Just read your other preprint (same issue with the code link here as well) - nice to see the methodology behind the estimates. Thought I would point out this preprint (which was led by one of my colleagues, Katharine Sherratt) might be interesting to compare findings.
If interested we have automated publishing Rt estimates each day (for our site epiforecasts.io/covid) for admissions, test positive cases, and deaths: https://doi.org/10.7910/DVN/CCE4XT
It would be really interesting to see a comparison to those generated with your pragmatic approach.
Would it be possible to update the paths in your paper code to be relative rather than absolute? It makes reproducing a bit of a hassle.
I also couldn't find a reference to the uncertainty upscaling in the preprint, is it still in use? Could you point me to the paragraph if so?
Hi Rob,
Just read your other preprint (same issue with the code link here as well) - nice to see the methodology behind the estimates. Thought I would point out this preprint (which was led by one of my colleagues, Katharine Sherratt) might be interesting to compare findings.
https://www.medrxiv.org/content/10.1101/2020.10.18.20214585v1.full.pdf
If interested we have automated publishing Rt estimates each day (for our site epiforecasts.io/covid) for admissions, test positive cases, and deaths: https://doi.org/10.7910/DVN/CCE4XT
It would be really interesting to see a comparison to those generated with your pragmatic approach.
Would it be possible to update the paths in your paper code to be relative rather than absolute? It makes reproducing a bit of a hassle.
I also couldn't find a reference to the uncertainty upscaling in the preprint, is it still in use? Could you point me to the paragraph if so?