Paper Info
Title
Spread of Vector Borne Diseases in a Population with Spatial Structure
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.
Year
DOI
Venue
2004
10.1007/978-3-540-30217-9_23
Lecture Notes in Computer Science
Keywords
Field
DocType
artificial life,vector borne disease,computer model,mathematical modelling,computer programming,infectious disease
Artificial life,Applied mathematics,Population,Mathematical simulation,Mathematical optimization,Perfect mixing,Computer science,High field,Computational model,Artificial intelligence,Spatial structure
Conference
Volume
ISSN
Citations 
3242
0302-9743
1
PageRank 
References 
Authors
0.40
3
2
Name
Order
Citations
PageRank
Dominique Chu14912.07
Jonathan E. Rowe245856.35