Contra Costa County COVID-19 data as of Wednesday Jan.13, 2021.
All information is from the Contra Costa County Health Dept.:
- Total cases (since March) – 49,082
- Recovered cases – 41,361
- Deaths – 395
- Total active confirmed cases – 7,326
- One person under 30 years old has died (19-30 age range)
- 196 deaths in Contra Costa County nursing homes.
- There are currently 60 active COVID-19 outbreaks in Contra Costa nursing homes
Contra Costa County COVID-19 Hospital Data:
- COVID-19 patients currently hospitalized – 263
- Occupied ICU beds – 155 (72 COVID patients)
- Available ICU beds – 24 (5.0%) (Bay Area region is at 4.7%, according to the State of CA)
- Available ventilators – 164
PREVIOUS DAY NUMBERS SHOWN BELOW:
Contra Costa County COVID-19 data as of Tuesday Jan.12, 2021.
All information is from the Contra Costa County Health Dept.:
- Total cases (since March) – 48,449
- Recovered cases – 40,466
- Deaths – 392
- Total active confirmed cases – 7,591
- One person under 30 years old has died (19-30 age range)
- 195 deaths in Contra Costa County nursing homes.
- There are currently 60 active COVID-19 outbreaks in Contra Costa nursing homes
Contra Costa County COVID-19 Hospital Data:
- COVID-19 patients currently hospitalized – 266
- Occupied ICU beds – 158 (72 COVID patients)
- Available ICU beds – 19 (10.7%) (Bay Area region is at 4.7%, according to the State of CA, Contra Costa Health says Bay Area region is at 8.5%)
- Available ventilators – 158
How does this work?
Available ICU beds – 24 (5.0%) Today
Available ICU beds – 19 (10.7%) Yesterday
Is it me or are they using fuzzy math?
Agreed, need to get the figures correct. Good catch.
Total number of ICU beds available probably dropped. ICU availability is dependent on staffing so if you don’t have the staff for a bed it cannot be counted in total count for an ICU bed. ICU beds require a lower nurse per bed ratio then a regular floor hospital bed.
It must be that common core math
Its obvious, there is a 3rd grade student doing there math.
155 plus 24 equals 179.
Divide 24 into 179. Answer. 13.4%
Here is the missing part of the formula they use to calculate ICU bed availability.
CDPH says it calculates the adjusted ICU capacity based on the proportion of ICU patients who have COVID-19. “If a region is utilizing more than 30% of its ICU beds for COVID-19 positive patients, then its available ICU capacity is adjusted downward by 0.5% for each 1% over the 30% threshold,” according to the CDPH office of public affairs.
That formula explanation has been posted here before. According to previous East Bay Times and SF Chronicle articles, the state declined comment on why they are using the formula. It’s being used to justify an indefinite SIP and for business closures that were deemed to be low to moderate risk.
Additionally, the formula only applies to every region except for the Sacramento Region. The SIP for that region was lifted today even though their ICU capacity was at 8.4%.
They will have plenty of time to get the numbers correct.
https://www.cnbc.com/2021/01/13/moderna-ceo-says-the-world-will-have-to-live-with-the-coronavirus-forever.html
You have to admit those communist chinese are good. Now sue them down to their underwear. This better not be overlooked.
Just like the Spanish Flu, it eventually died out way. Over the past 100 yrs, all the viruses that the world has had are descended from the Spanish Flu and I’m sure whatever viruses pop up in the next 100 yrs will be descendants of Covid.
So the CDPH adjust the percent of available ICU BED to reflect the increasing numbers do to covid.
Where do they factor in the much lower Flu patients that would occupy ICU bed.
According to the CDC flu is much lower this year then in any other previous year.
So who cares how many beds are available on a given day? The number changes hourly.
I would think the answer is: we should all care because it’s incredibly low at the moment even if the estimate fluctuates. That means at the moment there aren’t a lot of spots left for you and your loved ones if they need serious medical attention.