Anne M Presanis

Summary

Affiliation: University of Cambridge
Country: UK

Publications

  1. ncbi Insights into the rise in HIV infections, 2001 to 2008: a Bayesian synthesis of prevalence evidence
    Anne M Presanis
    MRC Biostatistics Unit, Cambridge, UK
    AIDS 24:2849-58. 2010
  2. ncbi Bayesian evidence synthesis for a transmission dynamic model for HIV among men who have sex with men
    A M Presanis
    MRC Biostatistics Unit, Institute of Public Health, Robinson Way, Cambridge CB2 0SR, UK
    Biostatistics 12:666-81. 2011
  3. ncbi Changes in severity of 2009 pandemic A/H1N1 influenza in England: a Bayesian evidence synthesis
    A M Presanis
    Medical Research Council Biostatistics Unit, Institute of Public Health, University Forvie Site, Cambridge CB2 0SR, UK
    BMJ 343:d5408. 2011
  4. ncbi The severity of pandemic H1N1 influenza in the United States, from April to July 2009: a Bayesian analysis
    Anne M Presanis
    Medical Research Council Biostatistics Unit, Cambridge, United Kingdom
    PLoS Med 6:e1000207. 2009
  5. ncbi Bayesian modeling to unmask and predict influenza A/H1N1pdm dynamics in London
    Paul J Birrell
    Medical Research Council Biostatistics Unit, University Forvie Site, Robinson Way, Cambridge CB2 0SR, United Kingdom
    Proc Natl Acad Sci U S A 108:18238-43. 2011

Detail Information

Publications5

  1. ncbi Insights into the rise in HIV infections, 2001 to 2008: a Bayesian synthesis of prevalence evidence
    Anne M Presanis
    MRC Biostatistics Unit, Cambridge, UK
    AIDS 24:2849-58. 2010
    ..To estimate trends in prevalence of HIV infection, undiagnosed and total, among adults aged 15-44 years in England and Wales since 2001...
  2. ncbi Bayesian evidence synthesis for a transmission dynamic model for HIV among men who have sex with men
    A M Presanis
    MRC Biostatistics Unit, Institute of Public Health, Robinson Way, Cambridge CB2 0SR, UK
    Biostatistics 12:666-81. 2011
    ..Use of additional data or prior information on demographics, risk behavior change and contact parameters allows simultaneous estimation of the transition rates, compartment prevalences, contact rates, and transmission probabilities...
  3. ncbi Changes in severity of 2009 pandemic A/H1N1 influenza in England: a Bayesian evidence synthesis
    A M Presanis
    Medical Research Council Biostatistics Unit, Institute of Public Health, University Forvie Site, Cambridge CB2 0SR, UK
    BMJ 343:d5408. 2011
    ....
  4. ncbi The severity of pandemic H1N1 influenza in the United States, from April to July 2009: a Bayesian analysis
    Anne M Presanis
    Medical Research Council Biostatistics Unit, Cambridge, United Kingdom
    PLoS Med 6:e1000207. 2009
    ..We sought to estimate the probabilities that symptomatic infection would lead to hospitalization, ICU admission, and death by combining data from multiple sources...
  5. ncbi Bayesian modeling to unmask and predict influenza A/H1N1pdm dynamics in London
    Paul J Birrell
    Medical Research Council Biostatistics Unit, University Forvie Site, Robinson Way, Cambridge CB2 0SR, United Kingdom
    Proc Natl Acad Sci U S A 108:18238-43. 2011
    ..We show how this approach, which allows for real-time learning about model parameters as the epidemic progresses, is also able to provide a sequence of nested projections that are capable of accurately reflecting the epidemic evolution...