Closed ivan-aksamentov closed 3 years ago
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I removed the immune from the recovered again, as it messed up the pie chart with outcomes. I now instead have pop.immune
are an array in the results structure. The algorithm deals with it correctly. We can see whether/how we want to show the this fraction of the population in the plots and tables.
the pdf print is broken for me.
the pdf print is broken for me.
Hi Ivan,
I worked a little more on the seroprevalence branch. this now has new data (the script still has some small problems -- produces NaN outputs when some data are missing).
I made the R0 curve extend over the entire range, not just the part that we are simulating now. But this is pretty hacky, but I first wanted to see how this looks: https://github.com/neherlab/covid19_scenarios/blob/feat/seroprevalence/src/algorithms/run.ts#L69
Resolves #779 Contributes to #778
Adds seroprevalence parameter to the: