Cellular Automata Models on HIV Infection - PowerPoint PPT Presentation

About This Presentation
Title:

Cellular Automata Models on HIV Infection

Description:

2-dimension lattice, immune cells with different state. Rules. healthy cells- A1. A1- A2: ... HIV and Immune cells: jumping among sites. Hershberg's model ... – PowerPoint PPT presentation

Number of Views:44
Avg rating:3.0/5.0
Slides: 10
Provided by: aa270
Category:

less

Transcript and Presenter's Notes

Title: Cellular Automata Models on HIV Infection


1
Cellular Automata Models on HIV Infection
  • Shiwu Zhang
  • Based on Hershberg2001, Santos 2001

2
Outline
  • Models on HIV dynamics
  • ODE(Ordinary Differential Equation)model
  • CA(Cellular Automata) model
  • Santos CA model
  • Hershbergs model in shape space
  • Our model
  • Reference

3
ODE models
  • Characteristics
  • Allow extensive mathematical analysis
  • Reduce low CPU workload
  • Ignore spatial structure
  • View elements homogeneous
  • Fail to account for large-scale emergence
  • Examples
  • Kirsher96, Kirsher97, Kirsher98
  • Nowak96

4
CA models
  • Characteristics
  • Local interactions
  • Elements diversity
  • Spatial structure
  • High workload
  • Examples
  • Santos2001
  • Hershberg2001

5
Stantos model in spatial space
  • Elements
  • 2-dimension lattice, immune cells with different
    state
  • Rules
  • healthy cells-gtA1
  • A1-gtA2 ?
  • A2-gtdead cells
  • Dead cells-gthealthy cells/A1
  • Results
  • 3-stage disease development
  • Spatial aggregation

6
Hershbergs model in shape space
  • Elements
  • Shape space random lattice, immune cells, HIV
  • Rules
  • Local Immune cells meet HIV in same site
  • HIV is destroyed
  • Immune cells duplicate
  • Diffusion
  • HIV and Immune cells jumping among sites

7
Hershbergs model (Continued)
  • Rules
  • Global
  • HIV replicate ()
  • Immune cells is destoryed
  • Immune cells creation
  • Results
  • 3-stage dynamics
  • HIV High mutation rate-gt AIDS
  • Various latency periods

8
Motivation
  • Method Reasonable-gt Convincing
  • Multi-type elements T cells, B cells, HIV
  • Spatial space shape space
  • Accounting for important interactions
  • HIV high mutation rate
  • Immune cells stimulation
  • Immune systems global ability
  • Result
  • 3-stage dynamics of AIDS
  • HIV strain diversity
  • Mechanism influence

9
Related Papers
  • U. Hershberg et al.(2001). HIV time hierarchy
    Winning the war while losing all the battles.
    Physica A289 (1-2). http//arxiv.org/abs/nlin.AO/
    0006023
  • Z.D. Santos et al. (2001). On the dynamics of the
    evolution of HIV infection. http//arxiv.org/abs/c
    ond-mat/0008081
  • Z.D. Santos et al. (2001). Dynamics of HIV
    infection A cellular automata approach. PRL
    87(16).
  • X. Wei et al. Viral dynamics in human
    immunodeficiency virus type 1 infection. Nature
    (373) 1995
Write a Comment
User Comments (0)
About PowerShow.com