imaruyama
March 16, 2020, 10:33pm
1
MODERATOR NOTE: coronavirus resources & updates: ⭐ [COVID] Computational Research HUB For Novel Coronavirus: Data, Code, Visualizations, Notebooks - Staff Picks - WOLFRAM COMMUNITY
“Turning point(TP)” in the fight against COVID19 has been arriving at China and other states in a stabilizing trend. In this article, we demonstrate a simple fitting by a logistic function (the Fermi distribution function) to visualize turning point(TP), as shown below:
These data cannot be used for prediction but might be helpful to declare win against COVID19.
10 Likes
arnoudb
March 16, 2020, 10:59pm
2
Thank you, a very interesting analysis!
May I store a copy of your notebook (with attribution) in my collection of covid-19 related analysis notebooks here: wolfram-coronavirus/notebooks at master · arnoudbuzing/wolfram-coronavirus · GitHub ?
3 Likes
imaruyama
March 17, 2020, 4:25am
3
Thank you for your comment !
Please store a copy of my notebook.
1 Like
arnoudb
March 17, 2020, 2:40pm
4
Thank you! I am planning to collect all these notebooks in a single place, so everyone can check them out and contribute!
arnoudb
March 17, 2020, 5:14pm
5
Thanks! I have actually stored it here (with many more notebooks from others and myself to follow):
https://github.com/WolframResearch/COVID-19/tree/master/Notebooks
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