Evidence map›Paper›PMID 31520577›Full record

ArticleTransboundary and emerging diseases2020

Prioritization of livestock transboundary diseases in Belgium using a multicriteria decision analysis tool based on drivers of emergence.

Juana Bianchini, Marie-France Humblet, Mickaël Cargnel, Yves Van der Stede, Frank Koenen, Kris de Clercq, Claude Saegerman

Open access · bronzeAbstract read
In one paragraph

Article in Transboundary and emerging diseases, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
5.1field-weighted citation impact, top 5% 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

14 citing papers in PubMed, 30 citations in OpenAlex.

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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

7 authors at 3 institutions in 2 countries.

Juana BianchiniFaculty of Veterinary Medicine, Research Unit in Epidemiology and Risk Analysis Applied to Veterinary Sciences (UREAR-ULiege), Fundamental and Applied Research for Animals & Health (FARAH), Centre, Liege University, Liege, Belgium.
Marie-France HumbletDepartment of Occupational Safety and Hygiene, Biosafety and Biosecurity Unit, Liege University, Liege, Belgium.
Mickaël CargnelFaculty of Veterinary Medicine, Research Unit in Epidemiology and Risk Analysis Applied to Veterinary Sciences (UREAR-ULiege), Fundamental and Applied Research for Animals & Health (FARAH), Centre, Liege University, Liege, Belgium.ORCID https://orcid.org/0000-0002-7490-7903
Yves Van der StedeSciensano, Brussels, Belgium.
Frank KoenenSciensano, Brussels, Belgium.
Kris de ClercqSciensano, Brussels, Belgium.
Claude SaegermanFaculty of Veterinary Medicine, Research Unit in Epidemiology and Risk Analysis Applied to Veterinary Sciences (UREAR-ULiege), Fundamental and Applied Research for Animals & Health (FARAH), Centre, Liege University, Liege, Belgium.ORCID https://orcid.org/0000-0001-9087-7436
University of Liège · BESciensano (Belgium) · BEEuropean Food Safety Authority · IT

Funding

Federal Public Service of Health, Food Chain and Environment RT13/3
6 · The paper itself

Abstract

During the past decade, livestock diseases have (re-)emerged in areas where they had been previously eradicated or never been recorded before. Drivers (i.e. factors of (re-)emergence) have been identified. Livestock diseases spread irrespective of borders, and therefore, reliable methods are required to help decision-makers to identify potential threats and try stopping their (re-)emergence. Ranking methods and multicriteria approaches are cost-effective tools for such purpose and were applied to prioritize a list of selected diseases (N = 29 including 6 zoonoses) based on the opinion of 62 experts in accordance with 50 drivers-related criteria. Diseases appearing in the upper ranking were porcine epidemic diarrhoea, foot-and-mouth disease, low pathogenic avian influenza, African horse sickness and highly pathogenic avian influenza. The tool proposed uses a multicriteria decision analysis approach to prioritize pathogens according to drivers and can be applied to other countries or diseases.

Indexed as

Decision MakingAnimalsBelgiumCost-Benefit AnalysisDecision Support TechniquesHealth PrioritiesHumansLivestockSurveys and QuestionnairesVirus DiseasesZoonosesBelgiumcluster analysisdriversexpert elicitationmulticriteria decision analysis (MCDA)prioritizationrankingsensitivity analysistransboundary diseaseszoonoses

Identifiers

PMID31520577
PMCPMC7168563
OpenAlexW2972320407

What OpenQuestion holds

Textmetadata
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.