I corrected math btw - fat fingers.
I missed the Canada aspect.
I am a retired modeler and have done my share of disease modeling (oncology) using non-linear mixed effects modeling methodology (and others) and worked with epidemiologists professionally - so I certainly realize not all patients to be tested. But...
Conversely - the number of tests administered and results (lagging 2-5 days with an incubation period of ~5 days before effect) in the US is severely lagging and extremely confounded by variability and non-homogeneous populations and lack of data (from testing) to make accurate predictions.
The testing and results in US are severely lagging. If the population is under-tested, the values for number of tested, positives, and mortalities will lack accuracy.
Social distancing only puts off the peak, but has same area-under-curve (AUC -> number of subjects infected) as contamination in clean population is problematic. SIP/SAH (shelter-in-place, stay at home) delays the peak and reduces the AUC. However, not only is compliance is important, but a problem also exists when the total population is mixed (from nothing to social-distance to SIP/SAH). Pure quarantine is the best practice, but impossible to achieve unless in a very controlled environment. This would bring the rate to zero after the initial infection/recovery/death phase is over.
The better we can achieve quarantine- the better the outcome.
Unfortunately, that is impossible. IMO, I wish the US would SIP/SAH as much as possible - then prevent contaminated populations from infecting until population immunity levels are achieved. I suspect that will be the next step - probably next week.
So there’s that...
Stay Safe.
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