Effect of flight connectivity on the introduction and evolution of the COVID-19 outbreak in Canadian provinces and territories.

Background: The COVID-19 pandemic has challenged health services and governments in Canada and around the world. Our research aims to evaluate the effect of domestic and international air travel patterns on the COVID-19 pandemic in Canadian provinces and territories.

Methods: Air travel data were obtained through licensed access to the 'BlueDot Intelligence Platform', BlueDot Inc.

Toward Standardizing a Lexicon of Infectious Disease Modeling Terms.

Disease modeling is increasingly being used to evaluate the effect of health intervention strategies, particularly for infectious diseases. However, the utility and application of such models are hampered by the inconsistent use of infectious disease modeling terms between and within disciplines. We sought to standardize the lexicon of infectious disease modeling terms and develop a glossary of terms commonly used in describing models' assumptions, parameters, variables, and outcomes.

Improving public health policy through infection transmission modelling: Guidelines for creating a Community of Practice.

Background: Despite significant research efforts in Canada, real application of modelling in public health decision making and practice has not yet met its full potential. There is still room to better address the diversity of the Canadian population and ensure that research outcomes are translated for use within their relevant contexts.

Objectives: To strengthen connections to public health practice and to broaden its scope, the Pandemic Influenza Outbreak Research Modelling team partnered with the National Collaborating Centre for Infectious Diseases to hold a national workshop.