Publication:
Effects of initial concentration and severity of infected cells on stochastic cellular automaton model dynamics for HIV infection

dc.contributor.authorMonamorn Precharattanaen_US
dc.contributor.authorWannapong Triampoen_US
dc.contributor.otherMahidol Universityen_US
dc.date.accessioned2018-06-11T04:45:12Z
dc.date.available2018-06-11T04:45:12Z
dc.date.issued2012-10-22en_US
dc.description.abstractThis 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.en_US
dc.identifier.citationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol.7495 LNCS, (2012), 454-463en_US
dc.identifier.doi10.1007/978-3-642-33350-7-47en_US
dc.identifier.issn16113349en_US
dc.identifier.issn03029743en_US
dc.identifier.other2-s2.0-84867547295en_US
dc.identifier.urihttps://repository.li.mahidol.ac.th/handle/20.500.14594/14030
dc.rightsMahidol Universityen_US
dc.rights.holderSCOPUSen_US
dc.source.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84867547295&origin=inwarden_US
dc.subjectComputer Scienceen_US
dc.subjectMathematicsen_US
dc.titleEffects of initial concentration and severity of infected cells on stochastic cellular automaton model dynamics for HIV infectionen_US
dc.typeConference Paperen_US
dspace.entity.typePublication
mu.datasource.scopushttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84867547295&origin=inwarden_US

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