Today, weather forecasters can spot the development of a tropical storm and use models to help determine its path and strength, which is incredibly important to protect those in its path. In episode four of the B.Next Outbreak Analytics & Forecasting series, Drs. Dylan George and Caitlin Rivers explain why the world needs a disease forecasting center now more than ever, and how it could work to inform decision making among government, policy makers, the public health community, and more to minimize disease spread.
References:
How Technology is Augmenting Public Health, with OmniSci’s Todd Mostak
Visualizing Data During a Pandemic, with Plotly’s Nicolas Kruchten
Risk Analytics in a Pandemic, with Metabiota’s Nathan Wolfe
The Effect Disease Modeling Has on Interventions and Planning Scenarios, with Marc Lipsitch
Using AI to Identify Valuable Patterns in Data, with Outlier.AI’s Sean Byrnes
Catastrophic Modeling and Risk Analytics, with Metabiota’s Nita Madhav
The Value of Data and Analytics in Outbreak Response, with Dr. Tom Frieden
Advanced Concepts in Outbreak Analytics Modeling, with Dr. Marita Zimmermann
How Disease Modeling Can Help Inform Public Health Decision Making, with Dr. Nick Reich
Exploring the Value Proposition for Better Disease Outbreak Data and Forecasting, with Dr. Steven Riley
Infectious Disease Modeling & Forecasting, with Dr. Jeff Shaman
Disease Outbreak Analytics & Forecasting 101
Good Data is Hard, but the Training Must Go On
B.Next Breaks Down COVID-19 – Testing Technologies
Leveraging Sensors to Monitor Patient Health Remotely
B.Next Breaks Down COVID-19 - Vaccines 101
B.Next Breaks Down COVID-19 - A Q&A
B.Next Breaks Down COVID-19 – Visualizing Data Surrounding a Pandemic
B.Next Breaks Down COVID-19 with Ginkgo Bioworks
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