This paper discusses the age-dependent epidemic models of transmissive diseases. The models consists of coupled partial differential equations for human population and ordinary differential equations for vector population. Based on these models, the problems of optimal control of funding level of programs to prevent spread of infections were built. The combined minimization both count of infected human population and founding level of disease transition prevention programs was selected as a target of optimization. These two criterias conflict and to resolve this contradiction in this paper using the approach of weight coefficients. Unfortunately, the problem is nonlinear in this statement and development of methods, more effective than widely known gradient methods or methods based on Pontryagin maximum principle, turned out to be rather nontrivial. For this reason this paper assumes that number of infected vectors is a constant. This simplification allow us to generalized original nonlinear models in the optimal control problem with linear dynamic system. For this problem accurate formulas of increment of cost functional and numerical method based on these formulas are built. These methods are more effective than commonly known standard methods because allows to improve control by solving one Cauchy problem. Furthermore, these methods are capable of improving extreme and degenerate controls.

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