Richard Neher
Richard Neher
@alebrand just sketched this a bit. We'll have to see how we can align this with the JHU initiative.
adding mobility data could be fun. We could overlay this with the Rt graph. But I haven't looked into Google's API and how we'd match up keys for different regions.
This is an interesting suggestion. When fitting the model to case count data to get the initital parameters roughly right, we actually do account for incomplete case counts, but take...
Please elaborate... you mean immunity between different CoVs like HKU1 and OC43? Is there data that this is a big effect? Do we know how this is distributed among age...
@khomri12 I am not sure I fully understand the question. the R0 is approximately given by the baseline ß(t) divided the mean time somebody is infectious. You can find more...
there is a one-to-one relation between the function beta(t) and R(t).
@osnofas thanks for these notes. We generally don't fit case counts for the exact same reasons you mention. Instead, we try to fit deaths. This usually results in case counts...
We should probably add a guide on how to adjust/fit manually. And you are right, you can't fit both. my strategy is to fit death for absolute numbers and fit...
some of these issues were addressed in #489, but there are still aspects that can be improved
adding this to milestone 1.1. I think some proof-reading, a few words here and there will go a long way.