Unmanned Aircraft Systems for Studying Spatial Abundance of Ungulates: Relevance to Spatial Epidemiology

Complex ecological and epidemiological systems require multidisciplinary and innovative research. Low cost unmanned aircraft systems (UAS) can provide information on the spatial pattern of hosts’ distribution and abundance, which is crucial as regards modelling the determinants of disease transmissi...

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Detalhes bibliográficos
Autores: Barasona García-Arévalo, José Ángel, Mulero-Pázmány, Margarita, Acevedo, Pelayo, Negro, Juan, Torres, María, Gortázar, Christian, Vicente, Joaquín
Formato: artículo
Fecha de publicación:2014
País:España
Recursos:Universidad Complutense de Madrid (UCM)
Repositorio:Docta Complutense
Idioma:inglés
OAI Identifier:oai:docta.ucm.es:20.500.14352/98844
Acesso em linha:https://hdl.handle.net/20.500.14352/98844
Access Level:acceso abierto
Palavra-chave:636.09
Veterinaria
3109 Ciencias Veterinarias
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spelling Unmanned Aircraft Systems for Studying Spatial Abundance of Ungulates: Relevance to Spatial EpidemiologyBarasona García-Arévalo, José ÁngelMulero-Pázmány, MargaritaAcevedo, PelayoNegro, JuanTorres, MaríaGortázar, ChristianVicente, Joaquín636.09Veterinaria3109 Ciencias VeterinariasComplex ecological and epidemiological systems require multidisciplinary and innovative research. Low cost unmanned aircraft systems (UAS) can provide information on the spatial pattern of hosts’ distribution and abundance, which is crucial as regards modelling the determinants of disease transmission and persistence on a fine spatial scale. In this context we have studied the spatial epidemiology of tuberculosis (TB) in the ungulate community of Doñana National Park (South-western Spain) by modelling species host (red deer, fallow deer and cattle) abundance at fine spatial scale. The use of UAS high-resolution images has allowed us to collect data to model the environmental determinants of host abundance, and in a further step to evaluate their relationships with the spatial risk of TB throughout the ungulate community. We discuss the ecological, epidemiological and logistic conditions under which UAS may contribute to study the wildlife/livestock sanitary interface, where the spatial aggregation of hosts becomes crucial. These findings are relevant for planning and implementing research, fundamentally when managing disease in multi-host systems, and focusing on risky areas. Therefore, managers should prioritize the implementation of control strategies to reduce disease of conservation, economic and social relevance.Public Library of ScienceMónica V. CunhaUniversidad Complutense de Madrid20142014-01-0120142014-01-01journal articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/20.500.14352/98844reponame:Docta Complutenseinstname:Universidad Complutense de Madrid (UCM)InglésengMinisterio de Economía y Competitividad http://dx.doi.org/10.13039/501100003329 Not available AGL2013-48523-C3-1-R DESARROLLO DE PROTOCOLOS DE MITIGACION DEL RIESGO DE CONTACTO Y TRANSMISION DE ENFERMEDADES COMPARTIDAS ENTRE GANADO Y UNGULADOS SILVESTRESMinisterio de Economía y Competitividad http://dx.doi.org/10.13039/501100003329 Not available RYC-2012-11970 RYC-2012-11970open accesshttp://purl.org/coar/access_right/c_abf2Attribution 4.0 Internationalhttp://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:docta.ucm.es:20.500.14352/988442026-06-02T12:44:21Z
dc.title.none.fl_str_mv Unmanned Aircraft Systems for Studying Spatial Abundance of Ungulates: Relevance to Spatial Epidemiology
title Unmanned Aircraft Systems for Studying Spatial Abundance of Ungulates: Relevance to Spatial Epidemiology
spellingShingle Unmanned Aircraft Systems for Studying Spatial Abundance of Ungulates: Relevance to Spatial Epidemiology
Barasona García-Arévalo, José Ángel
636.09
Veterinaria
3109 Ciencias Veterinarias
title_short Unmanned Aircraft Systems for Studying Spatial Abundance of Ungulates: Relevance to Spatial Epidemiology
title_full Unmanned Aircraft Systems for Studying Spatial Abundance of Ungulates: Relevance to Spatial Epidemiology
title_fullStr Unmanned Aircraft Systems for Studying Spatial Abundance of Ungulates: Relevance to Spatial Epidemiology
title_full_unstemmed Unmanned Aircraft Systems for Studying Spatial Abundance of Ungulates: Relevance to Spatial Epidemiology
title_sort Unmanned Aircraft Systems for Studying Spatial Abundance of Ungulates: Relevance to Spatial Epidemiology
dc.creator.none.fl_str_mv Barasona García-Arévalo, José Ángel
Mulero-Pázmány, Margarita
Acevedo, Pelayo
Negro, Juan
Torres, María
Gortázar, Christian
Vicente, Joaquín
author Barasona García-Arévalo, José Ángel
author_facet Barasona García-Arévalo, José Ángel
Mulero-Pázmány, Margarita
Acevedo, Pelayo
Negro, Juan
Torres, María
Gortázar, Christian
Vicente, Joaquín
author_role author
author2 Mulero-Pázmány, Margarita
Acevedo, Pelayo
Negro, Juan
Torres, María
Gortázar, Christian
Vicente, Joaquín
author2_role author
author
author
author
author
author
dc.contributor.none.fl_str_mv Mónica V. Cunha
Universidad Complutense de Madrid
dc.subject.none.fl_str_mv 636.09
Veterinaria
3109 Ciencias Veterinarias
topic 636.09
Veterinaria
3109 Ciencias Veterinarias
description Complex ecological and epidemiological systems require multidisciplinary and innovative research. Low cost unmanned aircraft systems (UAS) can provide information on the spatial pattern of hosts’ distribution and abundance, which is crucial as regards modelling the determinants of disease transmission and persistence on a fine spatial scale. In this context we have studied the spatial epidemiology of tuberculosis (TB) in the ungulate community of Doñana National Park (South-western Spain) by modelling species host (red deer, fallow deer and cattle) abundance at fine spatial scale. The use of UAS high-resolution images has allowed us to collect data to model the environmental determinants of host abundance, and in a further step to evaluate their relationships with the spatial risk of TB throughout the ungulate community. We discuss the ecological, epidemiological and logistic conditions under which UAS may contribute to study the wildlife/livestock sanitary interface, where the spatial aggregation of hosts becomes crucial. These findings are relevant for planning and implementing research, fundamentally when managing disease in multi-host systems, and focusing on risky areas. Therefore, managers should prioritize the implementation of control strategies to reduce disease of conservation, economic and social relevance.
publishDate 2014
dc.date.none.fl_str_mv 2014
2014-01-01
2014
2014-01-01
dc.type.none.fl_str_mv journal 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://hdl.handle.net/20.500.14352/98844
url https://hdl.handle.net/20.500.14352/98844
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.relation.none.fl_str_mv Ministerio de Economía y Competitividad http://dx.doi.org/10.13039/501100003329 Not available AGL2013-48523-C3-1-R DESARROLLO DE PROTOCOLOS DE MITIGACION DEL RIESGO DE CONTACTO Y TRANSMISION DE ENFERMEDADES COMPARTIDAS ENTRE GANADO Y UNGULADOS SILVESTRES
Ministerio de Economía y Competitividad http://dx.doi.org/10.13039/501100003329 Not available RYC-2012-11970 RYC-2012-11970
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution 4.0 International
http://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
Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Public Library of Science
publisher.none.fl_str_mv Public Library of Science
dc.source.none.fl_str_mv reponame:Docta Complutense
instname:Universidad Complutense de Madrid (UCM)
instname_str Universidad Complutense de Madrid (UCM)
reponame_str Docta Complutense
collection Docta Complutense
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,301629

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