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

Data Records

The data in this occurrence resource has been published as a Darwin Core Archive (DwC-A), which is a standardized format for sharing biodiversity data as a set of one or more data tables. The core data table contains 131 records.

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.

Versions

The table below shows only published versions of the resource that are publicly accessible.

How to cite

Researchers should cite this work as follows:

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

Rights

Researchers should respect the following rights statement:

The publisher and rights holder of this work is 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

This resource has been registered with GBIF, and assigned the following GBIF UUID: fc1dd9e3-ff53-4d57-9d8e-e29afbb955b8.  Ministerio de Agricultura, Pesca y Alimentación publishes this resource, and is itself registered in GBIF as a data publisher endorsed by GBIF Spain.

Keywords

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

Contacts

Geographic Coverage

N/A

Project Data

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)

The personnel involved in the project:

Sampling Methods

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

Additional Metadata