Stochastic Modeling of the Mechanism in Virus Growth of Cells in HIV Infected Person 
S. Saranya1, G. Meenakshi2
1S.Saranya*, Research Scholar, Department of Statistics, Annamalai University, Chidambaram, (Tamil Nadu), India.
2G.Meenakshi, Assistant Professor, Department of Statistics, Annamalai University, Chidambaram, (Tamil Nadu), India.
Manuscript received on September 17, 2019. | Revised Manuscript received on October 01, 2019. | Manuscript published on October 30, 2019. | PP: 1040-1043 | Volume-9 Issue-1, October 2019 | Retrieval Number: A9470109119/2019©BEIESP | DOI: 10.35940/ijeat.A9470.109119
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The overall time required for a virus to reproduce depends collectively on the rates of multiple stages in the infection process, including initial binding of the virus particle to the surface of the cells, virus internalization and release of the virus genome, association of descendent virus particles, and release of these particles into the extracellular atmosphere. For a large number of virus type, much has been learned about the molecular, RNA or protein expression genome replication rates of the various stage. However, an attempt is been made using stochastic modeling to the overall timing and productivity of the infection stage in a cell. The numerical result to predict the probability of infection given the communication of the virus to a new individual.
Keywords: Branching Process, Poisson Property, Exponential Logarithmic Application and Normal Distribution.