MAXIMUM PRINCIPLE FOR AGE AND DURATION STRUCTURED SYSTEMS: A TOOL FOR OPTIMAL PREVENTION AND TREATMENT OF HIV

Age and duration since infection are considered in a model of optimal control of the spread of Human Immunodeficiency Virus (HIV) in countries with high prevalence. Prevention and medical treatment are selected so as to maximize an economic objective function.The model extends the classical McKendrick equation. Necessary optimality conditions in the form of Pontryagin's global maximum principle and numerical solution based on them are presented. “Critical” initial prevalence is established numerically for which there are two optimal medical treatments: one intense and another less demanding. It is shown that treatment alone can be counterproductive: increase in treatment must be accompanied by increase in prevention.

[1]  Optimal control of a nonlinear population dynamics with diffusion , 1990 .

[2]  William W. Hager,et al.  Second-Order Runge-Kutta Approximations in Control Constrained Optimal Control , 2000, SIAM J. Numer. Anal..

[3]  N. Josephy Newton's Method for Generalized Equations. , 1979 .

[4]  J. C. Dunn On State Constraint Representations and Mesh-Dependent Gradient Projection Convergence Rates for Optimal Control Problems , 2000, SIAM J. Control. Optim..

[5]  Necessary conditions for infinite-dimensional control problems , 1988, Math. Control. Signals Syst..

[6]  Wolf-Jürgen Beyn,et al.  Dynamic optimization and Skiba sets in economic examples , 2001 .

[7]  Frank C. Hoppensteadt,et al.  An Age Dependent Epidemic Model , 1974 .

[8]  B. Guo,et al.  Optimal birth control of population dynamics. , 1989, Journal of mathematical analysis and applications.

[9]  M Brokate,et al.  Pontryagin's principle for control problems in age-dependent population dynamics , 1985, Journal of mathematical biology.

[10]  Johannes Müller,et al.  Optimal Vaccination Patterns in Age-Structured Populations , 1998, SIAM J. Appl. Math..

[11]  Carlos Castillo-Chavez,et al.  Some Applications of Structured Models in Population Dynamics , 1989 .

[12]  Herbert W. Hethcote,et al.  Optimal ages of vaccination for measles , 1988 .

[13]  Carlos Castillo-Chavez,et al.  How May Infection-Age-Dependent Infectivity Affect the Dynamics of HIV/AIDS? , 1993, SIAM J. Appl. Math..

[14]  Mimmo Iannelli,et al.  Optimal Control of Population Dynamics , 1999 .

[15]  Carlos Castillo-Chavez,et al.  The Role of Long Periods of Infectiousness in the Dynamics of Acquired Immunodeficiency Syndrome (AIDS) , 1989 .

[16]  Vladimir M. Veliov,et al.  Optimality conditions for age-structured control systems☆ , 2003 .

[17]  William W. Hager,et al.  Uniform Convergence and Mesh Independence of Newton's Method for Discretized Variational Problems , 2000, SIAM J. Control. Optim..

[18]  E. Allgower,et al.  A mesh-independence principle for operator equations and their discretizations , 1986 .

[19]  J. Müller,et al.  Optimal vaccination patterns in age-structured populations: Endemic case , 2000 .

[20]  Vladimir M. Veliov Newton's method for problems of optimal control of heterogeneous systems , 2003, Optim. Methods Softw..

[21]  Lamberto Cesari,et al.  Optimization-Theory And Applications , 1983 .

[22]  H. O. Fattorini,et al.  A unified theory of necessary conditions for nonlinear nonconvex control systems , 1987 .

[23]  B. Guo,et al.  Optimal birth control of population dynamics. II. Problems with free final time, phase constraints, and mini-max costs. , 1990, Journal of mathematical analysis and applications.

[24]  J. Ball OPTIMIZATION—THEORY AND APPLICATIONS Problems with Ordinary Differential Equations (Applications of Mathematics, 17) , 1984 .

[25]  R. Triggiani,et al.  Exact boundary controllability of a first order, non-linear hyperbolic equation with non-local integral terms arising in epidemic modeling , 2000 .