Evidence map›Paper›PMID 38341478›Full record

ArticleScientific reports2024

Landscape connectivity for predicting the spread of ASF in the European wild boar population.

Teresa Goicolea, Pablo Cisneros-Araújo, Cecilia Aguilar Vega, Jose Manuel Sánchez-Vizcaíno, MCruz Mateo-Sánchez, Jaime Bosch

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
7.4field-weighted citation impact, top 3% 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

13 citing papers in PubMed, 13 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

6 authors at 3 institutions in 2 countries.

Teresa GoicoleaETSI Montes, Forestal y del Medio Natural, Universidad Politécnica de Madrid, Madrid, Spain.
Pablo Cisneros-AraújoETSI Montes, Forestal y del Medio Natural, Universidad Politécnica de Madrid, Madrid, Spain.
Cecilia Aguilar VegaVISAVET Health Surveillance Center, Universidad Complutense de Madrid, Madrid, Spain.
Jose Manuel Sánchez-VizcaínoVISAVET Health Surveillance Center, Universidad Complutense de Madrid, Madrid, Spain.
MCruz Mateo-SánchezETSI Montes, Forestal y del Medio Natural, Universidad Politécnica de Madrid, Madrid, Spain.
Jaime BoschVISAVET Health Surveillance Center, Universidad Complutense de Madrid, Madrid, Spain. jbosch@ucm.es.
Universidad Politécnica de Madrid · ESUniversidad Complutense de Madrid · ESDepartment of Animal Health · VN

Funding

European Project H2020 862874A
6 · The paper itself

Abstract

African swine fever (ASF) is an infectious and highly fatal disease affecting wild and domestic swine, which is unstoppably spreading worldwide. In Europe, wild boars are one of the main drivers of spread, transmission, and maintenance of the disease. Landscape connectivity studies are the main discipline to analyze wild-species dispersal networks, and it can be an essential tool to predict dispersal-wild boar movement routes and probabilities and therefore the associated potential ASF spread through the suitable habitat. We aimed to integrate wild boar habitat connectivity predictions with their occurrence, population abundance, and ASF notifications to calculate the impact (i.e., the capacity of a landscape feature to favor ASF spread) and the risk (i.e., the likelihood of a habitat patch becoming infected) of wild boar infection across Europe. Furthermore, we tested the accuracy of the risk of infection by comparing the results with the temporal distribution of ASF cases. Our findings identified the areas with the highest impact and risk factors within Europe's central and Eastern regions where ASF is currently distributed. Additionally, the impact factor was 31 times higher on habitat patches that were infected vs non-infected, proving the utility of the proposed approach and the key role of wild boar movements in ASF-spread. All data and resulting maps are openly accessible and usable.

Indexed as

African Swine FeverAfrican Swine Fever VirusAnimalsEuropeRisk FactorsSus scrofaSwineAfrican swine feverAnimal movementDisease spreadEarly detectionInternational-corridorsLandscape connectivityProbability of connectivitySurveillance-programSus scrofaVaccination programsWild boar

Identifiers

PMID38341478
PMCPMC10858927
OpenAlexW4391722096

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.