66% of adults had at least 1 symptom during the acute phase (first 2 months) of diagnosis of #COVID-19.
I’ve highlighted the symptoms experienced by at least 10%. Note that some of the less common symptoms are quite debilitating though (e.g., 9% w/lung pain).
2/12
If you had a #COVID symptom initially, what are the chances it persists beyond 2 months? See 2nd column, green highlights emphasize those enduring among >10%.
Many of the initial symptoms endure in about 20% of ppl. Russian-roulette like odds.
3/12
If you know someone with a new #COVID infection/reinfection who is experiencing symptoms, dive deep into that particular row.
For example, while memory loss is rare (4.3%), it’s the most enduring symptom beyond 2 months (40% persisting).
4/12
If you had an acute #COVID symptom, what were the chances it would resolve within 1 year?
See authors’ BLACK text.
I’ve also added a column with the chances a symptom persists (ORANGE text). Balanced framing. 🙂
5/12
Now, let’s manually combine the acute (<2 month), near-term (>2 month), and long-term (>1yr) #COVID data into one figure. Silly JAMA. 😊
Some symptoms present at 2 months largely fall off. Others persist in >25% (palp, art pain, att/conc, memory, sleep).
6/12
Overall, the number of #COVID-19 symptoms each person experiences diminishes over time.
Caveats: Initial infections were all pre-vax (call for hope), but also pre-omicron and before many reinfections (call for caution). Note, %s are among those who had an acute symptom.
7/12
Older adults, women, and ppl w/>5 acute symptoms were more likely to have persistent #COVID symptoms at 1 year.
Higher BMI = more persistent symptoms. Bad for the U.S.
8/12
An Appendix figure models the typical time to resolution of a #COVID symptom (crude estimate, varies by symptom & individual).
I added the blue line, which suggest about 5% would experience symptoms at 3 yrs. That's >16 million Americans. Very rough estimate. #recession
9/12
Model of time to COVID-19 symptom resolution by subgroup.
#COVID has persistent effects for those with a history of cancer or who had a bad acute case. Either we have a critical gender health disparity or men are trying to walk off heart palpitations. 🤔
An average of 10% of adults were experiencing long-term symptoms from #COVID-19.
The authors note that this is a critical public health problem b/c of the high incidence of infection. They are perhaps too optimistic. We have a high incidence of REinfections.
11/12
Limitations: The COVID-19 initial infections were all before the vaccine era, mostly before reinfections, and pre-omicron.
You cannot have long-term data AND up-to-date world events. Stay cautious until the long-term data are optimistic.
12/12
By the way, feel free to share any of this on other platforms (Mastodon, Discord, TikTok, Myspace, or even Facebook) and with family/friends. I tried to annotate the figures in a way that it would be relatable to a general audience. Where I failed, ask questions.
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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/
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