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For the people by the people: citizen science web interface for real-time monitoring of tick risk areas in Finland

Ticks and tick-borne diseases (TBDs) form a significant and growing threat to human health and well-being in Europe, with increasing numbers of tick-borne encephalitis (TBE) and Lyme borreliosis cases being reported during the past few decades. Increasing knowledge of tick risk areas and seasonal activity remains the primary method for preventing TBDs. Crowdsourcing provides the best alternative for rapidly obtaining data on tick occurrence on a national level. In order to produce and share up-to-date data about tick risk areas in Finland, an online platform, Punkkilive (www.punkkilive.fi/en), was launched in April 2021. On the website, users can submit and browse tick observations, report tick numbers and hosts, and upload pictures of ticks. Here, we looked at trends in the crowdsourced data from 2021, assessed the effect of local tick species on seasonality of observations, and examined sampling bias in the data. The high number of tick observations (n=78 837) highlights that there was demand for such a service. Approximately 97% of 5573 uploaded pictures represented ticks. Seasonal patterns of tick observations varied across Finland, highlighting variability in the risk associated with the two human-biting tick species Ixodes ricinus and I. persulcatus, the latter having a shorter, unimodal activity peak in late spring–early summer. Tick numbers were low and the proportion of new sightings was high in northern Finland, as may be expected near the latitudinal distribution limits of both species. While the number of inhabitants generally explained the number of tick observations well, geographically weighted regression models also identified areas that deviated from this general pattern. This study offers a prime example of how crowdsourcing can be applied to track vectors of zoonotic diseases, to the benefit of both researchers and the public. Areas with more or fewer observations than predicted based on number of inhabitants were revealed, wherein more specific analyses may reveal factors contributing to lower or higher risk levels that may be used in increasing awareness. We hope that the success of Punkkilive serves to highlight the usefulness of citizen science in the prevention of vector-borne diseases.

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Dataset results

For the people by the people: citizen science web interface for real-time monitoring of tick risk areas in Finland

GNSS-IR data for "Real-time water levels using GNSS-IR: a potential tool for flood monitoring"

Real-time influence of intracellular acidification and Na+/H+ exchanger inhibition on in-cell pyruvate metabolism in the perfused mouse heart: A 31P-NMR and hyperpolarized 13C-NMR study

[Data] Real-time monitoring and quality assurance for laser-based directed energy deposition: integrating co-axial imaging and self-supervised deep learning framework

Source data for graphs and charts used in the paper "A machine learning-based estimator for real-time earthquake ground-shaking predictions in Southern California"

Challenges in Developing a Real-Time Bee-Counting Radar

Real-Time Dataset of Metheorological Measurements Collected During the Project

Real-Time Dataset of Fire Sensor Measurements Collected During the Resisto Project

Datasets corresponding to publication: Machine learning assisted Real-time deformability cytometry of CD34+ cells allows to identify patients with Myelodysplastic Syndromes

Spectral imaging enables contrast agent-free real-time ischemia monitoring in laparoscopic surgery

Data from: Predicting habitat suitability and connectivity for management and conservation of urban wildlife: A real-time web application for grassland water voles

Data and Source codes for: Real-time Radial Tagging for Quantification of Left Ventricular Torsion

Dataset for the paper "Real-Time in Situ Monitoring of CO2 Electroreduction in the Liquid and Gas Phases by Coupled Mass Spectrometry and Localized Electrochemistry" DOI: 10.1021/acscatal.2c00609

A real-time feedback system stabilises the regulation of worker reproduction under various colony sizes

Spatio-thermal depth correction of RGB-D sensors based on Gaussian Processes in real-time

Datasets corresponding to "Real-time intelligent classification of COVID-19 and thrombosis via massive image-based analysis of platelet aggregates"

Real-time magnetic resonance imaging to study orthostatic intolerance mechanisms in human beings: Proof of concept

Code and Data for "Real-time dynamic single-molecule protein sequencing on an integrated semiconductor device"

Real-time imaging of thermally induced microcracks in granite with ultrahigh-temperature instrument

Supplementary Data: Real-time optimal flood control decision making under uncertainty

Understand access before you commit

Allen Brain Atlas

Annotated Behaviour and Observability Dataset (ABODe)

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