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Modeling, simulation and data analysis for Covid-19 epidemic
Online symposium organized by the Young Academy of Europe on models and simulation for Covid-19 epidemic, including data analysis, on April 22 from 4 to 6 pm (CEST).
Free attendance upon registration.
See the link below for more info about speakers, abstracts, timetable and registration:
https://meetings.yacadeuro.org/event/2/
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Full video of the symposium now online on YouTube!
The full video of the symposium is now online on YouTube, see: https://www.youtube.com/watch?v=Sy1qVBs6fHI
The talk by Prof. Dr. Ing. Marco Paggi, full professor at the IMT School for Advanced Studies Lucca and co-founder of the spin-off TREE-TOWER S.R.L., is available at the minute 1:07:00 and it focuses on a machine learning approach to test epidemiological SIR models and assess the reliability of their forecasts.
it sounds great Marco! It was
it sounds great Marco! It was too late for me to get this information.
An article on the analysis of the Italian lockdown
Based on the machine learning approach presented in the above webinar, an article entitled "An Analysis of the Italian Lockdown in Retrospective Using Particle Swarm Optimization Applied to an Epidemiological Model" by Marco Paggi has been published in Physics as part of the Special Issue "Physics Methods in Coronavirus Pandemic Analysis" , and is available online:
Abstract: https://www.mdpi.com/2624-8174/2/3/20
PDF Version: https://www.mdpi.com/2624-8174/2/3/20/pdf