50 episodes listed below
Public health questions, answered through systems and evidence.
Infectious Questions is a public health series from NCCID, moving between infectious disease modeling, First Nations data sovereignty, and shelter-related public health questions. Its conversations favor applied problems: early warning systems, privacy-preserving AI, community engagement, and how institutions support people facing overlapping risks.
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Infectious Questions is an NCCID public health show built around practical infectious disease questions and the institutions that answer them. It is technical without being sealed off from real-world consequences. Recent Mod4PH Research Highlights episodes focus on AI, data science, and mathematical modeling for public health use. Wendy Sia speaks with Dr. Jude Kong about the Artificial Intelligence and Mathematical Modeling Lab, its framework, and its work on public health questions. Other AIMM Lab conversations bring in modeling of human behavior, privacy-preserving technologies, AI governance, air quality, healthcare, and disease surveillance. The show is especially interested in how data becomes action. Early warning systems, unconventional data, respiratory infections, community signals, and policymaker-facing dashboards all appear as part of that thread. The series also treats community context as more than a footnote. Discussions of co-creation, participatory workshops, low-resource settings, pastoralist communities, border areas, and locally trusted tools give the research a grounded public health frame. A separate Voices of Sovereignty series, presented with Chiefs of Ontario, shifts the emphasis to First Nations data sovereignty. Those episodes discuss community mandates, grassroots initiatives, research ethics boards, privacy laws, data sharing agreements, and the role of governments holding First Nations data. The show’s range is wider than lab science. Its public health perspective on shelters mini-series addresses gender-based and intimate partner violence, domestic violence shelters, LGBTQ services, mental health, addiction, parenting, and barriers to disclosure. That breadth gives Infectious Questions its shape. It is not a general medical chat show, and it is not a headlines show. It is closer to a working public health notebook: researchers, policy staff, and community-facing practitioners explaining how infectious disease response depends on models, data rights, trust, services, and governance. The pacing is measured. The language is professional. The strongest episodes make technical systems legible by tying them to communities that have to live with the results.
Made for: Suits a listener who wants infectious disease and public health explained through modeling, data governance, community engagement, and service delivery. It fits people looking for applied context rather than casual medical commentary.
What sets it apart: The show connects infectious disease work to the public health systems around it: AI models, First Nations data sovereignty, shelter services, privacy, ethics, and community trust. Similar shows may stay inside clinical or research lanes; this one keeps returning to how evidence is used.
A public health podcast produced by the National Collaborating Centre for Infectious Diseases (NCCID), "Infectious Questions" connects those with infectious disease questions to those with the answers.Un balado sur la santé publique réalisé par le Centre de collaboration nationale des maladies infectieuses (CCNMI) et appelé « Infections en question » fait le lien entre les balados concernant les questions sur les maladies infectieuses et ceux qui offrent des réponses à ces questions.
A 56-day respiratory warning signal gives your AI curiosity a real public-health problem to chew on.
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Short reviews from the PlayNext desk, based on the episodes we processed.
A grounded look at how unconventional data may support earlier disease warnings and sharper public-health decisions.
The five-part research series closes by gathering its main strands: Wendy Sia of NCCID and Dr. Jude Kong return to the AIMM Lab's work and the place of AI and mathematical modeling in Canadian public health.
A grounded look at AI, disease surveillance, and the practical value of community co-creation.
Artificial intelligence enters public-health surveillance through a practical question: how can unconventional data help flag respiratory infectious diseases earlier? The episode follows Dr.
A clear opening look at how AI, mathematical modeling, and one health connect in public-health work.
Wendy Hsieh sets up Dr. Jude Kong and the AIMM Lab with a measured look at how AI, data science, and mathematical methods can support public-health work.
A grounded look at community-centered AI and mathematical modeling for public health.
The second episode of the AIMM Lab mini-series keeps mathematical modeling close to the people it is meant to serve. Sherry Shuaib, a PhD candidate in Applied Mathematics at York University and the lab's coordinator, presents community partnership as the starting point rather…
A grounded look at how First Nations communities are asserting control over data and pushing governments to respect it.
First Nations data sovereignty is framed here as a practical question of control: who holds community information, who gets access, and whose priorities guide its use.
Brain science before it becomes a headline.
["Mod4PH Research Highlights opens a five-episode AIMM Lab mini-series from the National Collaborating Center for Infectious Diseases, with Wendy Hsieh introducing Dr.
["Jude Kong says the AIMM Lab's unconventional-data dashboard can flag respiratory disease signals 56 days ahead, using news, sentiment, and digital traces rather than conventional surveillance alone.", "He and Wendy Sia tie that warning system to a broader model of community co-creation, where high school students, community health-centre staff, and university researchers build solutions together.", "The conversation moves through Qing's behavior-aware infectious-disease modeling, Yang's hybrid physics-informed neural network work, and the limits COVID-19 exposed in classical epidemic theory.", "Jude closes with a five-year plan for one Canadian data, a community metadata portal, Dominic for misinformation checks, mosquito monitoring, and a health-emergency hub."]
["Mod4PH Research Highlights Episode 11 follows the AIMM Lab mini-series with Wendy Hsieh of NCCID, Dr.
Mod4PH Research Highlights Episode 9 from Infectious Questions centers on AIMM Lab research at the National Collaborating Center for Infectious Diseases, with Wendy Sia interviewing Sherif Shoaib and Dr.
Voices of Sovereignty: Episode 11 reviews the first season’s discussions of First Nations data sovereignty and marks the Chiefs of Ontario’s 50th anniversary.
Episode 10 of the Voices of Sovereignty podcast series, presented by the Chiefs of Ontario Research and Data Management Sector with the National Collaborating Centre for Infectious Diseases, focuses on capacity building for First Nations data sovereignty.
Infectious Questions host Susie Taylor interviews Dr.
This episode explores the social historical context of COVID-19 among Inuit populations in Canada, discussing how past pandemics inform current responses.
This episode discusses how structural determinants intensified by COVID-19 affect South Asian communities in Canada, featuring an interview with Dr.
An interview discussing COVID-19 vaccination for migrant workers in Ontario, focusing on the process and impact on their health.
This episode discusses current trends of COVID-19 among children in Canada and new research on infectivity, transmission, and variants of concern.