Evidence map›Paper›PMID 40303804›Full record

ArticleTransboundary and emerging diseases2023

A Generic Risk Assessment Model for Animal Disease Entry through Wildlife: The Example of Highly Pathogenic Avian Influenza and African Swine Fever in The Netherlands.

Michel J Counotte, Ronald Petie, Ed G M van Klink, Clazien J de Vos

Abstract read
In one paragraph

Article in Transboundary and emerging diseases, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. A risk prediction model for HPAI outbreaks in Kuwait.Frontiers in veterinary science · 2026
    Article
  2. Article
  3. Article
  4. 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

4 authors.

Michel J CounotteWageningen Bioveterinary Research, Wageningen University & Research, Lelystad, Netherlands.ORCID https://orcid.org/0000-0003-1039-6873
Ronald PetieWageningen Bioveterinary Research, Wageningen University & Research, Lelystad, Netherlands.ORCID https://orcid.org/0000-0002-4092-4756
Ed G M van KlinkWageningen Bioveterinary Research, Wageningen University & Research, Lelystad, Netherlands.ORCID https://orcid.org/0000-0002-3175-5823
Clazien J de VosWageningen Bioveterinary Research, Wageningen University & Research, Lelystad, Netherlands.ORCID https://orcid.org/0000-0002-9280-7041

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Animal diseases can enter countries or regions through the movements of infected wildlife. A generic risk model would allow to quantify the risk of entry via this introduction route for different diseases and wildlife species, despite the vast variety in both, and help policy-makers to make informed decisions. Here, we propose such a generic risk assessment model and illustrate its application by assessing the risk of entry of African swine fever (ASF) through wild boar and highly pathogenic avian influenza (HPAI) through wild birds for the Netherlands between 2014-2021. We used disease outbreak data and abstracted movement patterns to populate a stochastic risk model. We found that the entry risk of HPAI fluctuated between the years, with a peak in 2021. In that year, we estimated the number of infected birds to reach the Dutch border by wild bird migration at 273 (95% uncertainty interval: 254-290). The probability that ASF outbreaks that occurred between 2014 and 2021 reached the Dutch border through wild boar movement was very low throughout the whole period; only the upper confidence bound indicated a small entry risk. On a yearly scale, the predicted entry risk for HPAI correlated well with the number of observed outbreaks. In conclusion, we present a generic and flexible framework to assess the entry risk of disease through wildlife. The model allows rapid and transparent estimation of the entry risk for diverse diseases and wildlife species. The modular structure of the model allows for adding nuance and complexity when required or when more data becomes available.

Indexed as

African Swine FeverInfluenza in BirdsAnimalsAnimals, WildBirdsDisease OutbreaksNetherlandsRisk AssessmentSus scrofaSwine

Identifiers

PMID40303804
PMCPMC12016805

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.