At peak surge, we will have 2 million U.S. #COVID infections/day.
Nearly 1 in 3 Americans will get infected during the peak 2 months of this winter surge. That’s 105 million infections & >5 million resulting #LongCOVID cases.
2/ Today on Christmas, 3.5% of the U.S. population (1 in 29) is actively infectious with #COVID & rising toward a Jan 10 peak.
COVID transmission is higher than during 94.7% of the pandemic. There's a 50% chance of a COVID exposure if interacting with 20 people today.
3/ We posted our first “Christmas Risk” table on October 30, and as you can see, it performed exceedingly well.
These tables should lend confidence in the PMC dashboard, and raise concern about public health leadership and the news media.
Being able to accurately predict within a few percentage points the probability of infectiousness in a room of 20 people, for example, 8 weeks out is very helpful for planning. Moreover, many would estimate *today* that the risk in a room of 20 people is <1 percentage point. We’re talking about potentially magnitudes of difference in risk estimation, and this was highly predictable long ago. It’s not something unanticipated due to a new oddly-behaving sub-variant (there will always be a new sub-variant this time of year when no mitigation) or high rates of air travel (also unsurprising). It was highly predictable, and public health officials should not be given an out. The media will try to frame this as an unanticipated surge, and it simply was not, according to those who know how to forecast.
The formal PMC forecast keeps to 4 weeks, but sometimes a more speculative long-term estimate can help with planning, especially surrounding booking travel plans. People might want to take a wait-and-see approach to booking, purchase travel insurance, or cancel entirely. We characterized the table with appropriate caution, and hopefully it was helpful.
Putting out these forecasts requires putting one’s professional reputation as a scientist on the line. It’s very easy for anonymous and fake-name accounts to make speculative forecasts. The information we provide tends to be highly conservative within a much broader set of analyses, sensitivity analyses, and scenarios considered. Know that we are very cautious about what information we share, post considerable detail on the underlying methodology and assumptions in the online report, and carefully describe how estimates may be more precise or more speculative at times. A published peer-reviewed article will ultimately account for the strengths and limitations in the accuracy of the model.
4/ Christmas infections will seed New Year’s Eve/Day infections, leading to a peak around the 10th.
Around New Year’s, interacting with 15-20 people means a 50% chance of a COVID exposure. In a restaurant or plane, the risk jumps to >98%.
5/ Zooming out to the full pandemic, we are in the 8th U.S. COVID wave & 2nd biggest all-time.
That assumes no major wastewater corrections.
We've surpassed the 1st wave, winter of 2020-21, Delta, & 2023 summer wave. Claims that “COVID is over” are harmful misinformation.
6/ Hospitals & clinicians should require universal masking. Public health officials should warn of the surge & recommend multi-layered mitigation.
Anything less is grounded in politics, short-term revenue, or defensiveness against COVID anxiety.
Levels are flat during a relative "lull" in transmission.
▪️1 in 187 estimated actively infectious
▪️260,000 estimated new daily infections
▪️High: OK, MS, WV
▪️Moderate: VT
▪️All other states low/very low in relative transmission
🧵THREAD 1/6
COVID-19 persists in 2026.
We are in a relative "lull" following a 12th wave, but at a baseline of 200-300K estimated new daily infections.
Transmission was lower in the era many refer to as #DuringCOVID, when multi-layered mitigation was used instead of denial.
🧵THREAD 2/6
Transmission during a "lull" is high in an absolute sense. Many people are getting infected.
Simultaneously, its low in a relative sense, or compared to so-called "typical" transmission. In most places, it's a safer time for medical/dental care.
Transmission is stable in a relative "lull" nationally between waves.
We estimate that approximately 313,000 people are still getting infected per day, with outbreaks radiating from TN and MS.
🧵1 of 10 (don't miss #10)!
With limited data reported, Mississippi has an estimated 1 in 27 residents actively infectious.
In a room of 25 people, that's a 61% chance of exposure, if no testing/isolation protocols.
🧵2 of 10
1 in 24 people in Tennessee are estimated to be actively infectious with SARS-CoV-2. That's a 65% chance of exposure in a room of 25 people where nobody is testing/isolating.
This is an unethically misleading study with findings easily explained by residual confounding. Some health systems and patients have thorough record keeping. Others don't. All sorts of variables will correlate (infections, cancers, anything else tracked in medical records).
This is a really obvious issue for an international epi study. It should not have been published.
The above study is using the same processes the anti-vaxxers use -- junk epi that does not account for confounding -- to support whatever pre-conceived notions the authors have, with absurdly large effects.
Denial is but one of several obvious defense mechanisms people use to try to block their awareness of the ongoing toll of COVID-19. There are many others.
Short-term capital also plays a role, but even that requires a large dose of defense mechanisms.
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/