Modelling current and future Lyme Disease risk in urban greenspaces: an agent-based approach

Kirsty Watkinson; Jonny Huck

doi:https://doi.org/10.5281/zenodo.7834999

Modelling current and future Lyme Disease risk in urban greenspaces: an agent-based approach

Kirsty Watkinson, Jonny Huck

Geography

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Abstract

Green infrastructure (GI) is an important promoter of urban biodiversity. However, improper GI planning can lead to negative outcomes (disservices) such as the increased transmission risk of Lyme Disease (LD) to humans. We describe an agent-based approach to model LD risk under current and future GI scenarios. We model the interaction of humans, ticks, and deer within GI in order to estimate LD risk to humans under different landscape scenarios. This will provide new insight into LD risk and enable policy makers to better understand how to plan GI to maximise its benefits to people and the planet.

Original language	English
Title of host publication	Proceedings of 31st Annual Geographical Information Science Research UK Conference (GISRUK), Glasgow, Scotland, 19th - 21st April 2023
DOIs	https://doi.org/10.5281/zenodo.7834999
Publication status	E-pub ahead of print - 19 Apr 2023

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AAM_Watkinson_GISRUK_2023Accepted author manuscript, 1.77 MB

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title = "Modelling current and future Lyme Disease risk in urban greenspaces: an agent-based approach",

abstract = "Green infrastructure (GI) is an important promoter of urban biodiversity. However, improper GI planning can lead to negative outcomes (disservices) such as the increased transmission risk of Lyme Disease (LD) to humans. We describe an agent-based approach to model LD risk under current and future GI scenarios. We model the interaction of humans, ticks, and deer within GI in order to estimate LD risk to humans under different landscape scenarios. This will provide new insight into LD risk and enable policy makers to better understand how to plan GI to maximise its benefits to people and the planet.",

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Modelling current and future Lyme Disease risk in urban greenspaces: an agent-based approach. / Watkinson, Kirsty ; Huck, Jonny.
Proceedings of 31st Annual Geographical Information Science Research UK Conference (GISRUK), Glasgow, Scotland, 19th - 21st April 2023 . 2023.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Huck, Jonny

PY - 2023/4/19

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N2 - Green infrastructure (GI) is an important promoter of urban biodiversity. However, improper GI planning can lead to negative outcomes (disservices) such as the increased transmission risk of Lyme Disease (LD) to humans. We describe an agent-based approach to model LD risk under current and future GI scenarios. We model the interaction of humans, ticks, and deer within GI in order to estimate LD risk to humans under different landscape scenarios. This will provide new insight into LD risk and enable policy makers to better understand how to plan GI to maximise its benefits to people and the planet.

AB - Green infrastructure (GI) is an important promoter of urban biodiversity. However, improper GI planning can lead to negative outcomes (disservices) such as the increased transmission risk of Lyme Disease (LD) to humans. We describe an agent-based approach to model LD risk under current and future GI scenarios. We model the interaction of humans, ticks, and deer within GI in order to estimate LD risk to humans under different landscape scenarios. This will provide new insight into LD risk and enable policy makers to better understand how to plan GI to maximise its benefits to people and the planet.

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DO - https://doi.org/10.5281/zenodo.7834999

M3 - Conference contribution

BT - Proceedings of 31st Annual Geographical Information Science Research UK Conference (GISRUK), Glasgow, Scotland, 19th - 21st April 2023

ER -

Modelling current and future Lyme Disease risk in urban greenspaces: an agent-based approach

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