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: In Proceedings of PPSN VIII - Eighth International Conference on Parallel Problem Solving from Nature, SEP 18-22, 2004, Univ Birmingham, Sch Comp Sci, Birmingham, England. (Full text available)

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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: Conference or workshop item (UNSPECIFIED)
Subjects: Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming,
Divisions: Faculties > Sciences > School of Computing > Applied and Interdisciplinary Informatics Group
Depositing User: Dominique Chu
Date Deposited: 24 Nov 2008 18:01 UTC
Last Modified: 04 Dec 2013 11:54 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/14097 (The current URI for this page, for reference purposes)
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