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Spread of Vector Borne Diseases in a Population with Spatial Structure

Chu, Dominique and Rowe, J. (2004) Spread of Vector Borne Diseases in a Population with Spatial Structure. In: Parallel Problem Solving from Nature - PPSN VIII 8th International Conference. Lecture Notes in Computer Science . Springer, Berlin, Germany, pp. 222-232. ISBN 3-540-23092-0. (doi:10.1007/978-3-540-30217-9_23) (KAR id:14097)

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Official URL
http://dx.doi.org/10.1007/978-3-540-30217-9_23

Abstract

Mathematical modelling of the spread of infectious diseases is a well established field with high practical importance. Underlying most analytical approaches is the assumption of "perfect mixing", that is the idea that the spatial structure of the population can be neglected. This assumption is crucial to the solvability of the models, but can be dropped when using computational models instead of analytical approaches. Using methods from Artificial Life, we investigate under which conditions the perfect mixing assumption becomes a good approximation to describe the spread of vector borne disease in a population with spatial structure.

Item Type: Book section
DOI/Identification number: 10.1007/978-3-540-30217-9_23
Uncontrolled keywords: Spatial Structure; People Agent; Infection Level; Vector Population; Bite Area
Subjects: Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming,
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing
Depositing User: Dominique Chu
Date Deposited: 24 Nov 2008 18:01 UTC
Last Modified: 16 Feb 2021 12:24 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/14097 (The current URI for this page, for reference purposes)
Chu, Dominique: https://orcid.org/0000-0002-3706-2905
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