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, Stéphanie 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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06 Infection Control during Mass Gathering Events »06 Infection Control during Mass Gathering Events
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One Health Modelling for Emerging Infectious Diseases – Fall 2022 »One Health Modelling for Emerging Infectious Diseases – Fall 2022
One Health Modelling for Emerging Infectious Diseases – Winter 2023 »One Health Modelling for Emerging Infectious Diseases – Winter 2023
Lecture 8: Stochastic epidemiological models »Lecture 8: Stochastic epidemiological models
Markov chain »Markov chain
Lecture 9: Epidemics spreading in space and time »Lecture 9: Epidemics spreading in space and time
Lecture 10: Biological Introductions »Lecture 10: Biological Introductions
Lecture 11: Basic steps in an analysis of an epidemiological model »Lecture 11: Basic steps in an analysis of an epidemiological model
Lecture 12: Introduction to R. Collecting data »Lecture 12: Introduction to R. Collecting data
Julien Lecture 4: Data Assimilation »Julien Lecture 4: Data Assimilation
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