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Steve Walker Person1 #715290 Steve is the CANMOD Director of Data Science and a postdoctoral fellow in the Department of Mathematics and Statistics at McMaster University. | - With 20 years of experience in statistical software, I have worked as a data scientist, product manager, and researcher across diverse fields, including credit risk, insurance, fisheries, and epidemiology.
- Currently, I develop software for efficiently calibrating general compartmental models and curate historical epidemiological data.
- I also supervise trainees at all levels, from undergraduates to postdocs, who are engaged in data science and research software development projects
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+Citations (3) - CitationsAjouter une citationList by: CiterankMapLink[3] Exploring the dynamics of the 2022 mpox outbreak in Canada
En citant: Rachael M. Milwid, Michael Li, Aamir Fazil, Mathieu Maheu-Giroux, Carla M. Doyle, Yiqing Xia, Joseph Cox, Daniel Grace, Milada Dvorakova, Steven C. Walker, Sharmistha Mishra, Nicholas H. Ogden Publication date: 6 December 2023 Publication info: Journal of Medical Virology, Volume 95, Issue 12 e29256 Cité par: David Price 8:26 PM 6 December 2023 GMT
Citerank: (9) 679844Mathieu Maheu-GirouxCanada Research Chair (Tier 2) in Population Health Modeling and Associate Professor, McGill University.10019D3ABAB, 679880Sharmistha MishraSharmistha Mishra is an infectious disease physician and mathematical modeler and holds a Tier 2 Canadian Research Chair in Mathematical Modeling and Program Science.10019D3ABAB, 685203McMasterPandemicCompartmental epidemic models for forecasting and analysis of infectious disease pandemics: contributions from Ben Bolker, Jonathan Dushoff, David Earn, Weiguang Guan, Morgan Kain, Michael Li, Irena Papst, Steve Walker (in alphabetical order).122C78CB7, 685445Michael WZ LiMichael Li is Senior Scientist in the Public Health Risk Science Division (PHRS) of the Public Health Agency of Canada (PHAC) and a Research Associate at the South African Centre for Epidemiological Modelling and Analysis (SACEMA).10019D3ABAB, 701020CANMOD â PublicationsPublications by CANMOD Members144B5ACA0, 701037MfPH â Publications144B5ACA0, 715291macpan2McMasterPandemic was developed to provide forecasts and insights to Canadian public health agencies throughout the COVID-19 pandemic. The goal of this macpan2 project is to re-imagine McMasterPandemic, building it from the ground up with architectural and technological decisions that address the many lessons that we learned from COVID-19 about software.122C78CB7, 715329Nick OgdenNicholas Ogden is a senior research scientist and Director of the Public Health Risk Sciences Division within the National Microbiology Laboratory at the Public Health Agency of Canada.10019D3ABAB, 715667mpox859FDEF6 URL: DOI: https://doi.org/10.1002/jmv.29256
| Extrait - [Journal of Medical Virology, 6 December 2023]
The 2022 mpox outbreak predominantly impacted gay, bisexual, and other men who have sex with men (gbMSM). Two models were developed to support situational awareness and management decisions in Canada. A compartmental model characterized epidemic drivers at national/provincial levels, while an agent-based model (ABM) assessed municipal-level impacts of vaccination. The models were parameterized and calibrated using empirical case and vaccination data between 2022 and 2023. The compartmental model explored: (1) the epidemic trajectory through community transmission, (2) the potential for transmission among non-gbMSM, and (3) impacts of vaccination and the proportion of gbMSM contributing to disease transmission. The ABM incorporated sexual-contact data and modeled: (1) effects of vaccine uptake on disease dynamics, and (2) impacts of case importation on outbreak resurgence. The calibrated, compartmental model followed the trajectory of the epidemic, which peaked in July 2022, and died out in December 2022. Most cases occurred among gbMSM, and epidemic trajectories were not consistent with sustained transmission among non-gbMSM. The ABM suggested that unprioritized vaccination strategies could increase the outbreak size by 47%, and that consistent importation (â„5 cases per 10â000) is necessary for outbreak resurgence. These models can inform time-sensitive situational awareness and policy decisions for similar future outbreaks. |
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