Note that in the U.S. our current "lull" in transmission has an estimated average daily infection rate similar to the first 3 waves of the pandemic.
#CovidIsNotOver
Our case estimation model combines historical data from the current CDC contractor (Verily), former CDC contractor (Biobot), and multi-faceted case estimation model of the IHME to estimate transmission levels.
Across these three data sets, the intercorrelations range from r=.93 to .96. A correlation of r=1.00 is the maximum possible (perfect), so these correlations are remarkable given the differences in methodology (Verily/Biobot vs IHME) and regional coverage and processes (Verily vs Biobot). It's wise scientists doing fundamental work reaching the standards of excellence.
Many correlations in the diagnostic testing literature, for example, are considerably lower, often in the range of r=.40 to .60, so wastewater scientists and other modelers are really doing tremendous work. utoledo.edu/al/psychology/…
Working with 3 data sets to develop a composite indicator of transmission also allows us to convert between one metric and another. On the left side of the graph, you'll see what we get if we convert the composite to the metric used on the CDC website. One the right, you'll find the more meaningful metric of the IHME-base estimate of daily infections.
These models are based on hundreds of hours of work by our team as well as the teams contributing the underlying data. You can read more about the reports on our website, where you'll find hundreds of pages of reports over the past 14 months: pmc19.com/data
The specifics of the model have varied marginally over time, and we also keep a running methodologic appendix: pmc19.com/data/PMC_COVID…
You can also read my bio, which includes advanced degrees in behavioral science, medical research, and analytic modeling: pmc19.com/data/Hoerger_b…
The model has been cited in peer-reviewed medical journals as well as by many news outlets:
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