4 ms·

If you want to check R's history for any country/region... you can try out our website: https://reproduction.live/world https://reproduction.live/world There i

If you want to check R's history for any country/region... you can try out our website: https://reproduction.live/world https://reproduction.live/world There is also a search on the landing page: https://reproduction.live https://reproduction.live which I should probably put in the sidebar of the dashboard page as well.

Fordec 6y ago
Just a little thing to note, the timeline scroll bar dates are all smushed together and illegible on mobile
- itsdsmurrell 6y ago
  Thank you. The bubble chart in general looks bad on mobile and I'm not quite sure what to do about it. Maybe rotate it 180 degrees?
  - Fordec 6y ago
    Yeah, it's probably the easiest option to rotate it 90 or 45 degrees. Any other solutions I can think of would require significantly more development overhead. Not sure such a minor thing is worth too too much effort
    - itsdsmurrell 6y ago
      It's less the label smushing and more the fact that the bubbles overlap that annoys me. This makes it hard to see what's going on on mobile on arguably the most important chart on the site. Plausible.io tells me that for today for the spike from this comment, 70% of users were on mobile. I might try the rotation thing. Thanks for the feedback!
ml_basics 6y ago
Are you using just reported positive cases to infer the value of R on this website? Or are you using estimates from local authorities? Or are you doing your own epidemiological modelling to go from raw positive cases to R values? In the UK, epidemiological modelling is done by various government bodies and universities, and it is this that is being reported in OP: https://www.gov.uk/guidance/the-r-number-in-the-uk https://www.gov.uk/guidance/the-r-number-in-the-uk
- itsdsmurrell 6y ago
  We have some answers to those questions here: https://reproduction.live/about https://reproduction.live/about tl;dr is that we use a single datasource (not managed by us but by many dedicated others) and use case counts to estimate number of currently infectious and from that we estimate R. The running time of our R estimation calculations for all regions is around 1.5 hours on a $10/month Digital Ocean droplet. Sometimes strange looking results on our site picked up by guests can be fed back to the maintainers of the datasource resulting in a correction of the data. On our website, R value estimation is done by my father, a retired computer science professor with a long history of mathematical modelling experience. This is hacker news right? :)
  - ak39 6y ago
    What a comment! (Tips hat)
kebman 6y ago
Is it possible to get aggregate numbers? Say for the Nordics and for Scandinavia, or other such regions of tightly knit countries or regions? Most "Scandis" like to compare with the other Scandinavian countries, and with select European countries that are similar, such as the Netherlands and Belgium.
- itsdsmurrell 6y ago
  Not at the moment unfortunately. The display breaks down by the hierarchical organisation of the data source. It might be possible to build up a list of regions as you navigate through the site, and then show only those in the bubble chart so that you can compare them. Interesting idea. We wouldn't be able to aggregate infectious or R estimates for one or more regions together as the computation for those is done during deploy and then that processed data is uploaded along with the static site (it doesn't connect to a database to fetch data on the fly).

Fordec 6y ago

Just a little thing to note, the timeline scroll bar dates are all smushed together and illegible on mobile

itsdsmurrell 6y ago
Thank you. The bubble chart in general looks bad on mobile and I'm not quite sure what to do about it. Maybe rotate it 180 degrees?
- Fordec 6y ago
  Yeah, it's probably the easiest option to rotate it 90 or 45 degrees. Any other solutions I can think of would require significantly more development overhead. Not sure such a minor thing is worth too too much effort
  - itsdsmurrell 6y ago
    It's less the label smushing and more the fact that the bubbles overlap that annoys me. This makes it hard to see what's going on on mobile on arguably the most important chart on the site. Plausible.io tells me that for today for the spike from this comment, 70% of users were on mobile. I might try the rotation thing. Thanks for the feedback!

ml_basics 6y ago

Are you using just reported positive cases to infer the value of R on this website? Or are you using estimates from local authorities? Or are you doing your own epidemiological modelling to go from raw positive cases to R values? In the UK, epidemiological modelling is done by various government bodies and universities, and it is this that is being reported in OP: https://www.gov.uk/guidance/the-r-number-in-the-uk https://www.gov.uk/guidance/the-r-number-in-the-uk

itsdsmurrell 6y ago
We have some answers to those questions here: https://reproduction.live/about https://reproduction.live/about tl;dr is that we use a single datasource (not managed by us but by many dedicated others) and use case counts to estimate number of currently infectious and from that we estimate R. The running time of our R estimation calculations for all regions is around 1.5 hours on a $10/month Digital Ocean droplet. Sometimes strange looking results on our site picked up by guests can be fed back to the maintainers of the datasource resulting in a correction of the data. On our website, R value estimation is done by my father, a retired computer science professor with a long history of mathematical modelling experience. This is hacker news right? :)
- ak39 6y ago
  What a comment! (Tips hat)

kebman 6y ago

Is it possible to get aggregate numbers? Say for the Nordics and for Scandinavia, or other such regions of tightly knit countries or regions? Most "Scandis" like to compare with the other Scandinavian countries, and with select European countries that are similar, such as the Netherlands and Belgium.

itsdsmurrell 6y ago
Not at the moment unfortunately. The display breaks down by the hierarchical organisation of the data source. It might be possible to build up a list of regions as you navigate through the site, and then show only those in the bubble chart so that you can compare them. Interesting idea. We wouldn't be able to aggregate infectious or R estimates for one or more regions together as the computation for those is done during deploy and then that processed data is uploaded along with the static site (it doesn't connect to a database to fetch data on the fly).