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.
INCEPTION – Institut Convergence for the study of Emergence of Pathology Through Individuals and Populations
IINCEPTION Goal The Inception’s goal is to develop a core structure to mobilize data resources, numerical sciences, and fundamental experimental biology in a range of health issues. Inception program uses Integrative Biology, Social Science […]
300 to 400 million cases of dengue fever occur each year worldwide. Spreading rapidly, more than 40% of the world’s population is now at risk of contracting dengue This transversal program brings together talents […]
LabEx IBEID – Integrative Biology of Emerging Infectious Diseases
Presentation The aim of the Integrative Biology of Emerging Infectious Diseases (IBEID) project, coordinated by Professors Philippe Sansonetti and Pascale Cossart, is to develop a structure to anticipate and tackle emerging infectious diseases (EIDs). […]
Assessing the threat posed by zoonotic viruses like MERS-CoV, Nipah, Yellow Fever or plague
Zoonotic viruses are viruses that have an animal reservoir but may also infect humans. The 2009 A(H1N1)pdm09 influenza pandemic, the SARS epidemic in 2003, the recent emergence of a novel coronavirus in the Middle […]
Analysis and modelling to support decision making during epidemics
The Mathematical Modelling of Infectious Diseases Unit works closely with public health agencies in France and abroad to provide modelling support during epidemics so that our assessments can contribute to evidence-based decision making and […]
Statistical and mathematical methods to characterize disease transmission from incomplete epidemiological data
To design effective ways to mitigate the spread of a pathogen in a population, it is important to first have a good understanding of the transmission characteristics of the pathogen as well as the […]
Developing a One Health perspective: the case of Nipah virus
Nipah virus (NiV) is a bat-borne paramyxovirus found throughout South and South East Asia. With a case fatality ratio of >70% and no available treatment or vaccines, NiV has been identified by the […]
Optimizing the interpretation of serological data
When individuals get infected by a pathogens, they will develop antibodies against that pathogen that will continue to circulate in their blood. By using assays that can detect these antibodies, we can develop an […]
Use of sequences to identify drivers of pathogen spread
In order to understand the spread of infectious diseases, we are often interested in the transmission relationship between pairs of cases. The use of pathogen sequences has revolutionized our ability to characterize the relationship […]
Improved understanding of patterns of pathogen infection risk
There have been a number of recent efforts to build global maps of infection risk for different pathogens. These maps typically use the results of regressions in well-characterized settings to quantify the association between […]
Emergency response to global threats of emerging and re-emerging pathogens
With over 125 years’ experience with infectious diseases, the Institut Pasteur and the Institut Pasteur International Network (IPIN), which is composed of 33 research institutes in 26 countries and five continents, are ideally positioned […]
2019Past and future spread of the arbovirus vectors Aedes aegypti and Aedes albopictus, Nat Microbiol 2019 Mar;.
2019How Modelling Can Enhance the Analysis of Imperfect Epidemic Data, Trends Parasitol. 2019 Feb;.
2019Indirect protection from vaccinating children against influenza in households, Nat Commun 2019 01;10(1):106.
2019Reassessing Serosurvey-Based Estimates of the Symptomatic Proportion of Zika Virus Infections, Am. J. Epidemiol. 2019 Jan;188(1):206-213.
2018Improving the provision of rabies post-exposure prophylaxis, Lancet Infect Dis 2019 Jan;19(1):12-13.
2018Humoral and cellular immune correlates of protection against bubonic plague by a live Yersinia pseudotuberculosis vaccine, Vaccine 2018 Nov;.
2018Intradermal rabies post-exposure prophylaxis can be abridged with no measurable impact on clinical outcome in Cambodia, 2003-2014, Vaccine 2018 Nov;.
2018Reconstruction and prediction of viral disease epidemics, Epidemiol. Infect. 2018 Nov;:1-7.
2018Projecting the end of the Zika virus epidemic in Latin America: a modelling analysis, BMC Med 2018 10;16(1):180.
2018Revealing Measles Outbreak Risk With a Nested Immunoglobulin G Serosurvey in Madagascar, Am. J. Epidemiol. 2018 Oct;187(10):2219-2226.
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