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Images of Ticks Submitted to the Swedish Veterinary Agency During 2024

This dataset contains all verified reports of tick sightings with corresponding images reported by the public to the "Rapportera Fästing" platform (https://rapporterafasting.sva.se) during 2024. The platform is developed and maintained by the Swedish Veterinary Agency (SVA) within the scope of the European project IDAlert (https://idalertproject.eu). The dataset is provided by SVA and is licensed under CC BY 4.0 (https://creativecommons.org/licenses/by/4.0). The dataset includes two files: ticks_2024.zip, which contains the tick image files, and ticks_2024.csv, which contains metadata about each report. The dataset contains 3337 reports with corresponding images.
Go to data source
https://doi.org/10.5281/zenodo.19051296
Download documentation (1 files / 4.05 KiB)

Documentation files

Citation and access

Data access level:

Creator/​Principal investigator(s):

Research principal:

Data contains personal data:

No

Citation:

License:

Language:

Copyright:

Swedish Veterinary Agency

Method and outcome

Unit of analysis:

Sampling procedure:

Description of sampling:

Citizen science

Time period(s) investigated:

Variables:

8

Number of individuals/​objects:

4383

Data format/​data structure:

Species and taxons:

Data collection Other

Mode of collection:

Other

Description of the mode of collection:

Citizen science

Time period(s) for data collection:

2024-01-01 - 2024-12-31

Data collector:

Instrument

Name:

Report Tick Tool

Type:

Structured questionnaire

Description of the instrument:

https://rapporterafasting.sva.se/reporttick

Geographic coverage

Geographic location:

Lowest geographic unit:

County (NUTS 3)

Highest geographic unit:

County (NUTS 3)

Administrative information

Responsible department/​unit:

Department for Chemistry, Environment and Feed Hygiene

Identifiers

DOI:

10.5281/zenodo.19051296

Funding

Funding agency:

Award number:

101057554

Award URI:

https://doi.org/10.3030/101057554

Award title:

Infectious Disease decision-support tools and Alert systems to build climate Resilience to emerging health Threats

Funding information:

There’s a real risk of climate-induced disease. Climate change is a driver (one of many) of recurrent outbreaks. Policymakers and decision-makers need tailored information and early warning and impact assessment. In this context, the EU-funded IDAlert project will explore the emergence and transmission of zoonotic pathogens by developing novel indicators, innovative early warning systems and tools for decision-makers. The project will co-create novel policy-relevant Europe-wide indicators that track past, present, and future climate-induced disease risk across hazard, exposure, and vulnerability domains at the animal, human and environment interface. The findings will pave the way for long-lasting impacts on EU climate policy and provide new tools for the European Green Deal.

Topic and keywords

Swedish Standard Classification of Research Subjects 2025:

Keywords:

Relations

Website:

Related research data:

Publications

Citation:

Omazic, A., Grandi, G., Widgren, S., Rocklöv, J., Wallin, J., Semenza, J. C., & Abiri, N. (2025). Automated tick classification using deep learning and its associated challenges in citizen science. In Scientific Reports (No. 24942; Vol. 15, Issue 1, pp. 1–18). https://doi.org/10.1038/s41598-025-10265-x

SwePub:

oai:DiVA.org:hh-57093

Citation:

Grandi, G., & de Jong, A. (2025). Importation of the exotic tick Amblyomma geoemydae into Sweden via illegally introduced turtles (Geoemyda spengleri) from Thailand. In Veterinary Parasitology: Regional Studies and Reports (Vol. 63). https://doi.org/10.1016/j.vprsr.2025.101304

SwePub:

oai:slubar.slu.se:143033

Contact

Anna Omazicanna.omazic@sva.se

Metadata

Version 1
doris
Swedish Veterinary Agency
Version 1 published:Metadata updated: