Publication: Effects of initial concentration and severity of infected cells on stochastic cellular automaton model dynamics for HIV infection
Issued Date
2012-10-22
Resource Type
ISSN
16113349
03029743
03029743
Other identifier(s)
2-s2.0-84867547295
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Mahidol University
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SCOPUS
Bibliographic Citation
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol.7495 LNCS, (2012), 454-463
Suggested Citation
Monamorn Precharattana, Wannapong Triampo Effects of initial concentration and severity of infected cells on stochastic cellular automaton model dynamics for HIV infection. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol.7495 LNCS, (2012), 454-463. doi:10.1007/978-3-642-33350-7-47 Retrieved from: https://repository.li.mahidol.ac.th/handle/20.500.14594/14030
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Title
Effects of initial concentration and severity of infected cells on stochastic cellular automaton model dynamics for HIV infection
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Abstract
This work is conducted to investigate how the initial concentration and the severity of HIV which spreads over the lymphoid tissues affect the dynamics of infection, and to what extent?. Therefore, we vary the initial concentration of HIV infected cells, P M-DC , and the severity of HIV infected cells, P I-T4 , of a stochastic cellular automaton for HIV infection which describes the dynamics of HIV infected cells spreading over a patch of lymphoid tissues. Our results reveal that the variations of P M-DC and P I-T4 do not change the feature of the dynamics of the model. They affect the dynamics of the model in the following ways: the greater the magnitude of P M-DC and P I-T4 , the faster the dynamics during the primary phase, and the severity parameter has greater effect on the model than does the HIV's initial concentration. © 2012 Springer-Verlag Berlin Heidelberg.