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Citizen Science Tick Observations Serve as an Early Warning System for Tick‐Borne Diseases
Journal article   Open access   Peer reviewed

Citizen Science Tick Observations Serve as an Early Warning System for Tick‐Borne Diseases

Jani Jukka Sormunen
Zoonoses and public health, Vol.73(3), pp.234-243
2026
PMID: 41699433
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Published3.08 MBDownloadView
Open Access CC BY V4.0

Abstract

Original
Crowdsourced tick observation data was associated with diagnosed Lyme borreliosis cases with a lag of 3–4 weeks and explained variation in case numbers beyond simple temperature‐driven seasonality.Models combining tick observation data and secondary variables controlling seasonality and spatial variation were able to predict weekly Lyme borreliosis cases on a nationwide scale regardless of observation source (humans, pets or all sources).Models on smaller spatial scales functioned with only tick observation and seasonality data and revealed varying temporal patterns driven by different phenologies of local tick species.

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Citation topics
1 Clinical & Life Sciences
1.258 Zoonotic Diseases
1.258.227 Tick-borne Pathogens
Web Of Science research areas
Infectious Diseases
Public, Environmental & Occupational Health
Veterinary Sciences
ESI research areas
Plant & Animal Science
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