Dynamic HIV/AIDS parameter estimation with application to a vaccine readiness study in southern Africa.
This paper proposes a procedure of parameter estimation for all parameters of the three-dimensional HIV model. The least square based procedure uses standard optimization routines to allow parameter extraction for individual patients. It is shown how additional information from outside a measurement dataset can be included in the estimation routine to increase the reliability and accuracy of parameter estimates. A dataset from 44 patients of Southern Africa is analyzed to find the set point and the time until set point for these patients together with an estimate of the model parameters with confidence intervals for the cohort. The procedure is also applied to a long-term dataset of the HIV/AIDS progression to find possible variations in parameters.
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Department of Electrical, Electronic and Computer Engineering, University of Pretoria, 0002 Pretoria, South Africa. s98013051@tuks.co.za
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D000163:Acquired Immunodeficiency Syndrome / Q000188:drug therapy* / Q000821:virology*; D000353:Africa, Southern; D019380:Anti-HIV Agents / Q000008:administration & dosage*; D015331:Cohort Studies; D003198:Computer Simulation; D003936:Diagnosis, Computer-Assisted / Q000379:methods; D004360:Drug Therapy, Computer-Assisted / Q000379:methods*; D006678:HIV / Q000187:drug effects* / Q000472:pathogenicity; D006801:Humans; D016233:Immunotherapy, Active / Q000379:methods; D008954:Models, Biological; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D019562:Viral Load / Q000379:methods*
D019380:Anti-HIV Agents