Membres – Marc Brisson

Marc Brisson

safran — Wed, 23 Sep 2020 18:31:16 +0000

Dr. Marc Brisson is full professor at Laval University where he leads the Research Group in Mathematical Modeling and Health Economics of Infectious Diseases. His research aims at developing mathematical models that predict the effectiveness and cost-effectiveness of interventions against infectious diseases to help policy decision-making. His current research mainly focuses on HPV vaccination, cervical cancer prevention and respiratory infectious diseases. Dr. Brisson has produced over 110 peer reviewed journal articles (including high impact journals such as The Lancet and The Lancet Family, JNCI, BMJ, and Annals of Internal Medicine), and made over 115 presentations at conferences, external seminars and workshops (over 60 as invited speaker). He has consulted for the World Health Organization (WHO), the Centers for Disease Control and Prevention (CDC), the Canadian Partnership Against Cancer (CPAC), the Public Health Agency of Canada (PHAC) and the Canadian Immunization Committee (CIC). He has a BSc in Actuarial Science (1992-1996), a certificate in Statistics (1996) and an MSc in Epidemiology (1996-2001) from Laval University in Quebec City, and a PhD in Health Economics (1999-2004) from City University in London, England.

List of papers and citations

Mélanie Drolet

safran — Wed, 30 Sep 2020 14:33:07 +0000

Mélanie has a BSc in health sciences (physical therapy), an MSc and a PhD in epidemiology from Laval University. Her research focuses on the epidemiology and prevention of infectious diseases and cancer, as well as the evaluation of the population-level impact of vaccination programs.

During her PhD, Mélanie was interested in the psycho-social impact of breast cancer. Then, she coordinated various projects at the INSPQ in order to assess the relevance and feasibility of implementing a screening program for colorectal cancer in Quebec. In 2008, she joined our team to cement our expertise in epidemiology. With her knowledge in epidemiology, she ensures that our models validly reflect the natural history of diseases as well as the effect of the different interventions evaluated. In parallel, she develops and oversees various projects aiming to estimate the burden of infectious diseases and the impact of the interventions to prevent these diseases; these data being essential to our mathematical models. Melanie has published over 70 articles in scientific journals; she teaches epidemiology at the Faculty of medicine.

Publications: Google Scholar, PubMed

Jean-François Laprise

safran — Wed, 30 Sep 2020 14:34:02 +0000

Background: Dr. Laprise obtained his PhD degree in theoretical and computational physics from Laval University in 2010. His PhD research focused on the mathematical/computational modelling of complex dynamical systems. Following his PhD degree, he decided to orient his research in infectious diseases modelling for two main reasons. First, mathematical modelling of interventions contributes to public health in a tangible way by providing crucial evidence for decision making. Secondly, transmission dynamics are complex; modelling and understanding them represent an important challenge for research.

Current projects: Dr. Laprise is a senior research associate in mathematical modelling of the epidemiology of the human papillomavirus (HPV) and associated diseases. His current research work focuses on estimating HPV vaccines effectiveness and cost-effectiveness using transmission-dynamic modelling.

Publications : Google Scholar, PubMed

Guillaume Gingras

safran — Wed, 30 Sep 2020 14:39:10 +0000

Marianne Gratton

Jean-Francois Laprise — Tue, 30 Aug 2022 16:27:20 +0000

Marianne obtained her MSc in theoretical physics at Laval University in 2022. Her research involved analytical and numerical modelling of axion-like particles (one of the hypothetical constituents of dark matter) in certain types of stars. She now wants to use her problem solving and programming experience to study more concrete phenomena such as the complex interactions involved in infectious disease modelling and thus have a more direct impact on society and its wellbeing.

Éléonore Chamberland

Jean-Francois Laprise — Tue, 18 Oct 2022 12:41:40 +0000

Éléonore completed a master’s degree in applied mathematics at Laval University in 2023. Her research focused on the creation and analysis of a dynamic mathematical model of the development of Alzheimer’s disease in the brain. More specifically, the model allows to study the role of amyloid beta accumulation, tau protein hyperphosphorylation, and inflammation on neuronal loss. Éléonore is interested in mathematical modeling of biological and populational phenomena, such as epidemics, through dynamic systems, and in the treatment of diseases. She joined our team in order to apply her skills in the use and development of the more complex models required for modeling infectious diseases, as well as to acquire new knowledge and skills.

Johan Mbiga

Jean-Francois Laprise — Thu, 19 Jan 2023 21:41:33 +0000

Background: Johan Mbiga graduated with a Master’s degree in Supply Chain Management in 2018 in France. He has experience in supply chain planning and in consulting in public health supply chain design. This latest opportunity led him to build a strong interest for data analytics and decision making in the health sector. He is currently candidate for the Msc in epidemiology at Laval University with the aim of furthering his knowledge in these areas.

Current projects: His thesis project pertains to the use of mathematical modeling to help inform decision-makers on the potential evolution of the Covid-19 pandemic under different vaccination scenarios in low- and middle-income countries.

Sullivan Evain

Jean-Francois Laprise — Fri, 23 Sep 2022 19:04:26 +0000

Andrée-Anne Sabourin

Jean-Francois Laprise — Tue, 17 May 2022 13:51:58 +0000

Phornnaphat Chertchinnapa

Jean-Francois Laprise — Wed, 12 Nov 2025 20:33:37 +0000

Anne Sophie Moisan

Jean-Francois Laprise — Wed, 27 Aug 2025 19:13:31 +0000

Myrto Mondor

safran — Wed, 30 Sep 2020 14:43:22 +0000

Caty Blanchette

safran — Wed, 30 Sep 2020 14:44:03 +0000

Caty Blanchette is a statistician at the research unit since 1996. She holds a B.Sc. in mathematics (with a specialization in statistics) from the Université de Sherbrooke. She then pursued a Masters in statistics at the Université Laval. Caty joined the Research Chair in 2008 and has carried out statistical analyses on various projects seeking to estimate how infectious diseases (shingles and HPV-related diseases) impact the quality of life of affected individuals.

Caty has contributed to the statistical analysis of dozens of articles published in scientific journals. She teaches the course entitled ‘Bases de données épidémiologiques : création, manipulation, analyse’ (Epidemiological databases: creation, handling, and analysis) at the Faculty of Medecine.