Evidence map›Paper›PMID 41497378›Full record

ArticleVeterinary medicine international2025

First Expert Elicitation of Knowledge Conducted in 2023 on Possible Drivers of Observed Increasing Epizootic Haemorrhagic Disease Incidence in Europe.

Claude Saegerman

Abstract read
In one paragraph

Article in Veterinary medicine international, 2025. 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. Article
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

1 author.

Claude SaegermanResearch Unit of Epidemiology and Risk Analysis Applied to Veterinary Sciences (UREAR-ULiège), Fundamental and Applied Research for Animal and Health (FARAH) Center, Université de Liège, Liège, 4000, Belgium, ulg.ac.be.ORCID https://orcid.org/0000-0001-9087-7436

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Epizootic haemorrhagic disease (EHD) is a viral noncontagious arthropod-borne disease transmitted by blood-sucking midges of the genus Culicoides. Its causative agent, the EHD virus (EHDV), belongs to the genus Orbivirus and is responsible for domestic and wildlife ruminants' disease outbreaks, especially in North America, Asia, Africa and Oceania. These outbreaks not only cause significant morbidity and mortality but also have welfare, social and economic implications. Recently, EHD has become a real threat to the European Union, with outbreaks confirmed in October and November 2022 in Sardinia and Sicily. To better understand this phenomenon, we investigated the drivers of the observed increasing EHD incidence in Europe through expert knowledge elicitation. We listed 51 possible drivers grouped in eight domains and elicited 41 European experts to (i) allocate a score per driver, (ii) weight this score within each domain and (iii) weight the different domains and attribute an uncertainty level for each. An overall weighted score per driver was calculated, and drivers with comparable scores were grouped in four distinct terminal nodes using a regression tree analysis. The four drivers included in a terminal node with the highest scores were (i) the influence of temperature on the abundance or survival of vector populations; the legal or illegal movements of live animals from (ii) third countries or (iii) from neighbouring countries of Europe and the European Union; and (iv) the current unavailability of vaccines against Circulating Serotype 8. Our results support researchers in prioritizing studies targeting the most relevant drivers of the observed spread of EHD in animals in Europe. In addition, some strategic lines in terms of research and action are depicted.

Indexed as

clustering analysisculicoidesdriversepizootic hemorrhagic disease (EHD)epizootic hemorrhagic disease virus (EHDV)Europeexpert elicitationmulti-criteria decision analysis (MCDA)sensitivity analysisuncertaintyvector-borne disease

Identifiers

PMID41497378
PMCPMC12767466

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.