Contact reduction (spending time in-person with fewer people) is an extremely smart method of avoiding infection. You'll see this in the next two tables. One focuses on schools/meetings. The other is more generic. Let's see which one gets shared more.
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This table shows how the risk of interacting with someone with COVID increases as the size of a classroom or meeting increases, as of Nov 20.
With 10 people, there's a 15% chance someone has COVID. With 50 people, there's a 55% chance someone has COVID.
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This table has the same data but a more generic title. It should help people think about the typical number of people they interact with in a day.
In interacting with 10 people, there's a 15% chance someone has COVID. 50 people = 55% chance. Plane, restaurant, or theater with 100 people = 80% chance someone there has COVID.
Again, same table as Tweet #5, just framed with a different title.
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Many families will gather for Thanksgiving in 3 days (Nov 23). Here's how COVID risk increases with the number of social interactions.
In a family gathering of 5, there's an 8% chance someone has COVID. A big gathering of 10 = 16% chance. Two family dinners each with 10 people (approx 20 people total) = 29% chance someone has COVID. Packed restaurant of 100 = 82% chance someone has COVID. Flight of 200 = 97% chance someone has COVID.
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Many families will gather for Christmas and other celebrations next month. Here's how COVID risk increases with the number of social interactions.
In a family gathering of 5, there's an 15% chance someone has COVID. A big gathering of 10 = 27% chance. Two family dinners each with 10 people (approx 20 people total) = 47% chance someone has COVID. Packed restaurant of 100 = 96% chance someone has COVID. Flight of 200 = 99.8% chance someone has COVID.
These numbers are speculative at 1-month out. The model will refine estimates as we get closer and closer. Stay tuned.
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Here's the full PMC Dashboard for Nov 20.
You can read the full report here:
Thanks everybody for sharing across platforms and your feedback on things like axis labels, making the percentages meaningful, etc. Much appreciated. The "C" in PMC is for collaborative.
πΈCDC SARS-CoV-2 wastewater levels "Very High," and up from last week
πΈ1 in 21 estimated actively infectious
πΈ>250,000 estimated new daily infections statewide
Four figures...
1/4π§΅
CDC wastewater data in California show COVlD cases increasing from the already "Very High" levels last week.
2/4π§΅
With an estimated 1 in 21 (or 4.8%) of California residents actively infectious of COVlD, risk increases dramatically in larger and more frequent social gatherings.
Interact with 25 people of average risk of being positive, and that's a >70% chance of exposure.
3/4π§΅
Let's say you're a dairy farmer. You have 100 cows. Each year, about 5 cows die, and another 5 cows are born. Then, along comes a virus. Let's call it "cowvid"...
1/
Let's say "cowvid" wipes out about half the cows over the course of a couple years. Now, you're down to 50 cows....
2/
The local mayor declares "cowvid" to be over. This surprises you as a farmer because 5 of your cows keep dying annually. 5 of 50 instead of 5 out of 100. Seems like more, but you're not a city slicker...
3/
The 11th wave is still rising.
π₯23 states/territories High/Very High
π₯Very High: Alabama, DC, Guam, Hawai'i, Louisiana, Nebraska, Nevada, South Carolina, Texas, Utah
π₯1 in 56 estimated actively infectious
π₯876,000 new daily infections
PMC Dashboard Update (U.S.) π§΅2 of 8
Note that the CDC has modified π how transmission levels correspond to the categorical bins.
Take California. We estimate 1 in 30 actively infectious statewide. This would have previously been "Very High," now just "High."
#NewNormal
PMC Dashboard Update (U.S.) π§΅3 of 8
Here are the prevalence estimates for the first half of states/territories.
Notice how high the levels are in some of the "Moderate" states.
Second, a lot of people can sustain a strong denial of reality about the ongoing pandemic during lulls. They suppress the existence of COVlD waves and excess deaths, disability, and retirements.
During waves, those defenses burst. Loss of control = anger...
Third, a lot of people (many reading this) understand COVlD correctly & experience righteous indignation during COVlD waves. We quite reasonably do not like all of the unjust and gratuitous suffering.
I find it helpful to channel that intensity into helping other people....