Using integrated wildlife monitoring to prevent future pandemics through one health approach

In the One Health context, Integrated Wildlife Monitoring (IWM) merges wildlife health monitoring (WHM) and host community monitoring to early detect emerging infections, record changes in disease dynamics, and assess the impact of interventions in complex multi-host and multi-pathogen networks. Thi...

Descripción completa

Detalles Bibliográficos
Autores: Barroso, P., Relimpio, D., Zearra, J.A., Cerón, José Joaquín|||0000-0002-8654-1793, Palencia, P., Cardoso, B., Ferreras, E., Escobar González, María, Caceres, German, López Olvera, Jorge R.|||0000-0002-2999-3451, Gortazar, Christian|||0000-0003-0012-4006
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:270435
Acceso en línea:https://ddd.uab.cat/record/270435
https://dx.doi.org/urn:doi:10.1016/j.onehlt.2022.100479
Access Level:acceso abierto
Palabra clave:Anthropogenic imbalances
Disease risk
Host community
Integrated wildlife monitoring
One health
Wildlife health monitoring
id ES_5fe6e91f2d47ccc0dc2ea0fba85e82b7
oai_identifier_str oai:ddd.uab.cat:270435
network_acronym_str ES
network_name_str España
repository_id_str
spelling Using integrated wildlife monitoring to prevent future pandemics through one health approachBarroso, P.Relimpio, D.Zearra, J.A.Cerón, José Joaquín|||0000-0002-8654-1793Palencia, P.Cardoso, B.Ferreras, E.Escobar González, MaríaCaceres, GermanLópez Olvera, Jorge R.|||0000-0002-2999-3451Gortazar, Christian|||0000-0003-0012-4006Anthropogenic imbalancesDisease riskHost communityIntegrated wildlife monitoringOne healthWildlife health monitoringIn the One Health context, Integrated Wildlife Monitoring (IWM) merges wildlife health monitoring (WHM) and host community monitoring to early detect emerging infections, record changes in disease dynamics, and assess the impact of interventions in complex multi-host and multi-pathogen networks. This study reports the deployment and results obtained from a nationwide IWM pilot test in eleven sites representing the habitat diversity of mainland Spain. In each study site, camera-trap networks and sampling of indicator species for antibody and biomarker analysis were used to generate information. The results allowed identifying differences in biodiversity and host community characteristics among the study sites, with a range of 8 to 19 relevant host species per point. The Eurasian wild boar (Sus scrofa) was the most connected and central species of the host communities, becoming a key target indicator species for IWM. A negative relationship between biodiversity and disease risk was detected, with a lower number and prevalence of circulating pathogens in the sites with more species in the community and larger network size. However, this overall trend was modified by specific host-community and environmental factors, such as the relative index of wild boar - red deer interactions or the proximity to urban habitats, suggesting that human-driven imbalances may favour pathogen circulation. The effort of incorporating wildlife population monitoring into the currently applied WHM programs to achieve effective IWM was also evaluated, allowing to identify population monitoring as the most time-consuming component, which should be improved in the future. This first nationwide application of IWM allowed to detect drivers and hotspots for disease transmission risk among wildlife, domestic animals, and humans, as well as identifying key target indicator species for monitoring. Moreover, anthropogenic effects such as artificially high wildlife densities and urbanisation were identified as risk factors for disease prevalence and interspecific transmission. 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/270435https://dx.doi.org/urn:doi:10.1016/j.onehlt.2022.100479reponame:Dipòsit Digital de Documents de la UABinstname:Universitat Autònoma de BarcelonaInglésengMinisterio de Educación, Cultura y Deporte https://doi.org/10.13039/501100003176 FPU16/00039Ministerio de Economía y Competitividad https://doi.org/10.13039/501100003329 FPU19/04651open 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, i la comunicació pública de l'obra, sempre que no sigui amb finalitats comercials, i sempre que es reconegui l'autoria de l'obra original. No es permet la creació d'obres derivades.https://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessoai:ddd.uab.cat:2704352026-06-06T12:50:31Z
dc.title.none.fl_str_mv Using integrated wildlife monitoring to prevent future pandemics through one health approach
title Using integrated wildlife monitoring to prevent future pandemics through one health approach
spellingShingle Using integrated wildlife monitoring to prevent future pandemics through one health approach
Barroso, P.
Anthropogenic imbalances
Disease risk
Host community
Integrated wildlife monitoring
One health
Wildlife health monitoring
title_short Using integrated wildlife monitoring to prevent future pandemics through one health approach
title_full Using integrated wildlife monitoring to prevent future pandemics through one health approach
title_fullStr Using integrated wildlife monitoring to prevent future pandemics through one health approach
title_full_unstemmed Using integrated wildlife monitoring to prevent future pandemics through one health approach
title_sort Using integrated wildlife monitoring to prevent future pandemics through one health approach
dc.creator.none.fl_str_mv Barroso, P.
Relimpio, D.
Zearra, J.A.
Cerón, José Joaquín|||0000-0002-8654-1793
Palencia, P.
Cardoso, B.
Ferreras, E.
Escobar González, María
Caceres, German
López Olvera, Jorge R.|||0000-0002-2999-3451
Gortazar, Christian|||0000-0003-0012-4006
author Barroso, P.
author_facet Barroso, P.
Relimpio, D.
Zearra, J.A.
Cerón, José Joaquín|||0000-0002-8654-1793
Palencia, P.
Cardoso, B.
Ferreras, E.
Escobar González, María
Caceres, German
López Olvera, Jorge R.|||0000-0002-2999-3451
Gortazar, Christian|||0000-0003-0012-4006
author_role author
author2 Relimpio, D.
Zearra, J.A.
Cerón, José Joaquín|||0000-0002-8654-1793
Palencia, P.
Cardoso, B.
Ferreras, E.
Escobar González, María
Caceres, German
López Olvera, Jorge R.|||0000-0002-2999-3451
Gortazar, Christian|||0000-0003-0012-4006
author2_role author
author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Anthropogenic imbalances
Disease risk
Host community
Integrated wildlife monitoring
One health
Wildlife health monitoring
topic Anthropogenic imbalances
Disease risk
Host community
Integrated wildlife monitoring
One health
Wildlife health monitoring
description In the One Health context, Integrated Wildlife Monitoring (IWM) merges wildlife health monitoring (WHM) and host community monitoring to early detect emerging infections, record changes in disease dynamics, and assess the impact of interventions in complex multi-host and multi-pathogen networks. This study reports the deployment and results obtained from a nationwide IWM pilot test in eleven sites representing the habitat diversity of mainland Spain. In each study site, camera-trap networks and sampling of indicator species for antibody and biomarker analysis were used to generate information. The results allowed identifying differences in biodiversity and host community characteristics among the study sites, with a range of 8 to 19 relevant host species per point. The Eurasian wild boar (Sus scrofa) was the most connected and central species of the host communities, becoming a key target indicator species for IWM. A negative relationship between biodiversity and disease risk was detected, with a lower number and prevalence of circulating pathogens in the sites with more species in the community and larger network size. However, this overall trend was modified by specific host-community and environmental factors, such as the relative index of wild boar - red deer interactions or the proximity to urban habitats, suggesting that human-driven imbalances may favour pathogen circulation. The effort of incorporating wildlife population monitoring into the currently applied WHM programs to achieve effective IWM was also evaluated, allowing to identify population monitoring as the most time-consuming component, which should be improved in the future. This first nationwide application of IWM allowed to detect drivers and hotspots for disease transmission risk among wildlife, domestic animals, and humans, as well as identifying key target indicator species for monitoring. Moreover, anthropogenic effects such as artificially high wildlife densities and urbanisation were identified as risk factors for disease prevalence and interspecific transmission.
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/270435
https://dx.doi.org/urn:doi:10.1016/j.onehlt.2022.100479
url https://ddd.uab.cat/record/270435
https://dx.doi.org/urn:doi:10.1016/j.onehlt.2022.100479
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.relation.none.fl_str_mv Ministerio de Educación, Cultura y Deporte https://doi.org/10.13039/501100003176 FPU16/00039
Ministerio de Economía y Competitividad https://doi.org/10.13039/501100003329 FPU19/04651
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
https://creativecommons.org/licenses/by-nc-nd/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-nc-nd/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
_version_ 1869409252417732608
score 15,300719

Similares en LA Referencia