Different environmental factors predict the occurrence of tick-borne encephalitis virus (TBEV) and reveal new potential risk areas across Europe via geospatial models

Abstract Background Tick-borne encephalitis (TBE) is the most serious tick-borne viral disease in Europe. Identifying TBE risk areas can be difficult due to hyper focal circulation of the TBE virus (TBEV) between mammals and ticks. To better define TBE hazard risks and elucidate regional-specific en...

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Bibliographic Details
Published in:International Journal of Health Geographics
Main Authors: Patrick H. Kelly, Rob Kwark, Harrison M. Marick, Julie Davis, James H. Stark, Harish Madhava, Gerhard Dobler, Jennifer C. Moïsi
Format: Article
Language:English
Published: BMC 2025-03-01
Subjects:
Tick-borne encephalitis
TBE
Ixodes
Machine-learning
Infectious disease modeling
TBE virus
Online Access:https://doi.org/10.1186/s12942-025-00388-9

Internet

https://doi.org/10.1186/s12942-025-00388-9

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