Evidence map›Paper›PMID 31519968›Full record

ArticleScientific reports2019

Risk-based eradication as a control measure to limit the spread of LA-MRSA among Danish pig herds - a simulation study.

Jana Schulz, Anette Boklund, Nils Toft, Tariq Halasa

Abstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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.

Jana SchulzTechnical University of Denmark, National Veterinary Institute, Kemitorvet, Building 204, 2800, Kgs. Lyngby, Denmark. jana.schulz@fli.de.ORCID http://orcid.org/0000-0002-5719-4542
Anette BoklundUniversity of Copenhagen, Faculty of Health Sciences, Grønnegårdsvej 8, 1870, Frederiksberg C, Denmark.
Nils ToftTechnical University of Denmark, National Veterinary Institute, Kemitorvet, Building 204, 2800, Kgs. Lyngby, Denmark.
Tariq HalasaUniversity of Copenhagen, Faculty of Health Sciences, Grønnegårdsvej 8, 1870, Frederiksberg C, Denmark.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A national screening in 2016 identified 88% of Danish pig herds positive for livestock-associated Methicillin-resistant Staphylococcus aureus (LA-MRSA). This highlights the importance of evaluating potential control measures that could reduce the prevalence of LA-MRSA among Danish pig herds. In addition to describing the effects of (1) reduced within-herd transmission, (2) increased biosecurity, and (3) movement restrictions, the eradication of LA-MRSA as a potential control measure was investigated using a simulation model mimicking the spread of LA-MRSA among pig herds between 2006 and 2015. The latter strategy was simulated either as eradication of a random selection of herds for surveillance or as a risk-based selection of herds based on their potential to spread LA-MRSA via pig movements in four different scenarios: low- vs. high-prevalence scenarios with control measures starting in 2007 and in 2010. Almost all control measures showed the potential to reduce the spread of LA-MRSA among pig herds, especially when implemented intensively and when control measures were combined. Risk-based selection of herds for eradication led to a greater relative reduction compared to random selection. In the high-prevalence scenario in particular, combinations including risk-based eradication led to the greatest relative reduction.

Indexed as

Methicillin-Resistant Staphylococcus aureusAnimalsComputer SimulationDenmarkInfection ControlPrevalenceStaphylococcal InfectionsSwineSwine Diseases

Identifiers

PMID31519968
PMCPMC6744507

What OpenQuestion holds

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Registered trials

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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.