Mathematical modelling of human response behaviour during pandemics
Mathematical modelling of human response behaviour, opinion dynamics, and social influence during pandemics. COVID-19 showed that understanding human response to intervention is essential in mitigating disease spread and forming policy. We are particularly interested in understanding how opinion influence affects vaccine and NPI hesitancy. This project aims to incorporate a broader understanding of intervention and control, which embodies the entire theme.
  • Co-Project Investigators: Iain Moyles (York University) and Rebecca Tyson (University of British Columbia).
Networks »Networks
OMNI – Research »OMNI – Research
04 Intervention and Control »04 Intervention and Control
Mathematical modelling of human response behaviour during pandemics
Iain Moyles »Iain Moyles
Rebecca Tyson »Rebecca Tyson
Nonpharmaceutical Interventions (NPIs) »Nonpharmaceutical Interventions (NPIs)
Covid-19 »Covid-19
23/11/15 Rebecca Tyson »23/11/15 Rebecca Tyson
23/11/16 Brian Gaas »23/11/16 Brian Gaas
23/11/16 Madeline Ward »23/11/16 Madeline Ward
23/11/16 Rob Deardon »23/11/16 Rob Deardon
2022/04/05 Jorge Velasco-Hernandez »2022/04/05 Jorge Velasco-Hernandez
230406 Incorporating Fear (Un)learning Mechanisms in IDM »230406 Incorporating Fear (Un)learning Mechanisms in IDM
221116 Rebecca Tyson »221116 Rebecca Tyson
240214 William Ruth »240214 William Ruth
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