search

JeroenKools / covid19

Data visualizations of the spread of the 2019 novel Coronavirus (COVID-19), based on data from Johns Hopkins University.
MIT License
10 stars 5 forks source link

please include Nowcasting graphs. #6

Open stockh0lm opened 4 years ago

stockh0lm commented 4 years ago

https://www.thelancet.com/journals/lancet/article/PIIS0140-6736(20)30260-9/fulltext

please include graphs that show how many people got infected on a given day (and not when their sickness got publicly recorded).

in german, which you might be able to read: https://www.rki.de/DE/Content/Infekt/EpidBull/Archiv/2020/Ausgaben/17_20_SARS-CoV2_vorab.pdf?__blob=publicationFile

the first derivative of that graph would be very meaningful, too, as it shows the R0 in some form.

JeroenKools commented 4 years ago

Very interesting suggestion. However I think the kind of data on which they based their model and assumptions will not be available for every country, and if it is, might not be up to date. One would have to deal with major gaps in the data, making it even more speculative.

Like I said, an interesting study, but I don't see myself including this in this project any time soon.

stockh0lm commented 4 years ago

what about adding it for countries where the data is available? you dont cover all countries currently, either, and it could be extended once the data is made available later on.

stockh0lm commented 4 years ago

https://experience.arcgis.com/experience/478220a4c454480e823b17327b2bf1d4/page/page_0/

on the lower right, you can see the nowcasting graph for germany. the Robert Koch Institut (germany's responsible institution) switched to that today.