Potential impact of tuberculosis vaccines as epidemic control agents.

We use 2 simple mathematical models (one a preexposure vaccine model and the other a postexposure vaccine model) to provide general insight into the effects of vaccination on tuberculosis epidemics. We discuss how these models can be used as health policy tools: to identify which vaccines are "equivalent," to design control strategies, and to predict the epidemiological impact of different vaccination strategies. Our results show that even moderately effective vaccines could have a significant effect on reducing tuberculosis epidemics if they can be coupled with moderate to high treatment rates. We suggest that both preexposure and postexposure tuberculosis vaccines can be used to help eliminate tuberculosis in developing countries. In developed countries, only a preexposure vaccine (used in combination with a high level of treatment) would be necessary to eliminate tuberculosis.

[1]  S. Blower,et al.  Predicting and preventing the emergence of antiviral drug resistance in HSV-2 , 1998, Nature Medicine.

[2]  H. Waaler,et al.  Dependence liability of "non-narcotic" drugs. , 1970, Bulletin of the World Health Organization.

[3]  S. Blower,et al.  The intrinsic transmission dynamics of tuberculosis epidemics , 1995, Nature Medicine.

[4]  Sally M. Blower,et al.  Imperfect vaccines and herd immunity to HIV , 1993, Proceedings of the Royal Society of London. Series B: Biological Sciences.

[5]  S. Blower,et al.  Quantifying the intrinsic transmission dynamics of tuberculosis. , 1998, Theoretical population biology.

[6]  R. Brookmeyer,et al.  Quantitative evaluation of HIV prevention programs , 2001 .

[7]  Gieri Simonett,et al.  Mathematical models in medical and health science , 1998 .

[8]  Travis C. Porco,et al.  Designing HIV Vaccination Policies: Subtypes and Cross-Immunity , 1998, Interfaces.

[9]  H T Waaler,et al.  The use of an epidemiological model for estimating the effectiveness of tuberculosis control measures. Sensitivity of the effectiveness of tuberculosis control measures to the coverage of the population. , 1969, Bulletin of the World Health Organization.

[10]  J. Mckinney,et al.  The death and resurrection of tuberculosis , 1999, Nature Medicine.

[11]  Katia Koelle,et al.  Antibiotic resistance—to treat... , 1999, Nature Medicine.

[12]  Katia Koelle,et al.  Health Policy Modeling: Epidemic Control, HIV Vaccines, and Risky Behavior , 2001 .

[13]  H. Waaler,et al.  Use of an epidemiological model for estimating the effectiveness of tuberculosis control measures. Sensitivity of the effectiveness of tuberculosis control measures to the social time preference. , 1970, Bulletin of the World Health Organization.

[14]  J. Gerberding,et al.  Understanding, predicting and controlling the emergence of drug-resistant tuberculosis: a theoretical framework , 1998, Journal of Molecular Medicine.

[15]  G A Colditz,et al.  Evaluation of tuberculosis control policies using computer simulation. , 1996, JAMA.

[16]  E Ackerman,et al.  Herd immunity: basic concept and relevance to public health immunization practices. , 1971, American journal of epidemiology.

[17]  S. Blower,et al.  Control Strategies for Tuberculosis Epidemics: New Models for Old Problems , 1996, Science.

[18]  C. Murray,et al.  Modeling the impact of global tuberculosis control strategies. , 1998, Proceedings of the National Academy of Sciences of the United States of America.

[19]  S. Blower,et al.  Modelling HIV vaccination. , 1995, Trends in microbiology.

[20]  Travis C. Porco,et al.  HIV vaccines: The effect of the mode of action on the coexistence of HIV subtypes , 2000 .

[21]  S. Blower,et al.  Leprosy and tuberculosis: the epidemiological consequences of cross-immunity. , 1997, American journal of public health.

[22]  S. Blower,et al.  Prophylactic vaccines, risk behavior change, and the probability of eradicating HIV in San Francisco. , 1994, Science.

[23]  C. Castillo-Chavez,et al.  Global stability of an age-structure model for TB and its applications to optimal vaccination strategies. , 1998, Mathematical biosciences.

[24]  S. Blower,et al.  Uncertainty and sensitivity analysis of the basic reproductive rate. Tuberculosis as an example. , 1997, American journal of epidemiology.

[25]  R. May,et al.  Infectious Diseases of Humans: Dynamics and Control , 1991, Annals of Internal Medicine.