06 Infection Control during Mass Gathering Events

Mass gatherings (MG) have the potential to facilitate global spread of infectious pathogens. Individuals from disease-free areas may acquire the pathogen while at the mass gathering site, which in turn could lead to its translocation in the originally disease-free zones when individuals return home.

  • This project aims to develop model platforms, simulations and analyses, using Hajj and Olympics as case studies, for the need of immunization to ensure mass gathering events held with minimal COVID-19 infection risk. This project involve collaboration with Sanofi Pasteur for its expertise in Health Economics, Regional Disease Epidemiology.

Leads: Jianhong Wu (York University, Toronto), Edward Thommes (Sanofi)

Team Members: Julien Arino, Ali Asgary, Lydia Bourouiba, Dongmei Chen, Thomas Hurd, Jude Kong, Felicia Magpantay, Ashleigh Tuite, Xiaoqiang Zhao and Sanofi mass gathering infection modeling team

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06 Infection Control during Mass Gathering Events
Ali Asgary
Julien Arino
Dongmei Chen
Thomas Hurd - In Memoriam
Jude Kong
Felicia Magpantay
Ashleigh Tuite
Xiaoqiang Zhao
Edward Thommes
Jianhong Wu
Covid-19
Health economics
Pathogens
230208 Martin Grunnill
01 Contact Mixing and Optimal Decision Making
02 Integrative Modelling
03 Risk Evaluation and Early Detection
04 Robust Agent-Based and Network Infectious Disease Models
05 Mobility Network and Patch Models
07 Antimicrobial Resistance
08 Contact tracing
09 Joint Estimation of Parameters in Outbreak Models
10 Dynamic Bifurcation and Scenario Analyses
11 Immune response, immune memory and cross-immunity
12 Pathogen Contamination and Spread Control during Food-Processing
13 Phylodynamic Modelling of Infectious Diseases
CIHR Variants of Concern Study
EOC Modeling Simulations and Exercises
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