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

Investigation article published in Scientific reports

February 12nd, 2024

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




Goicolea T., Cisneros-Araujo P., Aguilar-Vega C., Sanchez-Vizcaino JM., Mateo-Sanchez MC. and Bosch J.




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

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



Participants:

Universidad Politécnica de MadridEscuela Técnica Superior de Ingeniería de Montes, Forestal y del Medio Natural. Universidad Politécnica de Madrid (UPM).

Universidad Autónoma de MadridDepartamento de Biología. Facultad de Ciencias (Biología). Universidad Autónoma de Madrid (UAM).

Universidad ComplutenseServicio de Inmunología Viral y Medicina Preventiva (SUAT). Centro de Vigilancia Sanitaria Veterinaria (VISAVET). Universidad Complutense (UCM).

Universidad ComplutenseDepartamento de Sanidad Animal. Facultad de Veterinaria. Universidad Complutense (UCM).







Scientific reports
FACTOR YEAR Q
4.600 2022

NLMID: 101563288

PMID: 38341478

ISSN: 2045-2322



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


JOURNAL: Sci Rep


NUMERACIÓN: 10;14(1):3414


AÑO: 2024


PUBLISHER: Nature Publishing Group


AUTHORS: Goicolea T., Cisneros-Araujo P., Aguilar-Vega C., Sanchez-Vizcaino JM., Mateo-Sanchez MC. and Bosch J.


3rd
Cecilia Aguilar Vega
4th
José Manuel Sánchez-Vizcaíno Rodríguez
Last
Jaime Bosch López

DOI: https://doi.org/10.1038/s41598-024-53869-5


CITE THIS PUBLICATION:

Goicolea T., Cisneros-Araujo P., Aguilar-Vega C., Sanchez-Vizcaino JM., Mateo-Sanchez MC. and Bosch J. Landscape connectivity for predicting the spread of ASF in the European wild boar population. Scientific reports. 10;14(1):3414. 2024. (A). ISSN: 2045-2322. DOI: 10.1038/s41598-024-53869-5


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