Statistical and Mathematical Modeling in Biological Applications
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The seminar series Statistical and Mathematical Modeling in Biological Applications (SaMMBA) features monthly lectures and discussions with leading modelers in biological sciences. Presentations are in English or French and target an interdisciplinary audience. Seminars are held on the campus of Institut Pasteur. Access is free. However, to enter the campus, one needs a badge that is obtained at the main gate in exchange of a piece of ID (passport, citizen card or driver licence).
For additional information about the series contact the organizers: Pierre-Yves Böelle, Romulus Breban, Vittoria Colizza, Judith Legrand, Virginie Supervie, Laura Temime and Elisabeta Vergu. To arrange to meet with an invited speaker, contact the host of that speaker.
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Next Lecture
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Chris BAUCH Abstract: Mortality due to vaccine-preventable infectious diseases is declining worldwide, thanks to ever-expanding vaccine coverage, especially in the world’s poorest countries. However, as infectious diseases become rare and our memory of them fades, vaccine “scares” and other forms of vaccine exemption are occurring with increasing frequency. In some cases, exemption is rivaling or even replacing accessibility as the primary barrier to ensuring high vaccine coverage and thus global eradication. Mathematical models of infectious disease transmission have traditionally ignored human vaccinating behaviour, but to address the problem of vaccine exemption, it is necessary to incorporate human behaviour into the models. “Behaviour-incidence models” are mathematical models that address this by combining a disease incidence model with a vaccinating behaviour model. The literature on such models has grown significantly in the past decade, but important challenges remain: existing theory is often inconsistent with real-world vaccinating behaviour, and the models are often not validated against empirical data. In this talk I will give a broad overview of some of my research over the past 10 years dedicated to addressing these challenges. The goals of this research are: to develop the theory of coupled behaviour-incidence dynamics, to better understand the mechanisms behind these coupled dynamics, to empirically validate behaviour-incidence models, and eventually to harness such models to aid vaccination policies in both rich and poor countries. Methodologies include mathematical models, network simulations, and game theory. Infectious diseases studied include measles, whooping cough, and smallpox. Contact: Romulus BREBAN |
Full Schedule 2012-2013
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Cost-effectiveness of diacetylmorphine versus methadone for chronic opioid dependence refractory to treatment |
Wed, Sep 12th, 2012
12 noon -1 pm |
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Epidémie cachée du VIH : Que peut-on apprendre des modèles |
Tue, Oct 16th, 2012
12 noon -1 pm |
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Adaptive constraints at the genomic and genic level in E. coli |
Tue, Nov 6th, 2012
12 noon -1 pm |
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Trends of pneumococcal meningitis: unmasking the role of winter viruses and antimicrobial drugs |
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On the use of mechanistic models for HIV clinical trials |
Tue, Jan 8th, 2013
12 noon -1 pm Room Jean-Paul Aubert |
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Modélisation des systèmes biologiques |
Tue, Feb 5th, 2013
12 noon -1 pm Room Jean-Paul Aubert |
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Challenges for statistical modelling during the STEC/HUS outbreak in Germany, 2011 |
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HIV Transmission among Men who have Sex with Men (MSM) in the United States and Peru: Insights from Dynamic Demographic Network Models |
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Climate forcing and the population dynamics of infectious diseases in changing human landscapes |
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Vaccine scares and the interplay between disease dynamics and strategic individual vaccinating choices |
