Literature DB >> 8968016

Evaluation of tuberculosis control policies using computer simulation.

T F Brewer1, S J Heymann, G A Colditz, M E Wilson, K Auerbach, D Kane, H V Fineberg.   

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.

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Year:  1996        PMID: 8968016

Source DB:  PubMed          Journal:  JAMA        ISSN: 0098-7484            Impact factor:   56.272


  6 in total

1.  Beneficial and perverse effects of isoniazid preventive therapy for latent tuberculosis infection in HIV-tuberculosis coinfected populations.

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2.  Modeling the joint epidemics of TB and HIV in a South African township.

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Journal:  J Math Biol       Date:  2008-04-15       Impact factor: 2.259

3.  Modeling the impact of global tuberculosis control strategies.

Authors:  C J Murray; J A Salomon
Journal:  Proc Natl Acad Sci U S A       Date:  1998-11-10       Impact factor: 11.205

Review 4.  Epidemiological models of Mycobacterium tuberculosis complex infections.

Authors:  Cagri Ozcaglar; Amina Shabbeer; Scott L Vandenberg; Bülent Yener; Kristin P Bennett
Journal:  Math Biosci       Date:  2012-03-01       Impact factor: 2.144

5.  Multivariate Markovian modeling of tuberculosis: forecast for the United States.

Authors:  S M Debanne; R A Bielefeld; G M Cauthen; T M Daniel; D Y Rowland
Journal:  Emerg Infect Dis       Date:  2000 Mar-Apr       Impact factor: 6.883

Review 6.  To control and beyond: moving towards eliminating the global tuberculosis threat.

Authors:  Timothy F Brewer; S Jody Heymann
Journal:  J Epidemiol Community Health       Date:  2004-10       Impact factor: 3.710

  6 in total

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