We estimate 1 in 148 Americans are actively infectious. This equates to 2.3 million infections/week, expected to result in >100,000 new #LongCOVID conditions & >800 deaths.
A room of 100 people is a coin toss of an exposure.
2) PMC COVlD Dashboard, July 14, 2025 (U.S.) 🧵
Transmission (red) is closely tracking the path of 2 years ago (yellow). However, the incoming data are spotty. >20% of CDC states have limited/no data, & Biobot hasn't reported in weeks.
Could be MUCH worse or slightly better.
3) PMC COVlD Dashboard, July 14, 2025 (U.S.) 🧵
Our model formalizes the mathematical assumptions in those predictions. If transmission follows what we know in terms of how waves grow or slow generally and historical patterns, this is what we'd expect.
The spottiness of the current real-time data reduce precision substantially. Retroactive corrections can make the forecast jump around from better to worse from one week to the next. Expect the worst. Hope for the best.
4) PMC COVlD Dashboard, July 14, 2025 (U.S.) 🧵
Although many speak of the wave in the future tense, several regions are presently surging.
Transmission is "high" in Alaska, Hawai'i, Florida, & Mississippi. "High" means at least an estimated 1 in 75 infectious.
Note, the CDC "restandardizes," "cleans," or improves the accuracy of its estimates each week and with big updates on Jan 1 and July 1.
This is all normal stuff, but you may notice the PMC multiplier shifted down a little more (a stat we use in converting wastewater levels to case estimates). Some of the left-side axes on various graphs have been updated too.
The CDC used to have a banner noting the Jan/Jul 1 thing year-round. It was misunderstood and even used by disinformation artists to try to portray wastewater data poorly.
Amid many negative changes to federal websites the past several months, the CDC C19 wastewater pages have improved in a few minor areas, especially getting rid of things like that banner that just confused people.
8) PMC COVlD Dashboard, July 14, 2025 (U.S.) 🧵
That's all pretty technical stuff in the analytic weeds, but the update essentially means national levels didn't get as low as the CDC had previously estimated.
Some "big accounts" have downplayed summer transmission. They are often more generalists and are not deep in these data. I noted previously the lull levels would likely get corrected upward, and this was in fact correct. Compare the most recent report versus 2 weeks ago.
See how the black line doesn't go as low now. You might have to zoom in to see it. It may seem small, but it had the effect of increasing 2025 infections (through June 21) by about 9 million.
9) PMC COVlD Dashboard, July 14, 2025 (U.S.) 🧵
The COVID reporting delays and corrections and significant geographic variation can make it challenging to know one's local situation.
U.S. CDC numbers just released. Good news (for those not in Louisiana). "Only" a 5% national increase.
2025 has closely tracked with summer 2023 transmission. A 12-13% increase would have been expected based on those numbers. That said...
real-time data have been prone to retroactive corrections. This is frustrating, of course, because it leaves people making decisions based on data that are only of good quality when 2 weeks old.
If we saw a 12% increase this week, I'd say look at 2023 for a glimpse...
at the future. Instead, I would consider these plausible scenarios:
🔹Wave still similar to 2023
🔹Later wave with schools more implicated
🔹Something temporarily much better
COVlD is surging in 7 states, according to the CDC.
🔹Hawai'i (Very High)
🔹California (High)
🔹Nevada (High)
🔹Texas (High)
🔹Louisiana (High)
🔹Florida (High)
🔹South Carolina (High)
2. PMC COVlD Dashboard, July 21, 2025 (U.S.)
Western surge:
🔹California: 1 in 63 actively infectious, much higher in LA & Bay areas
🔹Hawai'i: 1 in 35 actively infectious
🔹Nevada: 1 in 63 actively infectious
These are wastewater derived estimates, not from individual tests
3. PMC COVlD Dashboard, July 21, 2025 (U.S.)
Southern surge:
🔹Texas: 1 in 56
🔹Louisiana (New Orleans): 1 in 65
🔹Florida: 1 in 66
🔹South Carolina: 1 in 71
Again, wastewater estimates (wise indicator), not individual testing (low-quality data).
🌍Want to track COVID transmission accurately worldwide?
This PMC thread walks you through leading dashboards with information more up to date than WHO & EU directories.
🧵 1/
The Pandemic Mitigation Collaborative (PMC) Dashboard provides weekly COVID updates for the U.S., using wastewater surveillance derived case estimation models and analytic forecasting.
Our international directory includes official government dashboards & those developed by citizen scientists.
We exclude countries that have stopped reporting in the past 2-12 months even if on EU or WHO lists. We also exclude low-quality data from opt-in testing programs.
🧵 3/
🔥Biggest uptick since Jan
🔥1 in 167 actively infectious
🔥>2 million weekly infections
🔥700-1,200 resulting excess deaths from weekly infections
Track transmission closer to home w/our new state & international resources 👇
🧵1/6
PMC COVlD Dashboard, Jun 23, 2025 (U.S.)
🔹With >90% probability, we have entered the 11th COVlD wave.
🔹In a room of 50 people, there is already a 1 in 4 chance of an exposure.
🔹We expect nearly 15 million infections in the next month, and rising.
🧵2/6
PMC COVlD Dashboard, Jun 23, 2025 (U.S.)
We continue to expect transmission to break 500,000 daily infections in the U.S. around July 9th.
This is the same prediction as last week, as the forecast was dead on. Yet, there is considerably uncertainty around this timing.
Current transmission (red line) closely tracks that of summer 2023 (yellow line).
We expect to break 500k daily infections between July 9 and the end of July. Our current forecast...
2) PMC COVlD Dashboard, June 16, 2025 (U.S.)
Our current forecast is a bit more aggressive, predicting breaking 500k daily infections by July 9. The 2023 trend suggests end of July.
The 95% confidence interval shows large variation. Note that...
3) PMC COVlD Dashboard, June 16, 2025 (U.S.)
Note that CDC and Biobot both had retroactive corrections to last week's data, meaning the relative "lull" will last a little longer than the uncorrected data suggested. No big news on NB.1.8.1.