A stochastic modeling of early HIV-1 population dynamics

A Kamina; R W Makuch; H Zhao

doi:10.1016/s0025-5564(00)00069-9

A stochastic modeling of early HIV-1 population dynamics

Math Biosci. 2001 Apr;170(2):187-98. doi: 10.1016/s0025-5564(00)00069-9.

Authors

A Kamina¹, R W Makuch, H Zhao

Affiliation

¹ Division of Biostatistics, Department of Epidemiology and Public Health, Yale School of Medicine, New Haven, CT 06510, USA.

PMID: 11292498
DOI: 10.1016/s0025-5564(00)00069-9

Abstract

In a recent paper, Tuckwell and Le Corfec [J. Theor. Biol. 195 (1998) 450-463] applied the multi-dimensional diffusion process to model early human immunodeficiency virus type-1 (HIV-1) population dynamics. The purpose of this paper is to assess certain features and consequences of their model in the context of Tan and Wu's stochastic approach [Math. Biosci. 147 (1998) 173-205].

MeSH terms

Computer Simulation
HIV Infections / immunology*
HIV Infections / virology*
HIV-1 / growth & development
HIV-1 / immunology*
Humans
Models, Immunological*
Monte Carlo Method
Population Dynamics
Stochastic Processes
Viral Load