Evaluation of tuberculosis control policies using computer simulation

Abstract

Objective: To develop more effective methods to assess tuberculosis (TB) control strategies so we can meet national goals for the elimination of TB in the United States.

Design: Using a semi-Markov model that divided the US population into 3 age groups and 18 clinical states based on disease status and risk for TB and human immunodeficiency virus (HIV) infection, we measured the effects of 5 changes in TB policy, introduced singly and in combination: (1) increased coverage and (2) improved efficacy of preventive therapy, (3) increased coverage and (4) improved efficacy of treatment, and (5) introduction of BCG vaccination.

Results: A BCG vaccination program that reached 10% of eligible children and 1% of eligible adults each year would produce a 17% reduction in cases and an 11% decline in deaths over 10 years. Preventive therapy programs among the general population would have little effect on the number of TB cases, but a program targeting HIV-infected patients would reduce HIV-associated TB cases and deaths 14% to 20%. A 10% improvement in the coverage and efficacy of both preventive therapy and treatment, coupled with the BCG vaccination program, would lead to a 47% decline in TB cases and a 50% decline in TB deaths relative to baseline over 10 years.

Conclusions: Improvements in treatment coverage or effectiveness alone are unlikely to reach established national goals for the elimination of TB. These goals can be achieved through a combination of improvements in current programs with targeted preventive therapy and BCG vaccination programs.