Earlier quoted context omitted.
Another important data point to assess testing is Case Fatality Rate (CFR). This is about 2.5% in the SF Bay Area. In other places with higher testing, such as Australia, the CFR is 0.6% or less. This implies that the true number of cases is 4-5 times higher... probably a lot more.
The Diamond Princess numbers are 11 deaths out of 712 cases, with 82 still outstanding (15 serious or critical). The CFR should end up being about 1.5% (or possibly somewhat higher).
Spreadsheet of San Francisco Bay Area Covid-19 Data and Charts
31–40 of 49 posts
Re: Spreadsheet of San Francisco Bay Area Covid-19 Data and Charts
#32Earlier quoted context omitted.
Another important data point to assess testing is Case Fatality Rate (CFR). This is about 2.5% in the SF Bay Area. In other places with higher testing, such as Australia, the CFR is 0.6% or less. This implies that the true number of cases is 4-5 times higher... probably a lot more.
It seems like this disease is so successful because of a significant symptom-free-but-contageous period followed by a small percentage of very serious symptoms. That's what a pandemic needs. If it is very deadly very quickly it kills its transmission vectors before they can transmit. If it is entirely symptom free, it is very evolutionarily successful, but no one cares because there aren't any negative effects. There…
It will be hard to trace and isolate if this is the case.
[1] https://sfist.com/2020/04/01/cdc-director-coronavirus-25-per... [2] https://nationalpost.com/news/world/in-iceland-free-coronavi...
Re: Spreadsheet of San Francisco Bay Area Covid-19 Data and Charts
#33Where is the most important metric? Daily tested vs tested positive stats.
Honestly, the most important metric is deaths, and from what I can see, the SF Bay Area has done relatively well in that metric. No overcrowded hospitals, for example.
* Overcrowded hospitals is what leads to large jumps in fatality rates.
* It only lags the date of infection by about a week.
* It also isn't subject to external factors like availability of tests. (Though availability of hospital beds is a factor later on)
Re: Spreadsheet of San Francisco Bay Area Covid-19 Data and Charts
#34Earlier quoted context omitted.
Another important data point to assess testing is Case Fatality Rate (CFR). This is about 2.5% in the SF Bay Area. In other places with higher testing, such as Australia, the CFR is 0.6% or less. This implies that the true number of cases is 4-5 times higher... probably a lot more.
The Diamond Princess numbers are 11 deaths out of 712 cases, with 82 still outstanding (15 serious or critical). The CFR should end up being about 1.5% (or possibly somewhat higher).
Re: Spreadsheet of San Francisco Bay Area Covid-19 Data and Charts
#35Earlier quoted context omitted.
This is not released by most counties, unfortunately. There are some limited stats to the very far right side of the "SF Bay Area Actuals" sheet. Anecdotally, Bay Area is seeing <10% positivity rates
Another important data point to assess testing is Case Fatality Rate (CFR). This is about 2.5% in the SF Bay Area. In other places with higher testing, such as Australia, the CFR is 0.6% or less. This implies that the true number of cases is 4-5 times higher... probably a lot more.
https://www.who.int/emergencies/diseases/novel-coronavirus-2...
Doesn't account for lack of testing, of course.
Re: Spreadsheet of San Francisco Bay Area Covid-19 Data and Charts
#36Earlier quoted context omitted.
Another important data point to assess testing is Case Fatality Rate (CFR). This is about 2.5% in the SF Bay Area. In other places with higher testing, such as Australia, the CFR is 0.6% or less. This implies that the true number of cases is 4-5 times higher... probably a lot more.
It's currently a little under 5% worldwide. There are on the order of 1 million cumulative cases and a bit under 50 thousand deaths. https://www.who.int/emergencies/diseases/novel-coronavirus-2... Doesn't account for lack of testing, of course.
Deaths / (Deaths + Recoveries) would be more like it, and that's a scary number.
Re: Spreadsheet of San Francisco Bay Area Covid-19 Data and Charts
#37Where is the most important metric? Daily tested vs tested positive stats.
I don't believe this is a reliable metric. Who gets tested is a moving target. Stanford a short time ago did a free-for-all testing binge in order to collect data, but finished that and is now restricting tests to people requiring specific risk factors to give a test. The first time I tried to get a test from another provider I just wasn't able, they didn't know of anywhere that would test me outside of hospitalizati…
Is there any value in people self-selecting into personal choice testing? You could get infected tomorrow, for instance...
If we wanted a full picture of community spread we'd need a top-down random sample, not self-selection, no?
Re: Spreadsheet of San Francisco Bay Area Covid-19 Data and Charts
#38Earlier quoted context omitted.
here you go: https://covidtracking.com/data/state/california
I’m asking for a source on why the backlog happened. Unless I’m missing something, that just shows the number of pending cases.
Re: Spreadsheet of San Francisco Bay Area Covid-19 Data and Charts
#39Earlier quoted context omitted.
It's currently a little under 5% worldwide. There are on the order of 1 million cumulative cases and a bit under 50 thousand deaths. https://www.who.int/emergencies/diseases/novel-coronavirus-2... Doesn't account for lack of testing, of course.
That also doesn't account for the exponential growth in number of cases; the people dying now are out of a much smaller cohort of confirmed cases in the past. Deaths / (Deaths + Recoveries) would be more like it, and that's a scary number.
Re: Spreadsheet of San Francisco Bay Area Covid-19 Data and Charts
#40Design an evacuation plan for San Francisco. You have 15 minutes.