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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
Version:
Accepted Manuscript

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Publisher copy:
10.1098/rsif.2016.0140

Authors


More by this author
Institution:
University of Oxford
Department:
Oxford, SSD, SOGE, Environmental Change Institute
Gilbert, L More by this author
Harrison, PA More by this author
Rounsevell, MDA More by this author
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Grant:
Seventh Framework Programme (FP7/2007–2013) under grant agreement number 603416 (The IMPRESSIONS Project—Impacts and Risks from High-End Scenarios: Strategies for Innovative Solutions
Publisher:
Royal Society Publisher's website
Journal:
Journal of The Royal Society Interface Journal website
Volume:
13
Issue:
116
Pages:
Article: 20160140
Publication date:
2016
DOI:
EISSN:
1742-5662
ISSN:
1742-5689
URN:
uuid:8609a6a4-41d3-451c-9fa9-82a35aee332d
Source identifiers:
612754
Local pid:
pubs:612754

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