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.
During this 12th COVlD wave, the CDC reports 1-in-3 states have "High" or "Very High" levels.
PMC estimates the proportion of residents actively infectious (prevalence):
◾️USA: 1 in 67
◾️IA: 1 in 27
◾️MI: 1 in 25
◾️IN & CT: 1 in 23
◾️ME: 1 in 21
◾️OK & SD: 1 in 17
🧵1/
On average, Americans have have 5.0 cumulative SARS-CoV-2 infections.
This week's infections are expected to result in 1/4 to 1 million new #LongCOVID conditions and ≈2,000 excess deaths.
🧵2/
The wave peak is now estimated >10% higher than last week at 1.2 million new daily infections, nearly double the Delta wave.
We expect sustained high transmission (≈600,000 to 750,000 new daily infections) the next few weeks as COVlD circulates through schools/families.
🧵3/
Based on today's CDC & Biobot data, we estimate the following for the week of Jan 19:
🔸1 in 52 people in the U.S. actively infectious
🔸25% chance of exposure in a room of 15 ppl
🔸Nearly 1 million new daily infections
🔸5 cumulative infections per person all-time (avg)
🧵1/5
Transmission estimates have been marginally corrected upward.
11 states have Very High COVlD levels:
🔸PA: 1 in 25 estimated actively infectious
🔸MI: 1 in 23
🔸OH & KY: 1 in 22
🔸SD: 1 in 20
🔸NE & IA: 1 in 18
🔸IL & ME: 1 in 17
🔸IN: 1 in 16
🔸WV: 1 in 11
🧵2/5
We're in the middle of a 12th COVlD wave.
The peak has likely passed, but with students headed back to school, transmission is expected to remain high for at least the next several weeks.
The size of the winter COVlD wave has been revised upward as post-holiday data come in.
We estimated 1 in 55 people in the U.S. are actively infectious.
🔥WV: 1 in 14
🔥IN: 1 in 15
🔥MI & OH: 1 in 21
🔥MO: 1 in 22
🔥CT: 1 in 24
🔥KS: 1 in 25
🔥MA & IL: 1 in 27
Quick 🧵 1/4
Nationally, we are seeing an estimated 892,000 new daily SARS-CoV-2 infections, meaning a 1 in 4 chance of exposure in a room of 15 people. Risk varies considerably by state.
We are approaching an average of 5 infections per person since pandemic onset.
🧵 2/4
We are in the 12th COVlD wave of the U.S.
Current transmission is higher than 68% of all days since the pandemic onset in 2020.
🧵 3/4
You might not have heard, but the northeastern U.S. is in a COVlD surge.
We use wastewater levels to derive estimates of the proportion of people actively infectious in each state (prevalence), e.g., 1 in 24 people in Connecticut.
We told you that 109,000-175,000 Americans would died of COVID (excess deaths) in 2025.
Today, the CDC estimates 101,000 deaths/year (flat from Oct 2022 to Sep 2024), and likely higher when considering more nebulous non-acute excess deaths (heart attack 6 months later). 1/5
The CDC estimates are actually higher than I would have guessed, given their methodology, which models estimates based on easily countable factors in healthcare and expert input on multiplier values. It lends credence to the PMC upper bound of excess deaths of 175,000/yr.
2/5
What's troubling is the CDC has annual mortality flat. My expectation based on mortality displacement and Swiss Re data is that it should be declining. If is stays flat, we're running on something like breast+prostate cancer or lung cancer deaths per year in perpetuity.
3/5