Journal article
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
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Authors
Funding
+ European Union
More from this funder
Grant:
SeventhFrameworkProgramme(FP7/2007–2013)undergrantagreementnumber603416(TheIMPRESSIONSProject—Impacts
RisksfromHigh-EndScenarios:StrategiesforInnovativeSolutions
Bibliographic Details
- 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
Item Description
- Keywords:
- Pubs id:
-
pubs:612754
- UUID:
-
uuid:8609a6a4-41d3-451c-9fa9-82a35aee332d
- Local pid:
- pubs:612754
- Deposit date:
- 2016-04-01
Terms of use
- Copyright holder:
- Li et al
- Copyright date:
- 2016
- Notes:
- Copyright © 2016 The Author(s). Published by the Royal Society.
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