摘要:Biological models have considerably assisted in the study of disease dynamics and subsequent issues related to antiviral policy and treatment. The study reported in this paper has been motivated by the HIV dynamical system of nonlinear ordinary differential equations which models the pathogenesis of the disease in order to assess the effectiveness of antiviral therapies among other parameters. we have considered nonlinear models for multivariate longitudinal data as applied to estimation of parameters in a disease dynamic model for HIV. We have studied the efficacy of treatment and other dynamic parameters in the presence of a multiplicity of covariates. In particular, we have shown that factors like age of a patient at initiation of treatment, compliance to treatment and supplementary treatment have a significant bearing on an individuals response to treatment. We are mindful of the fact that inclusion of many covariates in a complicated nonlinear model for the dynamic system could make computation of parameters more demanding, but inclusion of those significant variables, as demonstrated in this discussion, will make estimation and inference to be more meaningful and practical
关键词:HIV Disease; Biological models;HIV Dynamic system; Observational data