An Efficient Therapy Strategy under a Novel HIV Model
Author(s) -
Chunming Zhang,
Xiaofan Yang,
Wanping Liu,
LuXing Yang
Publication year - 2011
Publication title -
discrete dynamics in nature and society
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.264
H-Index - 39
eISSN - 1607-887X
pISSN - 1026-0226
DOI - 10.1155/2011/828509
Subject(s) - human immunodeficiency virus (hiv) , context (archaeology) , computer science , control (management) , virus , virology , medicine , artificial intelligence , biology , paleontology
By incorporating the chemotherapy into a previous model describing the interaction of the immune system with the human immunodeficiency virus (HIV), this paper proposes a novel HIV virus spread model with control variables. Our goal is to maximize the number of healthy cells and, meanwhile, to minimize the cost of chemotherapy. In this context, the existence of an optimal control is proved. Experimental results show that, under this model, the spread of HIV virus can be controlled effectively
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