Evidence map›Paper›PMID 30068384›Full record

ArticleVeterinary research2018

Spatio-temporal modelling of verotoxigenic Escherichia coli O157 in cattle in Sweden: exploring options for control.

Stefan Widgren, Stefan Engblom, Ulf Emanuelson, Ann Lindberg

Abstract read
In one paragraph

Article in Veterinary research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. A 22-Site Comparison of Land-Use Practices,International journal of environmental research and public health · 2022
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  3. Article
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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.

Stefan WidgrenDepartment of Disease Control and Epidemiology, National Veterinary Institute, 751 89, Uppsala, Sweden. stefan.widgren@sva.se.ORCID 0000-0001-5745-2284
Stefan EngblomDivision of Scientific Computing, Department of Information Technology, Uppsala University, 751 05, Uppsala, Sweden.
Ulf EmanuelsonDepartment of Clinical Sciences, Swedish University of Agricultural Sciences, 750 07, Uppsala, Sweden.
Ann LindbergDepartment of Disease Control and Epidemiology, National Veterinary Institute, 751 89, Uppsala, Sweden.

Funding

Svenska Forskningsrådet Formas (SE) 2015-1609
6 · The paper itself

Abstract

A spatial data-driven stochastic model was developed to explore the spread of verotoxigenic Escherichia coli O157 (VTEC O157) by livestock movements and local transmission among neighbouring holdings in the complete Swedish cattle population. Livestock data were incorporated to model the time-varying contact network between holdings and population demographics. Furthermore, meteorological data with the average temperature at the geographical location of each holding was used to incorporate season. The model was fitted against observed data and extensive numerical experiments were conducted to investigate the model's response to control strategies aimed at reducing shedding and susceptibility, as well as interventions informed by network measures. The results showed that including local spread and season improved agreement with prevalence studies. Also, control strategies aimed at reducing the average shedding rate were more efficient in reducing the VTEC O157 prevalence than strategies based on network measures. The methodology presented in this study could provide a basis for developing disease surveillance on regional and national scales, where observed data are combined with readily available high-resolution data in simulations to get an overview of potential disease spread in unobserved regions.

Indexed as

AnimalsCattleCattle DiseasesEscherichia coli InfectionsEscherichia coli O157Models, BiologicalPrevalenceSweden

Identifiers

PMID30068384
PMCPMC6071428

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.