Evidence map›Paper›PMID 34169659›Full record

ArticleTransboundary and emerging diseases2022

Development of a transboundary model of livestock disease in Europe.

Richard Bradhurst, Graeme Garner, Márk Hóvári, Maria de la Puente, Koen Mintiens, Shankar Yadav, Tiziano Federici, Ian Kopacka, Simon Stockreiter, Ivanka Kuzmanova and 11 more

Abstract read
In one paragraph

Article in Transboundary and emerging diseases, 2022. 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. Review
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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

21 authors.

Richard BradhurstCentre of Excellence for Biosecurity Risk Analysis, School of BioSciences, University of Melbourne, Melbourne, Australia.
Graeme GarnerEuropean Commission for the Control of Foot-and-Mouth Disease, FAO, Rome, Italy.
Márk HóváriEuropean Commission for the Control of Foot-and-Mouth Disease, FAO, Rome, Italy.
Maria de la PuenteEuropean Commission for the Control of Foot-and-Mouth Disease, FAO, Rome, Italy.
Koen MintiensEuropean Commission for the Control of Foot-and-Mouth Disease, FAO, Rome, Italy.
Shankar YadavEuropean Commission for the Control of Foot-and-Mouth Disease, FAO, Rome, Italy.
Tiziano FedericiEuropean Commission for the Control of Foot-and-Mouth Disease, FAO, Rome, Italy.
Ian KopackaDivision for Data, Statistics and Risk Assessment, Austrian Agency for Health and Food Safety (AGES), Graz, Austria.
Simon StockreiterDivision for Data, Statistics and Risk Assessment, Austrian Agency for Health and Food Safety (AGES), Graz, Austria.
Ivanka KuzmanovaBulgarian Food Safety Agency, Sofia, Bulgaria.
Samuil PaunovBulgarian Food Safety Agency, Sofia, Bulgaria.
Vladimir CacinovicVeterinary Inspection and Control of Food Safety Sector, State Inspectorate, Zagreb, Croatia.
Martina RubinVeterinary and Food Safety Directorate, Ministry of Agriculture, Zagreb, Croatia.
Jusztina SzilágyiHungarian National Food Chain Safety Office, Budapest, Hungary.
Zsófia Szepesiné KókányHungarian Ministry of Agriculture, Budapest, Hungary.
Annalisa SantiVeterinary Epidemiology Unit, Istituto Zooprofilattico della Lombardia e dell'Emilia-Romagna.
Marco SordilliIstituto Zooprofilattico Sperimentale del Lazio e della Toscana, Rome, Italy.
Laura SighinasNational Sanitary Veterinary and Food Safety Authority, Bucharest, Romania.
Mihaela SpiridonNational Sanitary Veterinary and Food Safety Authority, Bucharest, Romania.
Marko PotocnikAnimal Health and Animal Welfare Division Administration of the Republic of Slovenia for Food Safety, Veterinary Sector and Plant Protection, Ljubljana, Slovenia.
Keith SumptionEuropean Commission for the Control of Foot-and-Mouth Disease, FAO, Rome, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Epidemiological models of notifiable livestock disease are typically framed at a national level and targeted for specific diseases. There are inherent difficulties in extending models beyond national borders as details of the livestock population, production systems and marketing systems of neighbouring countries are not always readily available. It can also be a challenge to capture heterogeneities in production systems, control policies, and response resourcing across multiple countries, in a single transboundary model. In this paper, we describe EuFMDiS, a continental-scale modelling framework for transboundary animal disease, specifically designed to support emergency animal disease planning in Europe. EuFMDiS simulates the spread of livestock disease within and between countries and allows control policies to be enacted and resourced on a per-country basis. It provides a sophisticated decision support tool that can be used to look at the risk of disease introduction, establishment and spread; control approaches in terms of effectiveness and costs; resource management; and post-outbreak management issues.

Indexed as

Animal DiseasesFoot-and-Mouth DiseaseAnimalsDisease OutbreaksEuropeLivestockAADISEuFMDiSfoot-and-mouth diseasemodelling frameworktransboundary animal diseasestransboundary epidemiological model

Identifiers

PMID34169659
PMCPMC9545780

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.