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Tag: PublicHealth

Today We Reached Out to the Modelling Community!

Today We Reached Out to the Modelling Community!

We’re excited to share that the AI4Casting Hub has officially reached out to our broader modelling community, inviting researchers, students, and collaborators to join our initiative!

Over the past six months, with support from the University of Guelph, the Office of the Ontario Chief Medical Officer of Health, and Sanofi, and in collaboration with FluSight at the CDC and Hubverse at UMASS Amherst and UBC, we have worked hard to establish this publicly-facing, organized resource. Our mission is to elevate public discourse, inform policy, and provide training opportunities in disease forecasting.

Starting November 25, 2024, we invite researcher teams to submit weekly forecasts for Ontario and/or Canada to help provide insights into how flu, RSV, COVID, and other illnesses may evolve throughout the season. 🌟

AI4Casting Hub GitHub Repository: github.com/ai4castinghub

If you’re interested in learning more or would like to get involved, we encourage you to join our mailing list by November 20, 2024. Signing up will give you access to a 1-hour training workshop on November 22, where we’ll provide an overview of how the Hub operates and the supports we offer.

A big thank you to everyone who has supported us so far! Let’s work together to make this initiative a success.

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Dr. Monica Cojocaru receives $300,000 to help improve preparedness for respiratory pathogen epidemics

The COVID-19 pandemic highlighted the profound impact of human behavior on the spread of infectious diseases. From mask-wearing and social distancing to vaccine hesitancy and pandemic fatigue, the dynamics of human behavior proved to be a critical challenge for governments and health agencies. The constantly evolving science and the public’s willingness to adopt health measures often left policymakers struggling to keep pace. To address these complexities, a groundbreaking collaboration between academia, industry, and government agencies aims to quantify how populations perceive and adopt public health policies. This partnership will investigate decision-making mechanisms at individual, group, and population levels, assessing how these behaviors influence the dynamics of pathogen transmission over time and across diverse geographic and socio-demographic categories.

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