Author: OMNI-RÉUNIS

Registration deadline: June 5, 2022

Health-A-Thon dates: June 13- August 26, 2022

Registration: 2022 Summer Health-A-Thon: https://forms.gle/uvX2NrVMJ93dsuq36

Trainees of the NSERC-PHAC EIDM Initiative are invited to take part in the 2022 OMNI-RÉUNIS Health-A-thon this summer. The Health-a-thon provides an opportunity for Emerging Infectious Disease Modelling (EIDM) trainees to work collaboratively in a national setting, with other EIDM trainees and researchers across Canada, on research problems that will advance federal, provincial and regional public health interests in government and industry.

The Health-a-thon is a ten-week program that runs from June to August, and provides research opportunities for EIDM trainees (postdoctoral fellows and graduate students) to work on real-world EIDM questions provided by government and industry. Trainees will work in small groups with EIDM researchers. A research question from One Health will be assigned to each group from government and industry collaborators.

First week – June 13-16, 2022-: The first Health-A-Thon meetings with trainees will take place during the CAIMS Annual Meeting (Canadian Applied and Industrial Mathematics Society). The meetings will be in a hybrid format with live streaming of talks, and both in-person and virtual poster sessions from June 13-16, 2022. Ahead of the CAIMS workshop, you will learn who will be in your group and you will be assigned a research question from One Health. As part of the first meeting, you will meet with the public health/industry representative/academic that posed the question.

June-August 2022: Each group will work collaboratively and meet regularly over the summer (via zoom and email) to provide research progress updates.

Final week – August 22-26, 2022: Final project presentations would be presented during the last week of the Health-a-Thon.

Winning Project

• The final project presentation will be presented and voted on by a panel of judges
• $2000 (CAD) will be contributed to the publication of the paper resulting from the winning health-a-thon project if it is accepted and published in a scholarly journal

If you have any questions, please contact Natasha Ketter, Program Manager of OMNI-RÉUNIS at [email protected]

Thank you for registering!

Organized by the OMNI-RÉUNIS HQP Training Team – Dr. Jane Heffernan, Dr. Michael Kallos and Dr. Mark Lewis

Join us on Wednesday, June 1@ 11:00 EDT for our second talk of the OMNI-RÉUNIS Distinguished Lecture Series, where Dr. Matt Keeling is invited to present on ‘COVID-19 in the UK: Data, Models, Projections and Policy‘. Please visit the Distinguished Lecture Series page for more details. We look forward to your attendance!

OMNI-RÉUNIS is launching its first lecture on March 15@11:45 EST as part of the network’s 2022 Distinguished Lecture Series. Dr. Karine Chalvet-Monfray is invited to present her Reflections on Modelling for Infectious Diseases in the Framework of a One Health Approach. Please visit the Distinguished Lecture Series page for more details.

We look forward to your attendance!

POSITION SUMMARY

OMNI-RÉUNIS is seeking to fill several postdoctoral fellowship positions across Canada to build capacity in modelling of infectious diseases with a one-health lens. Successful candidates will work at the interface of mathematics/statistics, epidemiology, and public health to design and analyze mathematical/statistical models through an infection spectrum from early detection to mitigation. They will work with interdisciplinary committees of scientists and public health experts to produce simulation data and inform public health policy. Postdoctoral fellows will communicate their results through high-impact publications, conference presentations, and knowledge transfer events such as public seminars and other outreach activities.

QUALIFICATIONS & SKILLS

• PhD in applied mathematics, statistics, computer science, data science or a related field (essential)
• Demonstrated mathematical modelling, statistics, or data analysis capacities using data-driven quantitative analyses, differential equations, stochastic modelling, and/or mixed-effects modelling (essential)
• Experience in epidemiology or One Health (desired)
• Good oral and written communication skills

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