulzNational Veterinary Institute, Technical University of Denmark, Kgs. Lyngby, Denmark. janson@vet.dtu.dk.ORCID http://orcid.org/0000-0002-5719-4542
Anette BoklundNational Veterinary Institute, Technical University of Denmark, Kgs. Lyngby, Denmark.
Nils ToftNational Veterinary Institute, Technical University of Denmark, Kgs. Lyngby, Denmark.
Tariq HalasaNational Veterinary Institute, Technical University of Denmark, Kgs. Lyngby, Denmark.ORCID http://orcid.org/0000-0003-1112-0254
Technical University of Denmark · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To gain insight into the rapid increase in the number of livestock-associated Methicillin-resistant Staphylococcus aureus (LA-MRSA)-positive herds in Denmark, we developed an individual-based Monte Carlo simulation model. We aimed to assess whether transmission of LA-MRSA via pig movements could explain the observed increase in the number of positive herds in Denmark, and to evaluate the effect of other between-herd transmission mechanisms. Pig movements alone were not sufficient to mimic the observed increase in LA-MRSA-positive herds in Denmark in any of the modelled scenarios. The model identified three factors that played important roles in the between-herd spread of LA-MRSA: (1) the within-herd dynamics, (2) the frequency and effectiveness of indirect transmissions, and (3) unexplainable introduction of LA-MRSA to swine herds. These factors can act as starting points for the development of LA-MRSA control programs in pig herds in order to limit the risk of its transmission to humans.

Indexed as

AnimalsAnti-Bacterial AgentsComputer SimulationDenmarkHumansLivestockMethicillinMethicillin-Resistant Staphylococcus aureusModels, TheoreticalMonte Carlo MethodRisk FactorsStaphylococcal InfectionsSwineSwine DiseasesAnti-Bacterial AgentsMethicillin

Identifiers

PMID30446719
PMCPMC6240036
OpenAlexW2901540954

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.