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Iain Moyles
Person
1
#679799
Assistant Professor in the Department of Mathematics and Statistics at York University.
Research interests
Mathematical Modelling,
Industrial Mathematics,
Model Reduction,
Scientific Computing
CONTEXT
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EIDM »
EIDM
EIDM ☜The Emerging Infectious Diseases Modelling Initiative (EIDM) – by the Public Health Agency of Canada and NSERC – aims to establish multi-disciplinary network(s) of specialists across the country in modelling infectious diseases to be applied to public needs associated with emerging infectious diseases and pandemics such as COVID-19. [1]☜F1CEB7
▲
People »
People
People☜Learn more about the participants in the EIDM network.☜D3ABAB
■
Iain Moyles
Iain Moyles☜Assistant Professor in the Department of Mathematics and Statistics at York University. ☜D3ABAB
►
OMNI – People »
OMNI – People
OMNI – People☜Our English and French acronyms of the network, One Health Modelling Network for Emerging Infections (OMNI)/RÉseau UNe seule santé sur la modélisation des InfectionS (RÉUNIS) symbolize universality and the bringing together of people and ideas. This is precisely what we have done, having amassed an amazing network of interdisciplinary people with a commitment to a One Health approach to stopping emerging infectious diseases (EIDs) at all levels.☜FFFACD
►
York University »
York University
York University☜☜FFFACD
◄
From process to structure of early warning signals »
From process to structure of early warning signals
From process to structure of early warning signals☜This project aims to study the structure of early warning signals (EWS); it is based on mechanistic models for epidemic and social processes (e.g., disease dynamics, pathogen shedding, doctor’s visits, use of social media, contact network). Model simulations will allow us to study the expected structure of EWS and to quantify the contribution of various processes and network topology to this structure.☜FFFACD
◄
Evolution of the virus: variants, transmission bottlenecks and fitness »
Evolution of the virus: variants, transmission bottlenecks and fitness
Evolution of the virus: variants, transmission bottlenecks and fitness☜This project aims to develop models of virus evolution in-host, and extend our mathematical analysis to virus transmission bottlenecks, to determine probabilities of mutant virus transmission. We will quantify probabilities of virus evolution and transmission in-host and between hosts, given host heterogeneities in infection and immune system characteristics, and different characteristics of virus mutants that increase virus ‘fitness’.☜FFFACD
◄
Mathematical modelling of human response behaviour during pandemics »
Mathematical modelling of human response behaviour during pandemics
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.☜FFFACD
◄
2022/09/28 Iain Moyles »
2022/09/28 Iain Moyles
2022/09/28 Iain Moyles☜From population spread to cellular immunity: A mathematical modellers journey through COVID-19☜FFFACD
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Iain Moyles - Home Page
Cited by:
David Price
7:03 AM 15 October 2022 GMT
URL:
https://www.yorku.ca/imoyles/
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Entry date (GMT):
6/4/2021 5:19:00 PM
Last edit date (GMT):
10/17/2022 4:37:00 PM
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