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Introducing CDM’s OMNI-RÉUNIS Super Spreader Seminar Series

One Health Modelling Network for Emerging Infections ( is excited to officially launch the HQP-led OMNI-RÉUNIS Super Spreader Seminar Series with our first talk on Thursday titled “Modelling, risk assessment and control of the emerging monkeypox transmission” with speaker Dr. Pei Yuan from York University. The OMNI network is part of York University’s Center for Disease Modelling (CDM).

About the Series: The OMNI-RÉUNIS Super Spreader Seminar Series (SSSS) encourages Highly Qualified Personnel (HQPs, including postdocs, and graduate students), to present their research, promote their ideas, share their research experience, and establish connections among the various branches of the network. It is a platform to spread scientific knowledge about One Health research framework and showcase research progress of the 30+ OMNI-RÉUNIS HQPs within the network’s scientific research community. This bi-weekly seminar will be beneficial for knowledge transfer among OMNI-RÉUNIS and the Emerging Infectious Disease Modelling (EIDM) networks and collaborating scientific community.

The series is organized by the HQP Organizing Committee, Dr. Joseph Baafi (Memorial University of Newfoundland and Labrador), Dr. Suzan Farhang Sardroodi (University of Manitoba), Dr. Shivdeep Singh Hayer (University of Guelph), Dr. Jeta Molla (York University), Dr. Pei Yuan (York University) with leadership guidance from Dr. Jacques Bélair (Université de Montréal), Dr. Arne Ruckert (University of Ottawa) and Dr. Huaiping Zhu (York University).

Please see the details below.

We look forward to your attendance!

Zoom link: | Passcode: OMNIS (full Zoom link below) – Registration not required

Date and time: September 22, 2022 @11:00-12:00 EDT

Title: Modelling, risk assessment and control of the emerging monkeypox transmission

Speaker: Pei Yuan, Department of Mathematics and Statistics at York University

Bio: Dr. Pei Yuan is a postdoc in the Department of Mathematics and Statistics at York University, CCDM and OMNI-RÉUNIS. She obtained her PhD in applied mathematics from York University in 2021. She works in a broad field of application including modelling and control of infectious diseases, and zoonotic diseases, as well as tea pest control, climate change and mosquito-borne diseases, data-driven statistical modeling and analysis. She has been working with PHAC and TPH on data-driven predictive modeling in control of COVID-19 and monkeypox.

Abstract: Monkeypox is a viral zoonosis that was first identified in 1958 in a laboratory monkey.  Monkeypox cases keep soaring in non-endemic’s countries and areas in the last few months, the WHO has declared it a Public Health Emergency of International Concern.  In this talk, I will present our  modeling studies for assessing the risk of emerging monkeypox transmission in Canada and its control strategy at mass gathering events. Using one health approach, we establish dynamical models to mimic the spreading of the virus in human populations and distinguish the human population into higher and low-risk groups. I will present the public health measures essential to mitigate the spread and to prevent a potential future outbreak. Also, I will explain how the current vaccination strategy combined with other public health measures can contribute to mitigating or halting outbreaks from mass gathering events. This is a joint work supported by OMNI-RÉUNIS network.

Language of talk: English

Moderator: Dr. Arne Ruckert, University of Ottawa