Rodent Host Abundance and Climate Variability as Predictors of Tickborne Disease Risk 1 Year in Advance
Supporting Files
Public Domain
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September 2019
File Language:
English
Details
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Alternative Title:Emerg Infect Dis
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Personal Author:
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Description: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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Subjects:
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Source:Emerg Infect Dis. 25(9):1738-1741
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Pubmed ID:31441762
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Pubmed Central ID:PMC6711232
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Document Type:
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Place as Subject:
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Volume:25
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Issue:9
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Collection(s):
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Main Document Checksum:urn:sha256:22ed86c0f42505f187b81ce8b91f4764d1b421ea9e08910ff7e043a214e19ed9
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Download URL:
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File Type:
Supporting Files
File Language:
English
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Emerging Infectious Diseases