Simon Cauchemez

Summary

Affiliation: Imperial College
Country: UK

Publications

  1. pmc Household transmission of 2009 pandemic influenza A (H1N1) virus in the United States
    Simon Cauchemez
    Medical Research Council Centre for Outbreak Analysis and Modelling, Department of Infectious Disease Epidemiology, Imperial College London, London
    N Engl J Med 361:2619-27. 2009
  2. pmc Role of social networks in shaping disease transmission during a community outbreak of 2009 H1N1 pandemic influenza
    Simon Cauchemez
    Medical Research Council Centre for Outbreak Analysis and Modelling, Department of Infectious Disease Epidemiology, School of Public Health, Imperial College London, London W2 1PG, United Kingdom
    Proc Natl Acad Sci U S A 108:2825-30. 2011
  3. pmc Using routine surveillance data to estimate the epidemic potential of emerging zoonoses: application to the emergence of US swine origin influenza A H3N2v virus
    Simon Cauchemez
    MRC Centre for Outbreak Analysis and Modelling, Department of Infectious Disease Epidemiology, Imperial College London, London, United Kingdom
    PLoS Med 10:e1001399. 2013
  4. pmc Influenza infection rates, measurement errors and the interpretation of paired serology
    Simon Cauchemez
    MRC Centre for Outbreak Analysis and Modelling, Department of Infectious Disease Epidemiology, Imperial College London, London, United Kingdom
    PLoS Pathog 8:e1003061. 2012
  5. pmc Methods to infer transmission risk factors in complex outbreak data
    Simon Cauchemez
    MRC Centre for Outbreak Analysis and Modelling, Department of Infectious Disease Epidemiology, Imperial College London, London, UK
    J R Soc Interface 9:456-69. 2012
  6. doi request reprint Closure of schools during an influenza pandemic
    Simon Cauchemez
    MRC Centre for Outbreak Analysis and Modelling, Department of Infectious Disease Epidemiology, Imperial College London, St Mary s Campus, London, UK
    Lancet Infect Dis 9:473-81. 2009
  7. pmc Likelihood-based estimation of continuous-time epidemic models from time-series data: application to measles transmission in London
    Simon Cauchemez
    MRC Centre for Outbreak Analysis and Modelling, Department of Infectious Disease Epidemiology, Imperial College London, Norfolk Place, London W2 1PG, UK
    J R Soc Interface 5:885-97. 2008
  8. ncbi request reprint Estimating in real time the efficacy of measures to control emerging communicable diseases
    Simon Cauchemez
    Department of Infectious Disease Epidemiology, Faculty of Medicine, Imperial College London, London, United Kingdom
    Am J Epidemiol 164:591-7. 2006
  9. pmc Real-time estimates in early detection of SARS
    Simon Cauchemez
    Institut National de la Sante et de la Recherche Medicale, Paris, France
    Emerg Infect Dis 12:110-3. 2006
  10. pmc S. pneumoniae transmission according to inclusion in conjugate vaccines: Bayesian analysis of a longitudinal follow-up in schools
    Simon Cauchemez
    INSERM U707, Paris, France
    BMC Infect Dis 6:14. 2006

Detail Information

Publications33

  1. pmc Household transmission of 2009 pandemic influenza A (H1N1) virus in the United States
    Simon Cauchemez
    Medical Research Council Centre for Outbreak Analysis and Modelling, Department of Infectious Disease Epidemiology, Imperial College London, London
    N Engl J Med 361:2619-27. 2009
    ..Risk factors for transmission remain largely uncharacterized. We characterize the risk factors and describe the transmission of the virus within households...
  2. pmc Role of social networks in shaping disease transmission during a community outbreak of 2009 H1N1 pandemic influenza
    Simon Cauchemez
    Medical Research Council Centre for Outbreak Analysis and Modelling, Department of Infectious Disease Epidemiology, School of Public Health, Imperial College London, London W2 1PG, United Kingdom
    Proc Natl Acad Sci U S A 108:2825-30. 2011
    ....
  3. pmc Using routine surveillance data to estimate the epidemic potential of emerging zoonoses: application to the emergence of US swine origin influenza A H3N2v virus
    Simon Cauchemez
    MRC Centre for Outbreak Analysis and Modelling, Department of Infectious Disease Epidemiology, Imperial College London, London, United Kingdom
    PLoS Med 10:e1001399. 2013
    ..Additionally, existing methods do not correct for important selection and under-ascertainment biases. Here, we present simple estimation methods that overcome many of these limitations...
  4. pmc Influenza infection rates, measurement errors and the interpretation of paired serology
    Simon Cauchemez
    MRC Centre for Outbreak Analysis and Modelling, Department of Infectious Disease Epidemiology, Imperial College London, London, United Kingdom
    PLoS Pathog 8:e1003061. 2012
    ..Determining which biological phenomenon contributes most to 2-fold rises in antibody titers is essential to assess bias with the traditional case definition and offer improved estimates of influenza ARs...
  5. pmc Methods to infer transmission risk factors in complex outbreak data
    Simon Cauchemez
    MRC Centre for Outbreak Analysis and Modelling, Department of Infectious Disease Epidemiology, Imperial College London, London, UK
    J R Soc Interface 9:456-69. 2012
    ..We also discuss approaches to integrate parametric model fitting and tree reconstruction methods in coherent statistical analyses. The methods are tested on both real and simulated datasets of large outbreaks in structured populations...
  6. doi request reprint Closure of schools during an influenza pandemic
    Simon Cauchemez
    MRC Centre for Outbreak Analysis and Modelling, Department of Infectious Disease Epidemiology, Imperial College London, St Mary s Campus, London, UK
    Lancet Infect Dis 9:473-81. 2009
    ..Implications for the mitigation of the swine-origin influenza A H1N1 pandemic are also discussed...
  7. pmc Likelihood-based estimation of continuous-time epidemic models from time-series data: application to measles transmission in London
    Simon Cauchemez
    MRC Centre for Outbreak Analysis and Modelling, Department of Infectious Disease Epidemiology, Imperial College London, Norfolk Place, London W2 1PG, UK
    J R Soc Interface 5:885-97. 2008
    ..This indicates that simple models assuming homogenous mixing (even with age structure) of the type which are standard in mathematical epidemiology miss key features of epidemics in large populations...
  8. ncbi request reprint Estimating in real time the efficacy of measures to control emerging communicable diseases
    Simon Cauchemez
    Department of Infectious Disease Epidemiology, Faculty of Medicine, Imperial College London, London, United Kingdom
    Am J Epidemiol 164:591-7. 2006
    ..When control measures are efficacious (R = 0.5), this situation may be evidenced in 68% of the epidemics after 2 weeks and 92% of the epidemics after 3 weeks, with less than a 5% probability of a wrong conclusion...
  9. pmc Real-time estimates in early detection of SARS
    Simon Cauchemez
    Institut National de la Sante et de la Recherche Medicale, Paris, France
    Emerg Infect Dis 12:110-3. 2006
    ..Using simulation studies of SARS-like outbreaks, we have shown that the method may be used for early monitoring of the effect of control measures...
  10. pmc S. pneumoniae transmission according to inclusion in conjugate vaccines: Bayesian analysis of a longitudinal follow-up in schools
    Simon Cauchemez
    INSERM U707, Paris, France
    BMC Infect Dis 6:14. 2006
    ..The eventual extent of this replacement is however unknown and depends on serotype-specific carriage and transmission characteristics...
  11. pmc Factors associated with post-seasonal serological titer and risk factors for infection with the pandemic A/H1N1 virus in the French general population
    Nathanael Lapidus
    Institut National de la Sante et de la Recherche Medicale, UMR S 707, Paris, France
    PLoS ONE 8:e60127. 2013
    ..These findings will be interpreted in light of the longitudinal analyses of this ongoing cohort...
  12. pmc Patterns of uptake of HIV testing in sub-Saharan Africa in the pre-treatment era
    Ide Cremin
    Department of Infectious Disease Epidemiology, Imperial College London, London, UK
    Trop Med Int Health 17:e26-37. 2012
    ..To compare nationally representative trends in self-reported uptake of HIV testing and receipt of results in selected countries prior to treatment scale-up...
  13. pmc Transmission characteristics of the 2009 H1N1 influenza pandemic: comparison of 8 Southern hemisphere countries
    Lulla Opatowski
    MRC Centre for Outbreak Analysis and Modelling, Department of Infectious Disease Epidemiology, School of Public Health, Imperial College London, London, United Kingdom
    PLoS Pathog 7:e1002225. 2011
    ..Our analysis indicates that between-country-differences in transmission were at least partly due to differences in population demography...
  14. doi request reprint Estimating the impact of school closure on influenza transmission from Sentinel data
    Simon Cauchemez
    MRC Centre for Outbreak Analysis and Modelling, Department of Infectious Diseases Epidemiology, Imperial College London, Norfolk Place, London W2 1PG, UK
    Nature 452:750-4. 2008
    ..The impact of school closure would be reduced if it proved difficult to maintain low contact rates among children for a prolonged period...
  15. pmc Essential epidemiological mechanisms underpinning the transmission dynamics of seasonal influenza
    James Truscott
    MRC Centre for Outbreak Analysis and Modelling, Department of Infectious Disease Epidemiology, Imperial College, London W2 1PG, UK
    J R Soc Interface 9:304-12. 2012
    ..We discuss our findings in the context of other work fitting to seasonal influenza data...
  16. pmc Estimating the location and spatial extent of a covert anthrax release
    Judith Legrand
    MRC Centre for Outbreak Analysis and Modelling, Department of Infectious Diseases Epidemiology, Imperial College London, London, United Kingdom
    PLoS Comput Biol 5:e1000356. 2009
    ..In addition, estimates of release features could be used to parameterize more detailed models allowing the simulation of control strategies and intervention logistics...
  17. pmc Quantifying the transmissibility of human influenza and its seasonal variation in temperate regions
    James Truscott
    MRC Centre for Outbreak Analysis and Modelling, Dept of Infectious Disease Epidemiology, Imperial College London Imperial College London MRC Centre for Outbreak Analysis and Modelling, Department of Infectious Disease Epidemiology, Imperial College London MRC Centre for Outbreak Analysis and Modelling, Imperial College London MRC Centre for Outbreak Analysis and Modelling, Imperial College London and MRC Centre for Outbreak Analysis and Modelling, Imperial College
    PLoS Curr 1:RRN1125. 2009
    ....
  18. doi request reprint Middle East respiratory syndrome coronavirus: quantification of the extent of the epidemic, surveillance biases, and transmissibility
    Simon Cauchemez
    MRC Centre for Outbreak Analysis and Modelling, Department of Infectious Disease Epidemiology, Imperial College London, London, UK
    Lancet Infect Dis 14:50-6. 2014
    ..We analysed epidemiological and genetic data to assess the extent of human infection, the performance of case detection, and the transmission potential of MERS-CoV with and without control measures...
  19. ncbi request reprint Strategies for containing an emerging influenza pandemic in Southeast Asia
    Neil M Ferguson
    Department of Infectious Disease Epidemiology, Faculty of Medicine, Imperial College London, St Mary s Campus, Norfolk Place, London W2 1PG, UK
    Nature 437:209-14. 2005
    ..Policy effectiveness depends critically on how quickly clinical cases are diagnosed and the speed with which antiviral drugs can be distributed...
  20. pmc Pandemic potential of a strain of influenza A (H1N1): early findings
    Christophe Fraser
    MRC Centre for Outbreak Analysis and Modelling, Department of Infectious Disease Epidemiology, Imperial College London, Faculty of Medicine, Norfolk Place, London W2 1PG, UK
    Science 324:1557-61. 2009
    ..Transmissibility is therefore substantially higher than that of seasonal flu, and comparable with lower estimates of R0 obtained from previous influenza pandemics...
  21. pmc Serial intervals and the temporal distribution of secondary infections within households of 2009 pandemic influenza A (H1N1): implications for influenza control recommendations
    Christl A Donnelly
    Medical Research Council Centre for Outbreak Analysis and Modelling, Department of Infectious Disease Epidemiology, Imperial College London, London, United Kingdom
    Clin Infect Dis 52:S123-30. 2011
    ..These results will inform future recommendations on duration of isolation of individuals with ILI...
  22. pmc A Bayesian approach to quantifying the effects of mass poultry vaccination upon the spatial and temporal dynamics of H5N1 in Northern Vietnam
    Patrick G T Walker
    MRC Centre for Outbreak Analysis Modelling, Department of Infectious Disease Epidemiology, Imperial College London, London, United Kingdom
    PLoS Comput Biol 6:e1000683. 2010
    ....
  23. pmc Increased transmissibility explains the third wave of infection by the 2009 H1N1 pandemic virus in England
    Ilaria Dorigatti
    Medical Research Council Centre for Outbreak Analysis and Modelling, Department of Infectious Disease Epidemiology, School of Public Health, Imperial College London, Norfolk Place, London W2 1PG, United Kingdom
    Proc Natl Acad Sci U S A 110:13422-7. 2013
    ..Finally, our analysis suggests that a pandemic vaccination campaign targeting adults and school-age children could have mitigated or prevented the third wave even at moderate levels of coverage. ..
  24. doi request reprint Time lines of infection and disease in human influenza: a review of volunteer challenge studies
    Fabrice Carrat
    Universite Pierre et Marie Curie PARIS6, UMR S 707, Paris, France
    Am J Epidemiol 167:775-85. 2008
    ....
  25. pmc Outbreaks of H5N1 in poultry in Thailand: the relative role of poultry production types in sustaining transmission and the impact of active surveillance in control
    Patrick Walker
    MRC Centre for Outbreak Analysis and Modelling, Department of Infectious Disease Epidemiology, Imperial College London, London, UK
    J R Soc Interface 9:1836-45. 2012
    ..We also found that periods of active surveillance substantially improved the rate of outbreak detection...
  26. doi request reprint Bayesian reconstruction of disease outbreaks by combining epidemiologic and genomic data
    Thibaut Jombart
    MRC Centre for Outbreak Analysis and Modelling, Department of Infectious Disease Epidemiology, School of Public Health, Imperial College London, London, United Kingdom
    PLoS Comput Biol 10:e1003457. 2014
    ..Because of its generality, we believe this method will become a tool of choice for the analysis of densely sampled disease outbreaks, and will form a rigorous framework for subsequent methodological developments. ..
  27. pmc Integrative study of pandemic A/H1N1 influenza infections: design and methods of the CoPanFlu-France cohort
    Nathanael Lapidus
    Institut National de la Sante et de la Recherche Medicale, UMR S 707, F 75012 Paris, France
    BMC Public Health 12:417. 2012
    ....
  28. pmc Patterns of self-reported behaviour change associated with receiving voluntary counselling and testing in a longitudinal study from Manicaland, Zimbabwe
    Ide Cremin
    Department of Infectious Disease Epidemiology, Imperial College London, St Marys Campus, Norfolk Place, Paddington, London, W2 1PG, UK
    AIDS Behav 14:708-15. 2010
    ..This study suggests that, among women, particularly those who are infected, behavioural risk reduction does occur following VCT...
  29. pmc "Prepandemic" immunization for novel influenza viruses, "swine flu" vaccine, Guillain-Barré syndrome, and the detection of rare severe adverse events
    David Evans
    The Wellcome Trust, London, United Kingdom
    J Infect Dis 200:321-8. 2009
    ..Following this, we examine available safety data from clinical trials of H5N1 vaccines and briefly discuss how vaccine safety could be monitored in a postmarketing surveillance setting...
  30. pmc Rabies and canine distemper virus epidemics in the red fox population of northern Italy (2006-2010)
    Pierre Nouvellet
    Medical Research Council Centre for Outbreak Analysis and Modelling, Department of Infectious Disease Epidemiology, Imperial College London, London, United Kingdom
    PLoS ONE 8:e61588. 2013
    ..This was confirmed by field observations. Finally we discuss the implications for the eco-epidemiological dynamics of both epidemics in relation to control measures...
  31. doi request reprint A new approach to characterising infectious disease transmission dynamics from sentinel surveillance: application to the Italian 2009-2010 A/H1N1 influenza pandemic
    Ilaria Dorigatti
    MRC Centre for Outbreak Analysis and Modelling, Department of Infectious Disease Epidemiology, Imperial College London, Faculty of Medicine, Norfolk Place, London, UK
    Epidemics 4:9-21. 2012
    ..The multiplying factors are doubled using the Baseline model. Overall, the estimated attack rate was about 16% according to the Baseline model and 30% according to the Susceptibility and Immunity models...
  32. pmc Spatial dynamics of the 1918 influenza pandemic in England, Wales and the United States
    Rosalind M Eggo
    MRC Centre for Outbreak Analysis and Modelling, Imperial College London, Department of Infectious Disease Epidemiology, St Mary s Campus, London W2 1PG, UK
    J R Soc Interface 8:233-43. 2011
    ..We find that parameters estimated from the England and Wales dataset can be applied to the US data with no likelihood penalty...
  33. pmc Risk factors of influenza transmission in households
    Cecile Viboud
    Epidemiology and Information Sciences, Universite Pierre et Marie Curie, Paris
    Br J Gen Pract 54:684-9. 2004
    ..Influenza transmission in households is a subject of renewed interest, as the vaccination of children is currently under debate and antiviral treatments have been approved for prophylactic use...