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Cellular Automata Models on HIV Infection Shiwu Zhang Based on [Hershberg2001, Santos 2001]

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Presentation on theme: "Cellular Automata Models on HIV Infection Shiwu Zhang Based on [Hershberg2001, Santos 2001]"— Presentation transcript:

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 Hershberg’s 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->A1 –A1->A2:  –A2->dead cells –Dead cells->healthy cells/A1 Results –3-stage disease development –Spatial aggregation

6 Hershberg’s 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 Hershberg’s model(Continued) Rules –Global: HIV replicate () Immune cells is destoryed Immune cells creation Results –3-stage dynamics –HIV High mutation rate-> AIDS –Various latency periods

8 Motivation Method: Reasonable-> 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 system’s 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 A:289 (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/cond-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


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