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Modelling the seasonality of Lyme disease risk and the potential impacts of a warming climate within the heterogeneous landscapes of Scotland

Abstract:

Lyme disease is the most prevalent vector-borne disease in the temperate Northern Hemisphere. The abundance of infected nymphal ticks is commonly used as a Lyme disease risk indicator. Temperature can influence the dynamics of disease by shaping the activity and development of ticks and, hence, altering the contact pattern and pathogen transmission between ticks and their host animals. A mechanistic, agent-based model was developed to study the temperature-driven seasonality of Ixodes ricinus...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1098/rsif.2016.0140

Authors


More by this author
Institution:
University of Oxford
Division:
SSD
Department:
SOGE
Sub department:
Environmental Change Institute
Role:
Author
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Grant:
SeventhFrameworkProgramme(FP7/2007–2013)undergrantagreementnumber603416(TheIMPRESSIONSProject—Impacts
RisksfromHigh-EndScenarios:StrategiesforInnovativeSolutions
Publisher:
Royal Society Publisher's website
Journal:
Journal of The Royal Society Interface Journal website
Volume:
13
Issue:
116
Article number:
20160140
Publication date:
2016-01-01
Acceptance date:
2016-03-04
DOI:
EISSN:
1742-5662
ISSN:
1742-5689
Source identifiers:
612754
Keywords:
Pubs id:
pubs:612754
UUID:
uuid:8609a6a4-41d3-451c-9fa9-82a35aee332d
Local pid:
pubs:612754
Deposit date:
2016-04-01

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