ACCDMi Symposium
Details
Date: Wednesday December 10
Location: A-1043 (Memorial University) and online (email ahurford@mun.ca for the link)
Times refer to Newfoundland (which is a time zone that is 30 mins offset from most places).
Schedule
| Time | Speaker | Title |
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| 9.25- | Amy Hurford | Introduction to ACCDMi |
| 9.40- | Carsten Kirkeby | Avian Influenza Epidemiology in Denmark and Europe: Dynamics, Risk and Early Warning |
| 9.55- | Joshua Mack | Estimating the Annual Number of Humans Infected with Highly Pathogenic Avian Influenza Viruses from Historical Pandemic Rates |
| 10.10- | Wentao Meng | Optimal control in a multi-structured model with imperfect vaccination |
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| 10.25- | 5 min break | |
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| 10.30- | Dandan Hu | Dynamical analysis in a nonlocal delayed reaction–diffusion tumor model with therapy |
| 10.45- | Sumit Jyoti | Harnessing publicly available salmon data through epidemiological and statistical tools |
| 11.00- | Abdelmonem Mohamed | Control and mitigation of infectious salmon anaemia virus in farmed Atlantic salmon: results from a scoping review |
| 11.15- | Ahsan Raquib | Space–time clustering and multiple-membership survival analysis of time to first detection of infectious salmon anemia virus in Atlantic salmon farms |
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| 11.30- | 5 min break | |
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| 11.35- | Thu Nguyen | Sparse Bayesian Random Feature Models for Delay-Embedded Time Series in Epidemiology |
| 11.50- | Jingyu Li | Computationally Efficient Bayesian Inference for Change Points Detection in Infectious Disease Model |
| 12.05- | Michael WZ Li | The need to continue what we started – Evergreen problems post COVID-19 pandemic |
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| 12.20- | 10 min break | |
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| 12.30- | Keynote | A separate link was provided over email |
Keynote
Modelling to support public health decisions
Nicholas Ogden, 12.30-1.30pm
The COVID-19 pandemic served as a catalyst for the development and use of infectious disease modelling to support public health decisions in Canada. In a post-pandemic environment, modelling has now become established as a key public health function. In this talk I will discuss the range of uses and applications for modelling in public health decision-making, as well as considerations of model complexity, realism, uncertainty, communication, and skillset and data needs.