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

Registros

Los datos en este recurso de registros biológicos han sido publicados como Archivo Darwin Core(DwC-A), el cual es un formato estándar para compartir datos de biodiversidad como un conjunto de una o más tablas de datos. La tabla de datos del core contiene 131 registros.

Este IPT archiva los datos y, por lo tanto, sirve como repositorio de datos. Los datos y los metadatos del recurso están disponibles para su descarga en la sección descargas. La tabla versiones enumera otras versiones del recurso que se han puesto a disposición del público y permite seguir los cambios realizados en el recurso a lo largo del tiempo.

Versiones

La siguiente tabla muestra sólo las versiones publicadas del recurso que son de acceso público.

¿Cómo referenciar?

Los usuarios deben citar este trabajo de la siguiente manera:

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

Derechos

Los usuarios deben respetar los siguientes derechos de uso:

El publicador y propietario de los derechos de este trabajo es Ministerio de Agricultura, Pesca y Alimentación. Esta obra está bajo una licencia Creative Commons de Atribución/Reconocimiento-NoComercial (CC-BY-NC 4.0).

Registro GBIF

Este recurso ha sido registrado en GBIF con el siguiente UUID: fc1dd9e3-ff53-4d57-9d8e-e29afbb955b8.  Ministerio de Agricultura, Pesca y Alimentación publica este recurso y está registrado en GBIF como un publicador de datos avalado por GBIF Spain.

Palabras clave

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

Contactos

Cobertura geográfica

N/A

Datos del proyecto

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)

Personas asociadas al proyecto:

Métodos de muestreo

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

Metadatos adicionales