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

S. Li; L. Gilbert; P.A. Harrison; M.D.A. Rounsevell

doi:10.1098/rsif.2016.0140

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

S. Li
, L. Gilbert
, P.A. Harrison
, M.D.A. Rounsevell

Ecological Sciences

University of Oxford
University of Edinburgh

Research output: Contribution to journal › Article › peer-review

Original language	English
Article number	Art. 20160140
Journal	Journal of the Royal Society Interface
Volume	13
Issue number	116
DOIs	https://doi.org/10.1098/rsif.2016.0140
Publication status	Published - 30 Mar 2016

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 13 Climate Action

Keywords

Agent-based modeling
Borrelia
Climate change
Ixodes-ricinus ticks
Roe deer
Scotland

Access to Document

10.1098/rsif.2016.0140Licence: Unspecified licence

Cite this

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title = "Modelling the seasonality of Lyme disease risk and the potential impacts of a warming climate within the heterogeneous landscapes of Scotland.",

keywords = "Agent-based modeling, Borrelia, Climate change, Ixodes-ricinus ticks, Roe deer, Scotland",

author = "S. Li and L. Gilbert and P.A. Harrison and M.D.A. Rounsevell",

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AU - Gilbert, L.

AU - Harrison, P.A.

AU - Rounsevell, M.D.A.

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KW - Agent-based modeling

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KW - Climate change

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KW - Roe deer

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