(update 2020-03-12 1337 EDT)
I have noticed that the data in the R package cited above seriously lags the data directly available at the Github site. So if you want current data, go to the latter source.
There is also an open source article in Lancet about the capability.
Estimating mortality rate
(update 2020-03-08, 15:57 EDT)
There’s a lot of good quantitative epidemiological work being done in and around the 2019-nCoV outbreak. I was drawn to this report by Professor Andrew Gelman, one of the co-authors of STAN, but the primary work was done by Dr Julien Riou and colleagues in a pre-print paper at medRiv.
There’ll probably be a good deal more once people have some time to get into case data. I’ll keep this post updated with interesting ones I find.
(update 2020-03-12, 11:37 EDT)
(update 2020-03-12-13:26 EDT)
The are also accessible from their at their Github site. These are updated every five minutes. And it is cloned in many places.
There is alternative source available and online, and having data last dated from 11 March 2020, yesterday, from many contributors (list available online). This source’s map has much finer spatial resolution.
(update 2020-03-13, 11:49 EDT)
The New England Journal of Medicine has a full page with links about and concerning the Coronavirus (SARS-CoV-2) causing Covid-19, and it is fully open access.
Science magazine this week features four SARS-CoV-2-related articles:
- D. Grimm, “Quarantine the cat? Disinfect the dog? The latest advice about coronavirus and your pets“
- K. Kupferschmidt, “” : This article also has a link to virological.org which has a lively discussion among virologists, many concerning SARS-CoV-2. Request! Let the virologists talk there, and please do not put in random queries or comments.
- D. Normlie, “Airport screening is largely futile, research shows“
- D. Wrapp, N. Wang, et al, “Cryo-EM structure of the 2019-nCoV spike in the prefusion conformation“
(Above from Wrapp, Wang, et al, Science, p. 1260, 2020)
(update 2020-03-13, 12:41 EDT)