Rodent Host Abundance and Climate Variability as Predictors of Tickborne Disease Risk 1 Year in Advance
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...
Published in: | Emerging Infectious Diseases |
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Main Authors: | , , |
Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
Centers for Disease Control and Prevention
2019
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Subjects: | |
Online Access: | https://doi.org/10.3201/eid2509.190684 https://doaj.org/article/80a43c063d9d42568c77eaf98a185c98 |
Summary: | 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. |
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