Targeting the search of African swine fever-infected wild boar carcasses

This study analyses the temporal and spatial distribution of found dead African swine fever (ASF)-positive wild boar carcasses from 2017 to January 2021 in affected European countries: Bulgaria, Estonia, Germany, Hungary, Latvia, Lithuania, Romania, Poland, Serbia and Slovakia. During this period, a...

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Autores: Allepuz Palau, Alberto|||0000-0003-3518-1991, Hovari, Mark, Masiulis, Marius, Ciaravino, Giovanna|||0000-0002-5796-8093, Beltrán-Alcrudo, Daniel|||0000-0002-8646-357X
Tipo de recurso: artículo
Fecha de publicación:2022
País:España
Institución:Universitat Autònoma de Barcelona
Repositorio:Dipòsit Digital de Documents de la UAB
Idioma:inglés
OAI Identifier:oai:ddd.uab.cat:259777
Acceso en línea:https://ddd.uab.cat/record/259777
https://dx.doi.org/urn:doi:10.1111/tbed.14504
Access Level:acceso abierto
Palabra clave:African swine fever
Early detection
Epidemiology
Surveillance
Wild boar
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spelling Targeting the search of African swine fever-infected wild boar carcassesA tool for early detectionAllepuz Palau, Alberto|||0000-0003-3518-1991Hovari, MarkMasiulis, MariusCiaravino, Giovanna|||0000-0002-5796-8093Beltrán-Alcrudo, Daniel|||0000-0002-8646-357XAfrican swine feverEarly detectionEpidemiologySurveillanceWild boarThis study analyses the temporal and spatial distribution of found dead African swine fever (ASF)-positive wild boar carcasses from 2017 to January 2021 in affected European countries: Bulgaria, Estonia, Germany, Hungary, Latvia, Lithuania, Romania, Poland, Serbia and Slovakia. During this period, a total of 21,785 cases were confirmed in 19,071 unique locations. The temporal analysis of aggregated cases per month evidenced that most countries located in southern latitudes showed a higher number of cases between January and April, whereas in northern latitudes there was no clear temporal pattern. The space-time K-function evidenced a space-time clustering in the ASF-positive wild boar carcasses, which was most prominent within distances of 2 km and within 1 week. A Bayesian hierarchical spatial model was calibrated to evaluate the association between the probability of finding ASF-positive wild boar carcasses and landscape factors (i.e. the presence of a path and paved road), land use and wild boar abundance. Results showed the highest likelihood of finding ASF-positive wild boar carcasses in areas of transition between woodland and shrub, green urban areas and mixed forests. The presence of a path and a higher abundance of wild boar also increased slightly the odds of finding an ASF-positive dead wild boar. In summary, this paper aims to provide recommendations to design a search strategy to find ASF-infected wild boar carcasses, which is a crucial activity in the management of the disease, not just for surveillance purposes (i.e. the early detection of an introduction and the regular monitoring to understand the epidemiology and dynamics), but also for control, namely the disposal of infected carcasses as a virus source. 22022-01-0120222022-01-01Articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttps://ddd.uab.cat/record/259777https://dx.doi.org/urn:doi:10.1111/tbed.14504reponame:Dipòsit Digital de Documents de la UABinstname:Universitat Autònoma de BarcelonaInglésengopen accesshttp://purl.org/coar/access_right/c_abf2Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original.https://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:ddd.uab.cat:2597772026-06-06T12:50:31Z
dc.title.none.fl_str_mv Targeting the search of African swine fever-infected wild boar carcasses
A tool for early detection
title Targeting the search of African swine fever-infected wild boar carcasses
spellingShingle Targeting the search of African swine fever-infected wild boar carcasses
Allepuz Palau, Alberto|||0000-0003-3518-1991
African swine fever
Early detection
Epidemiology
Surveillance
Wild boar
title_short Targeting the search of African swine fever-infected wild boar carcasses
title_full Targeting the search of African swine fever-infected wild boar carcasses
title_fullStr Targeting the search of African swine fever-infected wild boar carcasses
title_full_unstemmed Targeting the search of African swine fever-infected wild boar carcasses
title_sort Targeting the search of African swine fever-infected wild boar carcasses
dc.creator.none.fl_str_mv Allepuz Palau, Alberto|||0000-0003-3518-1991
Hovari, Mark
Masiulis, Marius
Ciaravino, Giovanna|||0000-0002-5796-8093
Beltrán-Alcrudo, Daniel|||0000-0002-8646-357X
author Allepuz Palau, Alberto|||0000-0003-3518-1991
author_facet Allepuz Palau, Alberto|||0000-0003-3518-1991
Hovari, Mark
Masiulis, Marius
Ciaravino, Giovanna|||0000-0002-5796-8093
Beltrán-Alcrudo, Daniel|||0000-0002-8646-357X
author_role author
author2 Hovari, Mark
Masiulis, Marius
Ciaravino, Giovanna|||0000-0002-5796-8093
Beltrán-Alcrudo, Daniel|||0000-0002-8646-357X
author2_role author
author
author
author
dc.subject.none.fl_str_mv African swine fever
Early detection
Epidemiology
Surveillance
Wild boar
topic African swine fever
Early detection
Epidemiology
Surveillance
Wild boar
description This study analyses the temporal and spatial distribution of found dead African swine fever (ASF)-positive wild boar carcasses from 2017 to January 2021 in affected European countries: Bulgaria, Estonia, Germany, Hungary, Latvia, Lithuania, Romania, Poland, Serbia and Slovakia. During this period, a total of 21,785 cases were confirmed in 19,071 unique locations. The temporal analysis of aggregated cases per month evidenced that most countries located in southern latitudes showed a higher number of cases between January and April, whereas in northern latitudes there was no clear temporal pattern. The space-time K-function evidenced a space-time clustering in the ASF-positive wild boar carcasses, which was most prominent within distances of 2 km and within 1 week. A Bayesian hierarchical spatial model was calibrated to evaluate the association between the probability of finding ASF-positive wild boar carcasses and landscape factors (i.e. the presence of a path and paved road), land use and wild boar abundance. Results showed the highest likelihood of finding ASF-positive wild boar carcasses in areas of transition between woodland and shrub, green urban areas and mixed forests. The presence of a path and a higher abundance of wild boar also increased slightly the odds of finding an ASF-positive dead wild boar. In summary, this paper aims to provide recommendations to design a search strategy to find ASF-infected wild boar carcasses, which is a crucial activity in the management of the disease, not just for surveillance purposes (i.e. the early detection of an introduction and the regular monitoring to understand the epidemiology and dynamics), but also for control, namely the disposal of infected carcasses as a virus source.
publishDate 2022
dc.date.none.fl_str_mv 2
2022-01-01
2022
2022-01-01
dc.type.none.fl_str_mv Article
http://purl.org/coar/resource_type/c_6501
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://ddd.uab.cat/record/259777
https://dx.doi.org/urn:doi:10.1111/tbed.14504
url https://ddd.uab.cat/record/259777
https://dx.doi.org/urn:doi:10.1111/tbed.14504
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
https://creativecommons.org/licenses/by/4.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
https://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Dipòsit Digital de Documents de la UAB
instname:Universitat Autònoma de Barcelona
instname_str Universitat Autònoma de Barcelona
reponame_str Dipòsit Digital de Documents de la UAB
collection Dipòsit Digital de Documents de la UAB
repository.name.fl_str_mv
repository.mail.fl_str_mv
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