TY - JOUR AU - Tkadlec, Emil AU - Václavík, Tomáš AU - Široký, Pavel T1 - Rodent Host Abundance and Climate Variability as Predictors of Tickborne Disease Risk 1 Year in Advance T2 - Emerging Infectious Disease journal PY - 2019 VL - 25 IS - 9 SP - 1738 SN - 1080-6059 AB - Using long-term data on incidences of Lyme disease and tickborne encephalitis, we showed that the dynamics of both diseases in central Europe are predictable from rodent host densities and climate indices. Our approach offers a simple and effective tool to predict a tickborne disease risk 1 year in advance. KW - climate variability KW - common vole KW - Ixodes ricinus KW - Lyme disease KW - Microtus arvalis KW - tickborne encephalitis KW - tickborne diseases KW - vector-borne diseases KW - vector-borne infections KW - Czech Republic KW - Germany KW - Austria KW - Slovenia KW - Hungary KW - Slovakia KW - Poland DO - 10.3201/eid2509.190684 UR - https://wwwnc.cdc.gov/eid/article/25/9/19-0684_article ER - End of Reference