Dr Anne Cori

Contact details

Dr Anne Cori

Dr Anne Cori

I have joined the Medical Research Council (MRC) Centre for Outbreak Analysis and Modelling in November 2010, as a research associate and I am also part of the Evolutionary Epidemiology research group led by Professor Christophe Fraser.

My research focuses on modelling the heterogeneity and temporal variability in infectious diseases transmission. Quantifying the heterogeneity in disease transmission is a fundamental step towards targeted control measures, and quantifying the temporal pattern of the risk of infection allows to assess the efficiency of those control measure,s either from real data, or from simulated ones.

So far, I have mainly been working on directly transmitted diseases such as SARS and flu. However, I am interested in providing generic mathematical methods to help designing control measures in case of epidemics, disregarding the pathogen causing the epidemic.

My research essentially involves estimation techniques for complex models in a Bayesian framework, typically Monte Carlo Markov Chain (MCMC) estimation, with data augmentation when necessary, and simulations.

I am co-organizing our 2 week course on Mathematical Models of the Epidemiology & Control of Infectious Diseases.

 

Selected Publications


Journals

  • Valtat S; Cori A; Carrat F; Valleron A-J. (22 Jul 2011). Age distribution of cases and deaths during the 1889 influenza pandemic. VACCINE. 29:B6-B10. Author weblink DOI.
  • Boelle P-Y; Ansart S; Cori A; Valleron A-J. (1 Sep 2011). Transmission parameters of the A/H1N1 (2009) influenza virus pandemic: a review. INFLUENZA AND OTHER RESPIRATORY VIRUSES. 5:306-316. DOI.
  • Valleron AJ; Cori A; Valtat S; Meurisse S; Carrat F; Boëlle PY. (11 May 2010). Transmissibility and geographic spread of the 1889 influenza pandemic. Proc Natl Acad Sci U S A. 107:8778-8781. DOI.
  • Cori A; Boëlle PY; Thomas G; Leung GM; Valleron AJ. (Aug 2009). Temporal variability and social heterogeneity in disease transmission: the case of SARS in Hong Kong. PLoS Comput Biol. 5:e1000471. DOI.
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