Cargando…

West Nile virus in the Iberian Peninsula: using equine cases to identify high-risk areas for humans

BACKGROUND: West Nile virus (WNV) is a flavivirus with an enzootic cycle between birds and mosquitoes; humans and horses are incidental dead-end hosts. In 2020, the largest outbreak of West Nile virus infection in the Iberian Peninsula occurred, with 141 clusters in horses and 77 human cases. AIM: W...

Descripción completa

Detalles Bibliográficos
Autores principales: García-Carrasco, José-María, Muñoz, Antonio-Román, Olivero, Jesús, Segura, Marina, García-Bocanegra, Ignacio, Real, Raimundo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: European Centre for Disease Prevention and Control (ECDC) 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10557382/
https://www.ncbi.nlm.nih.gov/pubmed/37796440
http://dx.doi.org/10.2807/1560-7917.ES.2023.28.40.2200844
_version_ 1785117079932764160
author García-Carrasco, José-María
Muñoz, Antonio-Román
Olivero, Jesús
Segura, Marina
García-Bocanegra, Ignacio
Real, Raimundo
author_facet García-Carrasco, José-María
Muñoz, Antonio-Román
Olivero, Jesús
Segura, Marina
García-Bocanegra, Ignacio
Real, Raimundo
author_sort García-Carrasco, José-María
collection PubMed
description BACKGROUND: West Nile virus (WNV) is a flavivirus with an enzootic cycle between birds and mosquitoes; humans and horses are incidental dead-end hosts. In 2020, the largest outbreak of West Nile virus infection in the Iberian Peninsula occurred, with 141 clusters in horses and 77 human cases. AIM: We analysed which drivers influence spillover from the cycle to humans and equines and identified areas at risk for WNV transmission. METHODS: Based on data on WNV cases in horses and humans in 2020 in Portugal and Spain, we developed logistic regression models using environmental and anthropic variables to highlight risk areas. Models were adapted to a high-resolution risk map. RESULTS: Cases of WNV in horses could be used as indicators of viral activity and thus predict cases in humans. The risk map of horses was able to define high-risk areas for previous cases in humans and equines in Portugal and Spain, as well as predict human and horse cases in the transmission seasons of 2021 and 2022. We found that the spatial patterns of the favourable areas for outbreaks correspond to the main hydrographic basins of the Iberian Peninsula, jointly affecting Portugal and Spain. CONCLUSION: A risk map highlighting the risk areas for potential future cases could be cost-effective as a means of promoting preventive measures to decrease incidence of WNV infection in Europe, based on a One Health surveillance approach.
format Online
Article
Text
id pubmed-10557382
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher European Centre for Disease Prevention and Control (ECDC)
record_format MEDLINE/PubMed
spelling pubmed-105573822023-10-07 West Nile virus in the Iberian Peninsula: using equine cases to identify high-risk areas for humans García-Carrasco, José-María Muñoz, Antonio-Román Olivero, Jesús Segura, Marina García-Bocanegra, Ignacio Real, Raimundo Euro Surveill Surveillance BACKGROUND: West Nile virus (WNV) is a flavivirus with an enzootic cycle between birds and mosquitoes; humans and horses are incidental dead-end hosts. In 2020, the largest outbreak of West Nile virus infection in the Iberian Peninsula occurred, with 141 clusters in horses and 77 human cases. AIM: We analysed which drivers influence spillover from the cycle to humans and equines and identified areas at risk for WNV transmission. METHODS: Based on data on WNV cases in horses and humans in 2020 in Portugal and Spain, we developed logistic regression models using environmental and anthropic variables to highlight risk areas. Models were adapted to a high-resolution risk map. RESULTS: Cases of WNV in horses could be used as indicators of viral activity and thus predict cases in humans. The risk map of horses was able to define high-risk areas for previous cases in humans and equines in Portugal and Spain, as well as predict human and horse cases in the transmission seasons of 2021 and 2022. We found that the spatial patterns of the favourable areas for outbreaks correspond to the main hydrographic basins of the Iberian Peninsula, jointly affecting Portugal and Spain. CONCLUSION: A risk map highlighting the risk areas for potential future cases could be cost-effective as a means of promoting preventive measures to decrease incidence of WNV infection in Europe, based on a One Health surveillance approach. European Centre for Disease Prevention and Control (ECDC) 2023-10-05 /pmc/articles/PMC10557382/ /pubmed/37796440 http://dx.doi.org/10.2807/1560-7917.ES.2023.28.40.2200844 Text en This article is copyright of the authors or their affiliated institutions, 2023. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution (CC BY 4.0) Licence. You may share and adapt the material, but must give appropriate credit to the source, provide a link to the licence, and indicate if changes were made.
spellingShingle Surveillance
García-Carrasco, José-María
Muñoz, Antonio-Román
Olivero, Jesús
Segura, Marina
García-Bocanegra, Ignacio
Real, Raimundo
West Nile virus in the Iberian Peninsula: using equine cases to identify high-risk areas for humans
title West Nile virus in the Iberian Peninsula: using equine cases to identify high-risk areas for humans
title_full West Nile virus in the Iberian Peninsula: using equine cases to identify high-risk areas for humans
title_fullStr West Nile virus in the Iberian Peninsula: using equine cases to identify high-risk areas for humans
title_full_unstemmed West Nile virus in the Iberian Peninsula: using equine cases to identify high-risk areas for humans
title_short West Nile virus in the Iberian Peninsula: using equine cases to identify high-risk areas for humans
title_sort west nile virus in the iberian peninsula: using equine cases to identify high-risk areas for humans
topic Surveillance
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10557382/
https://www.ncbi.nlm.nih.gov/pubmed/37796440
http://dx.doi.org/10.2807/1560-7917.ES.2023.28.40.2200844
work_keys_str_mv AT garciacarrascojosemaria westnilevirusintheiberianpeninsulausingequinecasestoidentifyhighriskareasforhumans
AT munozantonioroman westnilevirusintheiberianpeninsulausingequinecasestoidentifyhighriskareasforhumans
AT oliverojesus westnilevirusintheiberianpeninsulausingequinecasestoidentifyhighriskareasforhumans
AT seguramarina westnilevirusintheiberianpeninsulausingequinecasestoidentifyhighriskareasforhumans
AT garciabocanegraignacio westnilevirusintheiberianpeninsulausingequinecasestoidentifyhighriskareasforhumans
AT realraimundo westnilevirusintheiberianpeninsulausingequinecasestoidentifyhighriskareasforhumans