Monitoring competent vectors of Crimea Congo Haemorragic Fever (ticks) , West Nile and Rift Valley Fever in Spain (mosquitos)

Occurrence Specimen
Versão mais recente published by Ministerio de Agricultura, Pesca y Alimentación on abr 14, 2025 Ministerio de Agricultura, Pesca y Alimentación

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Descrição

One Health surveillance and Vector monitoring for cross-border pathogens. Ticks and mosquitoes can transmit infectious diseases as vectors. In the frame of the SPVECTORSURV project, we are setting up in Spain a nationwide mosquito and tick monitoring system. The aim of the project is to monitor vector distribution and dynamics, and to establish an one-health surveillance system for emerging pathogens, in which mosquitoes and ticks are collected and analysed for detection of pre-selected pathogens, that in the Case of SPVECTORSURV are Crimea Congo hemorragic fever (ticks), West Nile and Rift valley fever. In this dataset we present data provided by ticks monitoring activities carried out in 2024 in the frame of work package 1 of the project devoted to Crimea Congo hemorrhagic fever. The group of the University of Balearic Islands collected ticks from the islands, and IREC collected ticks from the southern part of Spanish mainland. We have released this dataset to the public domain under a Creative Commons Attribution 4.0 International (CC BY_NC 4.0) license. We would appreciate citation of the provided DOI when using the data. If you have any questions regarding this dataset, don't hesitate contact us via the contact information provided in the metadata. Funding: EU4Health Work Program CP-g-22-04.01 (HaDEA) Project duration: Januay 2024 – December 2026 (36 months)

Registros de Dados

Os dados deste recurso de ocorrência foram publicados como um Darwin Core Archive (DwC-A), que é o formato padronizado para compartilhamento de dados de biodiversidade como um conjunto de uma ou mais tabelas de dados. A tabela de dados do núcleo contém 131 registros.

This IPT archives the data and thus serves as the data repository. The data and resource metadata are available for download in the downloads section. The versions table lists other versions of the resource that have been made publicly available and allows tracking changes made to the resource over time.

Versões

A tabela abaixo mostra apenas versões de recursos que são publicamente acessíveis.

Como citar

Pesquisadores deveriam citar esta obra da seguinte maneira:

Cáceres Garrido G, Miranda M Á, Ruiz-Fons F (2025). Monitoring competent vectors of Crimea Congo Haemorragic Fever (ticks) , West Nile and Rift Valley Fever in Spain (mosquitos). Version 1.2. Ministerio de Agricultura, Pesca y Alimentación. Occurrence dataset. https://doi.org/10.15470/fn1bet

Direitos

Pesquisadores devem respeitar a seguinte declaração de direitos:

O editor e o detentor dos direitos deste trabalho é Ministerio de Agricultura, Pesca y Alimentación. This work is licensed under a Creative Commons Attribution Non Commercial (CC-BY-NC 4.0) License.

GBIF Registration

Este recurso foi registrado no GBIF e atribuído ao seguinte GBIF UUID: fc1dd9e3-ff53-4d57-9d8e-e29afbb955b8.  Ministerio de Agricultura, Pesca y Alimentación publica este recurso, e está registrado no GBIF como um publicador de dados aprovado por GBIF Spain.

Palavras-chave

occurrences; Specimen; Monitorización; vigilancia; vectores competentes; Fiebre del Nilo occidental; Fiebre hemorrágica de Crimea Congo; Fiebre del valle del Rift.

Contatos

Germán Cáceres Garrido
  • Ponto De Contato
Ministerio Agricultura, Pesca y Alimentación
28010 Madrid
Madrid
ES
  • 0034913474132
Miguel Ángel Miranda
  • Provedor Dos Metadados
Applied Zoology and Animal Conservation research group. University of the Balearic Islands. (ZAP-UIB) Agro-Environmental and Water Economics Research Institute, University of the Balearic Islands (INAGEA)
Mallorca
Islas Baleares
ES
Francisco Ruiz-Fons
  • Provedor Dos Metadados
CSIC-IREC: Spanish Scientific Research Council – Game and Wildlife Research Institute
Ciudad Real
Castilla La Mancha
ES
Germán Cáceres Garrido
  • Ponto De Contato
  • Head of Epidemiology Department
Ministerio Agricultura, Pesca y Alimentación
  • Calle Almagro nº33
28010 Madrid
Madrid
ES
  • 0034913474132

Cobertura Geográfica

N/A

Coordenadas delimitadoras Sul Oeste [33,138, -13,359], Norte Leste [47,99, 5,625]

Dados Sobre o Projeto

One Health surveillance and Vector monitoring for cross-border pathogens Ticks and mosquitoes can transmit infectious diseases as vectors. In the SURVector project, we are setting up a nationwide mosquito and tick monitoring system. The aim of the project is to establish a one-health surveillance system for emerging pathogens, in which mosquitoes and ticks are collected and analysed for relevant pathogens. In this dataset we present the data on the ticks monitoring in the frame of activities within work package 1 devoted to Crimea Congo Hemorrhagic Fever part of this project from 2024. The group of the University of Balearic Islands collected ticks from the islands, and IREC collected ticks from the southern part of Spanish mainland. We have released this dataset to the public domain under a Creative Commons Attribution 4.0 International (CC BY_NC 4.0) license. We would appreciate it if you cite the provided DOI when using the data. If you have any questions regarding this dataset, don't hesitate to contact us via the contact information provided in the metadata. Funding: EU4Health Work Program CP-g-22-04.01 (HaDEA) Project duration: January 2024 – December 2026 (36 months)

Título Monitoring competent vectors of Crimea Congo Haemorragic Fever (ticks) , West Nile and Rift Valley Fever in Spain (mosquitos).
Financiamento EU4Health Work Program CP-g-22-04.01 (HaDEA)

O pessoal envolvido no projeto:

Germán Cáceres Garrido
  • Provedor De Conteúdo

Métodos de Amostragem

Method steps in the case of IREC 1. Researchers from CSIC-IREC defined the appropriate sampling protocol for the target species. 2. Fieldwork was planned and coordinated by CSIC-IREC. 3. Data was collected in the field by tick sampling experts. 4. Specimens were identified by experts at CSIC-IREC based on morphology. 5. The collected data was entered into an Excel database. 6. The data was verified and manually corrected by experts if necessary. 7. The data was converted to the Darwin Core Standard in accordance with VectorNet specifications. 8. The data was checked again by experts at CSIC-IREC and sent to VectorNet for validation by MAPA. 9. The dataset is published and registered with GBIF. Quality control Data are collected using a predefined sampling protocol and checked by professionals Method steps in the case of the Balearic Islands 1. Researchers from ZAP-UIB prepared protocols of extraction, vials and formulary for COFIB (Recovery center) in order to collect ticks from wild animals. 2. Personnel from COFIB collected ticks from wild animals from location was known. 3. Personnel from COFIB communicated with ZAP-UIB each time ticks were collected. Ticks were collected from COFIB and transported to INAGEA keeping cold chain and stored at -80ºC. 4. Specimens were identified by experts at INAGEA based on morphology and keeping cold chain. 5. Each identification was contrasted by at least two entomologists (MAM and CB). 6. The collected data was entered into an Excel database. 7. The data was verified and manually corrected by experts if necessary. 8. The data was converted to the Darwin Core Standard in accordance with SPVECTORSURV specifications. 9. The data was checked again by experts at ZAP-UIB and sent to SPVECTORSURV for validation by MAPA. 10. The dataset is published and registered with GBIF. Quality control Data are collected using a predefined sampling protocol and checked by professionals

Área de Estudo Captura de garrapatas en 2024 en localizaciones de la zona sur de la península (IREC) y en las islas Baleares (UIB).

Metadados Adicionais

Acknowledgements
Introduction
Propósito
Descrição da manutenção Neew data will be uploaded when it is generated by the project.
Identificadores alternativos 10.15470/fn1bet
https://ipt.gbif.es/resource?r=spvectorsurv