66% of adults had at least 1 symptom during the acute phase (first 2 months) of diagnosis of #COVID-19.
Iāve 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%), itās 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 authorsā BLACK text.
Iāve also added a column with the chances a symptom persists (ORANGE text). Balanced framing. š
5/12
Now, letās manually combine the acute (<2 month), near-term (>2 month), and long-term (>1yr) #COVID data into one figure. Silly JAMA. š
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. š¤
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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š¹2.2 million weekly infections
š¹1 in 149 actively infectious
š¹>100,000 LC cases resulting from the week's infections
š¹>800 deaths resulting from the week's infections
š¹"Lull" transmission steady/slightly declining
š§µ2/5 | PMC Dashboard, Apr1il 14, 2025 (U.S.)
Year-over-year transmission (red line, lower left) is tracking the median (grey), year 4 (yellow), and year 5 (orange) closely.
If that trend continues, expect steady yet bumpy transmission the next couple months, until June/July.
š§µ3/5 | PMC Dashboard, Apr1il 14, 2025 (U.S.)
The heat map shows only 4 states in the CDC 'high' level and none in the 'very' high level.
Check local data. Those timing activities to lulls may see a clear opportunity.
The NIH Clinical Center drops universal masking after 5 months of protecting patients, family, & staff.
Wastewater-derived estimates indicate 2.79 million Americans are getting Covid per week AND top actuaries suggest an American dies of Covid every 3 minutes.
š¹1 in 120 actively infectious
š¹1 in 3 chance of exposure in a room of 50
š¹2.8 million weekly infections
š¹>140,000 resulting LC cases from the week's infections
š¹>1,000 deaths resulting from the week's infections
2) Watch this video to understand how we use excess death data from one of the world's largest reinsurers to estimate how this week's infections will result in >1,000 deaths.
š¹800-1,400 deaths expected to result from this week's infections (new stat, see video next Tweet)
š¹100,000+ Long Covid conditions to result from this week's infections
š¹1 in 142 actively infectious today
š§µ2 of 5
PMC Dashboard, March 31, 2025 (U.S.)
This video explains U.S. COVID excess death statistics, which we have incorporated into the dashboard.
š„109,000-175,000 people in the U.S. are expected to die as a result of COVID in 2025, based on estimates derived from Swiss Re
š„COVID deaths expected to be on par with lung cancer in the U.S. in 2025
š„Death data added to the dashboard
2) Full video links to learn more about COVID #ExcessDeaths in the U.S.
š¹3 million new weekly infections in a persistent "lull" of substantial transmission
š¹1 in 107 (0.9%) of the population actively infectious
š¹1 in 3 regions in high/very high transmission (16 states and DC)
PMC Dashboard, Mar 24, 2025 (U.S.)
š§µ2/5
We have had a steady state of about a half million infections the past several weeks. That's over 50 million estimated infections so far in 2025.
In a room of 40-50 people, there's a 1-in-3 chance of exposure if no testing/isolation.
PMC Dashboard, Mar 24, 2025 (U.S.)
š§µ3/5
There's a good chance of steady transmission the next month. Often, we'd head into a low lull about now. BUT there are no universal precautions, immunity is waning from the fall & winter 2023-24, & viral evolution looks less 'lucky.'