We are headed into potentially the 2nd largest COVID surge all-time in the U.S.
If #wastewater levels follow historic trends, we will reach 2 million infections/day at peak surge with 4.2% of the population actively infectious on Jan 10.
2/ The winter peak should arrive between Jan 3 and Jan 17. The model estimates a peak of 1.7 to 2.2 million infections per day.
If unlucky, 1 in 20 people will be infectious, and it will be the 2nd largest wave. If lucky, more like 1 in 30, and the 4th largest wave.
Consider optimistic and pessimistic scenarios not captured by these models.
Optimism:
A rosy scenario would be that the peak occurs a week earlier at a slightly lower level (1.6-1.7 infections/day like last winter or the preceding summer). The level of acceleration in transmission argues against that, in favor of a higher peak, but Biobot is reporting some unusual regional variation (much lower transmission in the U.S. South and West). Moreover, historical patterns of how transmission should or should not accelerate cannot account for existing variation on population-level immunity due to variation in prior exposure history, recency of vaccination, and how well the current vaccine matches disseminating subvariants relative to prior vaccines. Finally, Biobot wastewater sites could be overreporting, and levels could get corrected downward. Each of these factors is highly plausible, but the “rosy” scenario remains quite bleak and suggests the pandemic remains far from “over.”
Pessimism:
Also, consider more pessimistic scenarios. Current vaccination rates remain extremely low, and several other countries are reporting atypically high acceleration via wastewater data. Placing plausible hypothetical values in the model, it is difficult to imagine a scenario where the U.S. reaches 2.5 million infections/day. Sometimes, people draw graphs showing a continued acceleration like BA.1, but such models seem to reflect imagination rather than data. The data do not suggest an evidence for a BA.1-level surge.
3/ COVID transmission is already very bad in the U.S. and getting worse.
Today:
🔹1.4 million daily infections
🔹1 in 35 infectious (2.9%)
In 4 weeks (Jan 15):
🔹1.9 million daily infections
🔹1 in 24 infectious (4.2%)
4/ Zooming out to the entire pandemic, we're in the 8th wave. It's likely to be the 2nd-4th biggest all-time and about 1/4 to 1/3 the peak of the horrendous BA.1 surge.
#Wastewater shows that transmission today is worse than during 90% of the entire pandemic.
5/ We are at nearly 10 million U.S. COVID infections per week. Conservatively, such infections alone would result in nearly a half-million #LongCOVID cases.
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
Based on today's CDC data, we estimate 1 in 51 Americans are actively infectious with COVlD. That's nearly 1 million new daily infections.
Be wise. Vax up, mask up. #oneofthetwo
🧵2/10
Many states are surging presently. True levels are higher than shown in most places due to state-level reporting lags.
🧵3/10
Although many states are surging, do not feel false security in "low" level states. For example, NY has terrible reporting quality with the CDC currently.
In the latest CDC data, 15 states have moderate to very high transmission.
🔹1 in 63 estimated actively infectious nationally, rising fastest in the Midwest & Northeast
🔹Very High: Indiana
🔹High: Nebraska, Vermont, Connecticut
🧵1/9
PMC estimates 1 in 26 people in Indiana are infectious and 1 in 39 in Connecticut.
MI, MS, and AR may have higher levels than shown due to poor reporting.
States AL to MS shown.
🧵2/9
PMC estimates 1 in 39 are infectious in both Nebraska and Vermont (coincidence, not typo).
Very few NY sites are reporting to the CDC, so use the NYS website there instead.
PMC COVlD Update, Week of Nov 24, 2025 (U.S.)
🧵1/10
With CDC data operational again, the transmission map is back. The data are always a week old, so transmission is likely worse than depicted.
We estimate 1 in 116 people actively infectious and 422,000 new daily infections.
PMC COVlD Update, Week of Nov 24, 2025 (U.S.)
🧵2/10
State level estimates are back. Note, the CDC changed their data processing approach in August, which tends to downplay transmission.
Does 1 in 45 in Indiana seem "moderate"?
Levels in MI may be mod/high (poor reporting).
PMC COVlD Update, Week of Nov 24, 2025 (U.S.)
🧵3/10
State-level estimates (continued).
Current levels may be much higher than noted here. Note that CDC data are always at least a week old. The 2nd half of November is a time period historically of accelerating transmission.