Literature DB >> 9271894

Analysis of a model for the pathogenesis of AIDS.

N I Stilianakis1, K Dietz, D Schenzle.   

Abstract

According to a previously proposed mathematical model, the pathogenesis of acquired immunodeficiency syndrome (AIDS) could be explained by two phenomena: direct human immunodeficiency virus (HIV) infection of CD4+ T-cell populations and ongoing generation and selection of HIV mutants with increasing replicative capacity. In the present paper, the results obtained with this model are described in more detail. For different values of biologically interpretable parameters, the model predicts very different patterns of CD4+ T-cell decline after primary infection. With the assumption of a variability of 10% to 25% of three parameters between infected individuals, the model yields a realistic distribution curve of the incubation period to AIDS.

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Year:  1997        PMID: 9271894     DOI: 10.1016/s0025-5564(97)00018-7

Source DB:  PubMed          Journal:  Math Biosci        ISSN: 0025-5564            Impact factor:   2.144


  7 in total

1.  A parameter sensitivity methodology in the context of HIV delay equation models.

Authors:  H T Banks; D M Bortz
Journal:  J Math Biol       Date:  2004-12-20       Impact factor: 2.259

2.  Analysis of recruitment and industrial human resources management for optimal productivity in the presence of the HIV/AIDS epidemic.

Authors:  Kazeem O Okosun; Oluwole D Makinde; Isaac Takaidza
Journal:  J Biol Phys       Date:  2012-11-01       Impact factor: 1.365

3.  Effectiveness of a 'hunter' virus in controlling human immunodeficiency virus type 1 infection.

Authors:  Gisela García-Ramos; Derik Castillo; Philip H Crowley
Journal:  J Gen Virol       Date:  2010-06-23       Impact factor: 3.891

4.  Computational study to determine when to initiate and alternate therapy in HIV infection.

Authors:  Matthias Haering; Andreas Hördt; Michael Meyer-Hermann; Esteban A Hernandez-Vargas
Journal:  Biomed Res Int       Date:  2014-05-11       Impact factor: 3.411

5.  Optimal control of a fractional order model for the COVID - 19 pandemic.

Authors:  Bashir Abdullahi Baba; Bulent Bilgehan
Journal:  Chaos Solitons Fractals       Date:  2021-01-29       Impact factor: 5.944

Review 6.  Modelling the course of an HIV infection: insights from ecology and evolution.

Authors:  Samuel Alizon; Carsten Magnus
Journal:  Viruses       Date:  2012-10-04       Impact factor: 5.048

7.  Optimal control of HIV/AIDS in the workplace in the presence of careless individuals.

Authors:  Baba Seidu; Oluwole D Makinde
Journal:  Comput Math Methods Med       Date:  2014-06-26       Impact factor: 2.238

  7 in total

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