A mathematical study on the drug resistant virus emergence with HIV/AIDS treatment cases
| Autor: | Hyeygjeon Chang |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
0301 basic medicine
Drug media_common.quotation_subject Human immunodeficiency virus (HIV) Drug resistance medicine.disease_cause Virus 03 medical and health sciences Drug treatment 0302 clinical medicine Mathematical model Acquired immunodeficiency syndrome (AIDS) Medicine lcsh:Social sciences (General) lcsh:Science (General) media_common Multidisciplinary business.industry Drug holiday medicine.disease Virology Resistant virus 030104 developmental biology HIV/AIDS lcsh:H1-99 business 030217 neurology & neurosurgery Computer simulations lcsh:Q1-390 Research Article |
| Zdroj: | Heliyon Heliyon, Vol 7, Iss 1, Pp e05883-(2021) |
| ISSN: | 2405-8440 |
| Popis: | HIV/AIDS drug treatments, one of which is highly active anti-retroviral ther-apy (HAART), often fail by the emergence of drug resistant virus. In this paper we study a quantitative method to evaluate the chance of resistant virus gen-eration. To this end we develop a mathematical description of the possibility of the emergence of resistant virus species against drug treatments, depend-ing on the trajectories of the state variables of HIV infection dynamic model. By simulation studies of mathematical models we apply the proposed analy-sis method to HIV/AIDS drug therapies, improved gradual dosage reduction (iGDR) and structured treatment interruption (STI). Based on the analysis it can be explained the reason why STI therapy often fails. Moreover it is con-cluded that iGDR is desirable particularly by decreasing the threat of resistant virus emergence. HIV/AIDS; Mathematical model; Drug treatment; Drug resistance; Computer simulations |
| Databáze: | OpenAIRE |
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