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Related: About this forumupdated infection model
https://imgur.com/a/E4mdzgHI changed the model from a pure SIR model. I haven't quite got the formulas worked out (still simple), but not useful for absolute numbers. But it is worthy of relative changes given social distancing.
Important point is that social distancing still can have a dramatic impact, it's not too late. That's the message I think is key.
Looking for feedback.
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updated infection model (Original Post)
Pobeka
Mar 2020
OP
mercuryblues
(14,530 posts)1. giving this a kick
because I would also like to read some feedback.
Sherman A1
(38,958 posts)2. K&R
Wounded Bear
(58,645 posts)3. Social distancing has proven effective historically...
but it's nice to see it displayed graphically.
Pobeka
(4,999 posts)5. Got estimate of absolute numbers now.
https://imgur.com/a/pvr05NU
Assumed a new case is infectious for 5 days before being quarantined.
Keep an array of new cases by day.
Increment the day (call it today). Look back 5 days, new cases today increases by the sum of the new cases over the past 5 days * R0/5 * (susceptible population / total population).
Still pretty simple, really.
The delayed social distancing line (33%) is so similar to the undelayed because in the delay case you've essentially started with a higher number of cases at the point the social distancing takes place.
Assumed a new case is infectious for 5 days before being quarantined.
Keep an array of new cases by day.
Increment the day (call it today). Look back 5 days, new cases today increases by the sum of the new cases over the past 5 days * R0/5 * (susceptible population / total population).
Still pretty simple, really.
The delayed social distancing line (33%) is so similar to the undelayed because in the delay case you've essentially started with a higher number of cases at the point the social distancing takes place.