Infectious Questions : An Infectious Diseases Public Health Podcast

This episode of Infectious Questions podcast explores the Hantavirus, a rodent-borne virus that can cause severe and potentially life-threatening illness in humans. In this episode, we discuss the virus's morphology and classification, how it is transmitted through exposure to infected rodent droppings, urine, and saliva, and the signs and symptoms of Hantavirus Pulmonary Syndrome (HPS).
We sat down with Dr. Lynora Saxinger (an infectious diseases specialist) to examine the epidemiology of Hantavirus in Canada, populations at increased risk of exposure, and the public health implications of this emerging zoonotic disease. We also discuss prevention strategies, surveillance efforts, and key messages for public health professionals, healthcare providers, and community leaders. Whether you work in public health, infectious diseases, environmental health, or emergency preparedness, this episode provides practical insights to support awareness, risk communication, and disease prevention in Canadian communities.

The mod4PH Research Highlights podcast showcases new and relevant mathematical modelling concepts and research for public health.
This mod4PH podcast mini-series aims to highlight the groundbreaking work from the Artificial Intelligence and Mathematical Modelling Lab (AIMMLab), directed by Dr. Jude Kong. The AIMMLab is focused on developing and deploying innovative AI, data science, and mathematical methodologies and technologies to resolve complex issues for real-world application in epidemiology, ecology, and data processing. During these five episodes, we will discuss with AIMMLab members the ways in which they are leveraging novel AI tools for mathematical modelling and for Canadian public health.
1.     Episode 5: Reflections on AIMMLab projects from previous episodes, international collaboration to strengthen Canadian healthcare systems, and the AIMMLab vision for the next five years with Dr. Jude Kong.

The mod4PH Research Highlights podcast showcases new and relevant mathematical modelling concepts and research for public health.
This mod4PH podcast mini-series aims to highlight the groundbreaking work from the Artificial Intelligence and Mathematical Modelling Lab (AIMMLab), directed by Dr. Jude Kong. The AIMMLab is focused on developing and deploying innovative AI, data science, and mathematical methodologies and technologies to resolve complex issues for real-world application in epidemiology, ecology, and data processing. During these five episodes, we will discuss with AIMMLab members the ways in which they are leveraging novel AI tools for mathematical modelling and for Canadian public health.
Episode 4: The use of AI and unconventional data sources for early warning modelling systems, and the co-development of community-based digital health tools with Dr. Zahra Movahedi Nia and Dr. Gelan Zewdie.

The mod4PH Research Highlights podcast showcases new and relevant mathematical modelling concepts and research for public health.
This mod4PH podcast mini-series aims to highlight the groundbreaking work from the Artificial Intelligence and Mathematical Modelling Lab (AIMMLab), directed by Dr. Jude Kong. The AIMMLab is focused on developing and deploying innovative AI, data science, and mathematical methodologies and technologies to resolve complex issues for real-world application in epidemiology, ecology, and data processing. During these five episodes, we will discuss with AIMMLab members the ways in which they are leveraging novel AI tools for mathematical modelling and for Canadian public health.
1.     Episode 3: Incorporating human behaviour in models of disease transmission, novel applications of AI in math modelling, and addressing AI-related data privacy concerns with Dr. Qing Han and Dr. Abbas Yazdinejad.

The mod4PH Research Highlights podcast showcases new and relevant mathematical modelling concepts and research for public health.
This mod4PH podcast mini-series aims to highlight the groundbreaking work from the Artificial Intelligence and Mathematical Modelling Lab (AIMMLab), directed by Dr. Jude Kong. The AIMMLab is focused on developing and deploying innovative AI, data science, and mathematical methodologies and technologies to resolve complex issues for real-world application in epidemiology, ecology, and data processing. During these five episodes, we will discuss with AIMMLab members the ways in which they are leveraging novel AI tools for mathematical modelling and for Canadian public health.
1.     Episode 2: AI and math modelling tools to advocate for community health, and the development of an explainable AI tool for epidemic modelling with Sherif Shuaib and Dr. Yang Xu.