P. Roy, N. Bairagi, J. Chattopadhyay, B. Chattopadhyay
{"title":"HIV model with intracellular delay — a mathematical study","authors":"P. Roy, N. Bairagi, J. Chattopadhyay, B. Chattopadhyay","doi":"10.1109/COASE.2009.5234140","DOIUrl":null,"url":null,"abstract":"Human Immunodeficiency Virus (HIV) is observed to infect the CD4+T lymphocytes in the human blood. In this article we consider a modification of a basic HIV model introduced by Herz et al. [1] representing the HIV dynamics. We introduce an intracellular delay in the disease transmission term. Our theoretical and numerical analysis show that a HIV infected subject will remain infected irrespective of the initial viral load and CD4+T cells count. However, some crucial system parameters may significantly alter the concentrations of both CD4+T cells and the HIV populations. Systematic control of these model parameters may find potential application towards better management of the disease.","PeriodicalId":386046,"journal":{"name":"2009 IEEE International Conference on Automation Science and Engineering","volume":"280 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 IEEE International Conference on Automation Science and Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/COASE.2009.5234140","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
Human Immunodeficiency Virus (HIV) is observed to infect the CD4+T lymphocytes in the human blood. In this article we consider a modification of a basic HIV model introduced by Herz et al. [1] representing the HIV dynamics. We introduce an intracellular delay in the disease transmission term. Our theoretical and numerical analysis show that a HIV infected subject will remain infected irrespective of the initial viral load and CD4+T cells count. However, some crucial system parameters may significantly alter the concentrations of both CD4+T cells and the HIV populations. Systematic control of these model parameters may find potential application towards better management of the disease.