Planning Models for Tuberculosis Control Programs

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RESUMO

A discrete-state, discrete-time simulation model of tuberculosis is presented, with submodels of preventive interventions. The model allows prediction of the prevalence of the disease over the simulation period. Preventive and control programs and their optimal budgets may be planned by using the model for cost-benefit analysis: costs are assigned to the program components and disease outcomes to determine the ratio of program expenditures to future savings on medical and socioeconomic costs of tuberculosis. Optimization is achieved by allocating funds in successive increments to alternative program components in simulation and identifying those components that lead to the greatest reduction in prevalence for the given level of expenditure. The method is applied to four hypothetical disease prevalence situations.

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