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A Model for the Spread of Infectious Diseases in a Region

Author(s)
Hunter, Elizabeth  
MacNamee, Brian  
Kelleher, John  
Uri
http://hdl.handle.net/10197/12007
Date Issued
2020-04-30
Date Available
2021-03-04T16:45:41Z
Abstract
In understanding the dynamics of the spread of an infectious disease, it is important tounderstand how a town’s place in a network of towns within a region will impact how the diseasespreads to that town and from that town. In this article, we take a model for the spread of aninfectious disease in a single town and scale it up to simulate a region containing multiple towns.The model is validated by looking at how adding additional towns and commuters influences theoutbreak in a single town. We then look at how the centrality of a town within a network influencesthe outbreak. Our main finding is that the commuters coming into a town have a greater effect onwhether an outbreak will spread to a town than the commuters going out. The findings on centralityof a town and how it influences an outbreak could potentially be used to help influence future policyand intervention strategies such as school closure policies.
Sponsorship
European Commission - European Regional Development Fund
Science Foundation Ireland
Other Sponsorship
Insight Research Centre
The Technological University Dublin
Type of Material
Journal Article
Publisher
MDPI
Journal
International Journal of Environmental Research and Public Health
Volume
17
Issue
9
Subjects

Machine learning & st...

Infectious disease

Epidemiology

Agent-based model

Centrality

Simulation

DOI
10.3390/ijerph17093119
Language
English
Status of Item
Peer reviewed
ISSN
1660-4601
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by/3.0/ie/
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insight_publication.pdf

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407.8 KB

Format

Adobe PDF

Checksum (MD5)

8353ffc5846ed3cfc3ba4a3a177d61a8

Owning collection
Insight Research Collection
Mapped collections
Computer Science Research Collection

Item descriptive metadata is released under a CC-0 (public domain) license: https://creativecommons.org/public-domain/cc0/.
All other content is subject to copyright.

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