| | |
| | |
Stat |
Members: 3645 Articles: 2'500'096 Articles rated: 2609
18 April 2024 |
|
| | | |
|
Article overview
| |
|
Equation-free modeling of evolving diseases: Coarse-grained computations with individual-based models | Jaime Cisternas
; C. William Gear
; Simon Levin
; Ioannis G. Kevrekidis
; | Date: |
9 Oct 2003 | Subject: | Adaptation and Self-Organizing Systems; Populations and Evolution | nlin.AO q-bio.PE | Abstract: | We demonstrate how direct simulation of stochastic, individual-based models can be combined with continuum numerical analysis techniques to study the dynamics of evolving diseases. % Sidestepping the necessity of obtaining explicit population-level models, the approach analyzes the (unavailable in closed form) `coarse’ macroscopic equations, estimating the necessary quantities through appropriately initialized, short `bursts’ of individual-based dynamic simulation. % We illustrate this approach by analyzing a stochastic and discrete model for the evolution of disease agents caused by point mutations within individual hosts. % Building up from classical SIR and SIRS models, our example uses a one-dimensional lattice for variant space, and assumes a finite number of individuals. % Macroscopic computational tasks enabled through this approach include stationary state computation, coarse projective integration, parametric continuation and stability analysis. | Source: | arXiv, nlin.AO/0310011 | Services: | Forum | Review | PDF | Favorites |
|
|
No review found.
Did you like this article?
Note: answers to reviews or questions about the article must be posted in the forum section.
Authors are not allowed to review their own article. They can use the forum section.
browser claudebot
|
| |
|
|
|
| News, job offers and information for researchers and scientists:
| |