Talk Abstract
With the second waves of COVID-19 unfolding in most European countries, it is worth to look back at the first wave and especially the past summer, where case numbers were case numbers stayed low. I will present approaches to infer the effectiveness of interventions, and models to explore their potential. This talk will be interesting for anyone wanting to understand the current and potential future dynamics of COVID-19.
Viola Priesemann | Twitter @violapriesemann |
GitHub vpriesem |
Personal website |
Talk
Viola Priesemann
Viola heads a research team at the Max Planck Institute for Dynamics and Self-Organization. She investigates the self-organization of spreading dynamics in the brain to understand the emergence of living computation. With the outbreak of COVID-19, she adapted these mathematical approaches to infer and predict the spread of SARS-CoV-2, and to investigate mitigation strategies. Viola is board member of the Campus Institute for Data Science and Fellow of the Schiemann Kolleg.
This is a PyMCon 2020 talk
Learn more about PyMCon!
PyMCon is an asynchronous-first virtual conference for the Bayesian community.
We have posted all the talks here in Discourse on October 24th, one week before the live PyMCon session for everyone to see and discuss at their own pace.
If you are available on October 31st you can register for the live session here!, but if you are not don’t worry, all the talks are already available here on Discourse (keynotes will be posted after the conference) and you can network here on Discourse and on our Zulip.
We value the participation of each member of the PyMC community and want all attendees to have an enjoyable and fulfilling experience. Accordingly, all attendees are expected to show respect and courtesy to other attendees throughout the conference and at all conference events. Everyone taking part in PyMCon activities must abide by the PyMCon Code of Conduct. You can report any incident through this from.
If you want to support PyMCon and the PyMC community but you can’t attend the live session, consider donating to PyMC
Do you have suggestions to improve PyMCon? We have an anonymous suggestion box waiting for you
Have you enjoyed PyMCon? Please fill our PyMCon attendee survey. It is open to both async PyMCon attendees and people taking part in the live session.