Julien Arino
Professor and Faculty of Science Research Chair in Fundamental Science with the Department of Mathematics at the University of Manitoba.

  • My research deals primarily with population movement in epidemiology and ecology, with particular interest on the spatio-temporal spread of infectious diseases. In this context, I am interested in two main aspects: the relationship between mobility modalities and the fast global spread of infectious pathogens, as well as the effect of interconnections of public health systems with a variety of health practices. I use mathematical modelling to consider the risk of importation of disease to various public health entities. I have also dabbled with other mathematical biology problems.
  • As part of my work, I have become more and more interested in the use of data in my models, hence my membership in VADA and the Data Science NEXUS.
  • From 22 to 26 May 2023, Kang-Ling Liao, StĂ©phanie Portet and I are co-organising the sixth edition of the Computational and Mathematical Population Dynamics conference (CMPD6) in Winnipeg; see details here.

Tags: Mathematical epidemiology, Metapopulations, Population dynamics, Transportation

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Julien Arino
CANMOD – People Â»CANMOD – People
MfPH – People Â»MfPH – People
OMNI – People Â»OMNI – People
University of Manitoba Â»University of Manitoba
Efficacy of quarantine Â»Efficacy of quarantine
Mathematical epidemiology in a data-rich world Â»Mathematical epidemiology in a data-rich world
Public Health Agency of Canada Â»Public Health Agency of Canada
Pierre-Louis Institute for Epidemiology and Public Health Â»Pierre-Louis Institute for Epidemiology and Public Health
05 Mobility Network and Patch Models Â»05 Mobility Network and Patch Models
MfPH – Scientific Advisory Committee Â»MfPH – Scientific Advisory Committee
23/08/19 AARMS-EIDM Summer School on Modelling Infectious Diseases Â»23/08/19 AARMS-EIDM Summer School on Modelling Infectious Diseases
Pacific Institute for Mathematical Sciences (PIMS) Â»Pacific Institute for Mathematical Sciences (PIMS)
Small Jurisdictions Â»Small Jurisdictions
Credibility of various sources of data for use in models Â»Credibility of various sources of data for use in models
Inventory of data sources Â»Inventory of data sources
Systematic review and repository of available models Â»Systematic review and repository of available models
Vaccination and antimicrobials, from the individual to the population Â»Vaccination and antimicrobials, from the individual to the population
06 Infection Control during Mass Gathering Events Â»06 Infection Control during Mass Gathering Events
10 Dynamic Bifurcation and Scenario Analyses Â»10 Dynamic Bifurcation and Scenario Analyses
2021/09/21 Julien Arino Â»2021/09/21 Julien Arino
Ecology Â»Ecology
Mobility Â»Mobility
Spatio-temporal analysis Â»Spatio-temporal analysis
Covid-19 Â»Covid-19
Pathogens Â»Pathogens
Nonpharmaceutical Interventions (NPIs) Â»Nonpharmaceutical Interventions (NPIs)
23/11/16 Julien Arino Â»23/11/16 Julien Arino
mpox Â»mpox
Neisseria meningitidis Â»Neisseria meningitidis
HIV Â»HIV
Zika Â»Zika
Dengue Â»Dengue
Chikungunya Â»Chikungunya
One Health Modelling for Emerging Infectious Diseases – Fall 2022 Â»One Health Modelling for Emerging Infectious Diseases – Fall 2022
One Health Modelling for Emerging Infectious Diseases – Winter 2023 Â»One Health Modelling for Emerging Infectious Diseases – Winter 2023
Lecture 8: Stochastic epidemiological models Â»Lecture 8: Stochastic epidemiological models
Markov chain Â»Markov chain
Lecture 9: Epidemics spreading in space and time Â»Lecture 9: Epidemics spreading in space and time
Lecture 10: Biological Introductions Â»Lecture 10: Biological Introductions
Lecture 11: Basic steps in an analysis of an epidemiological model Â»Lecture 11: Basic steps in an analysis of an epidemiological model
Lecture 12: Introduction to R. Collecting data Â»Lecture 12: Introduction to R. Collecting data
Julien Lecture 4: Data Assimilation Â»Julien Lecture 4: Data Assimilation
231108 Julien Arino Â»231108 Julien Arino
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