Evidence map›Paper›PMID 32537461›Full record

ArticleFrontiers in veterinary science2020

Hierarchical Structures in Livestock Trade Networks-A Stochastic Block Model of the German Cattle Trade Network.

Laura Brzoska, Mareike Fischer, Hartmut H K Lentz

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Frontiers in veterinary science, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.8field-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

4 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. The contribution of bovines to human health against viral infections.Environmental science and pollution research international · 2021
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors at 2 institutions in 1 country.

Laura BrzoskaInstitute of Mathematics and Computer Science, University of Greifswald, Greifswald, Germany.
Mareike FischerInstitute of Mathematics and Computer Science, University of Greifswald, Greifswald, Germany.
Hartmut H K LentzInstitute of Epidemiology, Friedrich-Loeffler-Institut, Greifswald-Insel Riems, Greifswald, Germany.
Universität Greifswald · DEFriedrich-Loeffler-Institut · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Trade of cattle between farms forms a complex trade network. We investigate partitions of this network for cattle trade in Germany. These partitions are groups of farms with similar properties and they are inferred directly from the trade pattern between farms. We make use of a rather new method known as stochastic block modeling (SBM) in order to divide the network into smaller units. SBM turns out to outperform the more established community detection method in the context of disease control in terms of trade restriction. Moreover, SBM is also superior to geographical based trade restrictions and could be a promising approach for disease control.

Indexed as

cattle tradeepidemic modelGermanymodularitynetwork analysisstochastic block model

Identifiers

PMID32537461
PMCPMC7266987
OpenAlexW3030201154

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.