The overall objective of this research is to develop statistical methods for estimating vaccine efficacy and effectiveness in the field, and to characterize complex and long-term properties of vaccines in individuals and populations.
The specific aims are (1) to model unmeasured heterogeneity in susceptibility in vaccinated and unvaccinated populations in order to obtain interpretable parameters of protective vaccine efficacy, (2) to develop methods to estimate complex characteristics of vaccines such as sensitivity to boosting of the immune response by natural re-infection and waning of immunity, and (3) to evaluate the efficacy and effectiveness of vaccines that modify the infectiousness of an infected vaccinated person. The statistical methods we will use include frailty survival models, stochastic random effects survival models, epidemic models, linear random effects models, and Bayesian methods. Opportunities for reanalysis of data include cholera vaccine trials in Bangladesh, influenza vaccine studies in Michigan, pre-licensure chickenpox vaccine studies, measles outbreak studies, Hemophilus influenzae b vaccine studies in Georgia, and longitudinal studies of antibody titers to hepatitis B and chickenpox vaccines. Collaborative design of studies include the new cholera vaccine studies in Bangladesh and measles outbreaks in highly vaccinated populations.
|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|
|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|
|Basta, Nicole E; Chao, Dennis L; Halloran, M Elizabeth et al. (2009) Strategies for pandemic and seasonal influenza vaccination of schoolchildren in the United States. Am J Epidemiol 170:679-86|
Showing the most recent 10 out of 68 publications