Simon Cauchemez joined Institut Pasteur in 2013 to head Mathematical Modelling of Infectious Diseases Unit. The main research objective of his unit is to develop state-of-the-art statistical and mathematical methods to address these challenges, with the aim to increase the understanding of how pathogens spread in human populations as well as the impact of interventions, to support policy making and optimize control strategies. His approach is highly multidisciplinary, looking at infectious diseases through multiple perspectives (statistics, modelling, epidemiology, surveillance, Public Health, policy making, microbiology), multiple scales and multiple data streams. Before joining Institut Pasteur, Simon Cauchemez was working in the Department of Infectious Disease Epidemiology at Imperial College London.
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About
Courses
Modeling of infectious diseases
This one-week course offers a comprehensive introduction to the mathematical modeling of infectious diseases, tailored for students and professionals in science, medicine, and public health. For more information and program, please, visit the course […]
2025-04-07 09:00:00
2025-04-11 18:00:00
Europe/Paris
Modeling of infectious diseases
This one-week course offers a comprehensive introduction to the mathematical modeling of infectious diseases, tailored for students and professionals in science, medicine, and public health. For more information and program, please, visit the course […]
Institut Pasteur, Rue du Docteur Roux, Paris, France
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2024Accuracy of Xpert and alternative sampling methods to diagnose childhood pulmonary tuberculosis, a prospective cohort study., Clin Microbiol Infect 2024 Nov; (): .
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2024Effect of nirsevimab on hospitalisations for respiratory syncytial virus bronchiolitis in France, 2023-24: a modelling study., Lancet Child Adolesc Health 2024 Aug; (): .
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2024Addressing current limitations of household transmission studies by collecting contact data., Am J Epidemiol 2024 Jun; (): .
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2024Indian Ocean temperature anomalies predict long-term global dengue trends., Science 2024 May; 384(6696): 639-646.
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2023Comparing the Performance of Three Models Incorporating Weather Data to Forecast Dengue Epidemics in Reunion Island, 2018-2019., J Infect Dis 2023 Nov; (): .
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2023Impact of vaccination against severe COVID-19 in the French population aged 50 years and above: a retrospective population-based study., BMC Med 2023 Nov; 21(1): 426.
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2023Two-dose measles vaccine effectiveness remains high over time: A French observational study, 2017-2019., Vaccine 2023 Aug; (): .
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2023Estimated protection against COVID-19 based on predicted neutralisation titres from multiple antibody measurements in a longitudinal cohort, France, April 2020 to November 2021., Euro Surveill 2023 Jun; 28(25): .
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2023SARS-CoV-2 incubation period across variants of concern, individual factors, and circumstances of infection in France: a case series analysis from the ComCor study., Lancet Microbe 2023 Apr; (): .
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2023Modelling the end of a Zero-COVID strategy using nirmatrelvir/ritonavir, vaccination and NPIs in Wallis and Futuna., Lancet Reg Health West Pac 2023 Jan; 30(): 100634.
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