Abstract

The broad, long-term objective is the development of analytic and statistical methods for the evaluation of interventions in infectious diseases.
The specific aim i s to develop analytic and statistical methods for evaluating efficacy of vaccines and effectiveness of vaccination programs against acute, directly transmitted infectious agents, such as acute, respiratory-related illnesses, given: heterogenous susceptibility of the target population, heterogenous action of the vaccine within the target population, different conditions of non-random mixing and transmission of infection, and vaccines that confer different types of protection, such as against infection or disease, or that reduce infectiousness. The experimental design and methods consist of: theoretical development and comparison of vaccine efficacy estimators and their standard errors based on: attack rates and transmission rates for randomly mixing populations, secondary attack rates for non-randomly mixing populations various methods of estimation, including maximum likelihood, log-linear models, least squares, martingales, and bootstrap, simulations using deterministic and stochastic models, analysis of data provided by the Immunization Branch of the CDC and the Task Force for Child Survival of the Carter Center.

  Funding Agency

Agency
National Institute of Health (NIH)
Institute
National Institute of Allergy and Infectious Diseases (NIAID)
Type
Research Project (R01)
Project #
5R01AI032042-02
Application #
3147064
Study Section
Special Emphasis Panel (SSS (R1))
Project Start
1992-01-01
Project End
1994-12-31
Budget Start
1993-01-01
Budget End
1993-12-31
Support Year
2
Fiscal Year
1993
Total Cost
Indirect Cost

  Institution

Name
Emory University
Department
Type
Schools of Public Health
DUNS #
042250712
City
Atlanta
State
GA
Country
United States
Zip Code
30322

  Publications

Vanderweele, Tyler J; Tchetgen Tchetgen, Eric J; Halloran, M Elizabeth (2012) Components of the indirect effect in vaccine trials: identification of contagion and infectiousness effects. Epidemiology 23:751-61
Yang, Yang; Longini Jr, Ira M; Halloran, M Elizabeth et al. (2012) A hybrid EM and Monte Carlo EM algorithm and its application to analysis of transmission of infectious diseases. Biometrics 68:1238-49
Matrajt, Laura; Longini Jr, Ira M (2012) Critical immune and vaccination thresholds for determining multiple influenza epidemic waves. Epidemics 4:22-32
Sugimoto, Jonathan D; Borse, Nagesh N; Ta, Myduc L et al. (2011) The effect of age on transmission of 2009 pandemic influenza A (H1N1) in a camp and associated households. Epidemiology 22:180-7
Kenah, Eben; Chao, Dennis L; Matrajt, Laura et al. (2011) The global transmission and control of influenza. PLoS One 6:e19515
Matrajt Jr, Laura; Longini, Ira M (2010) Optimizing vaccine allocation at different points in time during an epidemic. PLoS One 5:e13767
Yang, Yang; Halloran, M Elizabeth; Daniels, Michael J et al. (2010) Modeling Competing Infectious Pathogens from a Bayesian Perspective: Application to Influenza Studies with Incomplete Laboratory Results. J Am Stat Assoc 105:1310-1322
Chao, Dennis L; Halloran, M Elizabeth; Obenchain, Valerie J et al. (2010) FluTE, a publicly available stochastic influenza epidemic simulation model. PLoS Comput Biol 6:e1000656
Halloran, M Elizabeth; Holmes, Edward C (2009) Invited commentary: Evaluating vaccination programs using genetic sequence data. Am J Epidemiol 170:1464-6; discussion 1467-8
Yang, Yang; Halloran, M Elizabeth; Longini Jr, Ira M (2009) A Bayesian model for evaluating influenza antiviral efficacy in household studies with asymptomatic infections. Biostatistics 10:390-403

Showing the most recent 10 out of 68 publications