Mike Hoerger, PhD MSCR MBA Profile picture
Nov 13, 2022 13 tweets 8 min read Read on X
New article in @JAMANetworkOpen provides critical data on the long-term trajectory of COVID-19 symptoms.

Lots of bad news. 😕
Very bad news for ppl w/cancer or bad acute case of COVID. 😬
Also, a few rays of hope. 🌞
#LongCOVID #COVIDcancer

1/12
jamanetwork.com/journals/jaman… Title and graph, journal ar...
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 Symptom table. Acute sympto...
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 Table shows the percentage ...
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 Table mark up emphasizes on...
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 Table on long-term persiste...
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 Manually combining data fro...
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 Graph: Number of COVID symp...
Older adults, women, and ppl w/>5 acute symptoms were more likely to have persistent #COVID symptoms at 1 year.

A history of #cancer predicted prolonged symptoms. #COVIDcancer

Higher BMI = more persistent symptoms. Bad for the U.S.

8/12 Fully adjusted model examin...
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 Crude analytic model attemp...
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. 🤔

#COVIDcancer
10/12 Subgroup analyses show that...
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 Authors' conclusions from t...
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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More from @michael_hoerger

Aug 12
PMC COVID Dashboard, August 11, 2025 (U.S.)

The CDC says transmission is heating up.

"Very High" (3)
🔺Guam
🔺Hawai'i
🔺Louisiana

"High" (12)
🔺Alabama
🔺Alaska
🔺California
🔺Colorado
🔺Delaware
🔺Florida
🔺Indiana
🔺Mississippi
🔺Nevada
🔺S. Carolina
🔺Texas
🔺Utah

🧵1/12Heat map from CDC data. High/Very high states noted in post
Transmission is highest in these regions. Graphics note the CDC levels and PMC prevalence estimates.

🔥Louisiana (Very High): 1 in 19 actively infectious
🔥Guam (Very High): 1 in 26
🔥Hawai'i (Very High): 1 in 28
🔥Texas (High): 1 in 45

🧵2/12 Graphics show heat maps and prevalence estimates, noted in the post
Statewide transmission remains "High" in Florida, according to the CDC. PMC estimates 1 in 50 actively infectious.

Several cities report "Very High" transmission. Several sites are offline.

🧵3/12 Heat map and prevalence estimate noted in the post
Read 12 tweets
Jul 29
PMC COVID Dashboard, July 28, 2025 (U.S.)
🧵1/12

PMC estimates 400,000 new daily infections. 1 in 118 people actively infectious.

Weekly stats:
🔹2.8 million infections (>40x reported cases)
🔹>140,000 resulting #LongCOVID cases
🔹>1,000 resulting excess deaths Heat map Very High: Louisiana, Guam High: Hawai'i, Florida
PMC COVID Dashboard, July 28, 2025 (U.S.)
🧵2/12

Please excuse any typos and delays. Any time Mimal's boot turns deep red, we're doing local outreach in addition to dashboard work, etc.

If you don't know Mimal yet, you won't be able to unsee them.
es.wikipedia.org/wiki/MIMALDeep red boot = Louisiana
Minnesota (M), Iowa (I), Missouri (M), Arkansas (A), Louisiana (L) = Mimal  Louisiana is the boot.   Sometimes depicted with Kentucky fried chicken on a Tennessee pan.
PMC COVID Dashboard, July 28, 2025 (U.S.)
🧵3/12

It's HOT COVID SUMMER in the Deep South. No geographic/political prejudices, see next.

Covid is burning through Guam, Louisiana, Florida, and Texas (underestimate due to sites down). Louisiana: 1 in 32, Very High (CDC)
Texas: 1 in 98, Moderate (underestimate, CDC)
Guam: 1 in 25, Very High (CDC)
Florida: 1 in 59, High (CDC)
Read 12 tweets
Jul 25
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... Up: Midwest, Northeast Down: West, South
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

Of course, temporarily better often means...
Read 6 tweets
Jul 21
1. PMC COVlD Dashboard, July 21, 2025 (U.S.)

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) Heat map, summarized in post
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 CA map with stat summarized in post
NV  map with stat summarized in post
HI  map with stat summarized in post
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). SC map and stat noted in post
LA map and stat noted in post
FL map and stat noted in post
TX map and stat noted in post
Read 12 tweets
Jul 15
1) PMC COVlD Dashboard, July 14, 2025 (U.S.) 🧵

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. Figure shows each wave of the pandemic.   Tables: Current Levels for Jul 14, 2025	 % of the Population Infectious	 0.7% (1 in 148)	 New Daily Infections	 324000	 New Weekly Infections	 2268000	 Resulting Weekly Long COVID Cases	 113,000 to 454,000	 Resulting Weekly Excess Deaths	 800 to 1,300	 	 Monthly Forecast	 Average % of the Population Infectious	 1.3% (1 in 80)	 Average New Daily Infections	 598766.6667	 New Infections During the Next Month	 17963000	 Resulting Monthly Long COVID Cases	 898,000 to 3,593,000	 Resulting Monthly Excess Deaths	 6,400 to 10,700	 	 Running Totals	 Infection...
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. Graph of year over year transmission. The current year (red) is tracking the path of two years ago (yellow) extremely closely. Two years ago, the peak was around September 1, at about 1 million daily estimated infections, and significantly higher than the Delta wave (blue).
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.Graph shows national transmission expected to increase the next several weeks.
Read 11 tweets
Jul 2
🌍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/ World map, countries with high-quality up-to-date surveillance systems shown in blue.
The Pandemic Mitigation Collaborative (PMC) Dashboard provides weekly COVID updates for the U.S., using wastewater surveillance derived case estimation models and analytic forecasting.

We have added a list of international dashboards:
🧵 2/
pmc19.com/data/index.php…Australia: NSW Health Australia Department of Health, Western Australia Austria: Federal Government of Austria City of Vienna - Regional Coron-A Consortium Austria Czech Republic: State Health Institute Czech Republic Belgium: Belgian Institute for Health Canada: Government of Canada Andrew Young's Canada Visualization C19 Resources Canada * World Health Network (WHN) Canada **
Denmark: Statens Serum Institut Denmark Europe (multi-national): EU Wastewater Observatory Finland: National Institute for Health and Welfare Finland WHN Finland ** France: French Republic Data Airborne Risk Reduction Association (ARRA) France Zan Armstrong's France Visualization COVID Weather App France (Android, IOS, or Web) Thomas Delattre's France Visualization Germany: Infection Radar Germany Bay-VOC Bavaria Region Berlin Waterworks WHN Germany **
Hong Kong: Centre for Health Protection, Hong Kong Hungary: National Center for Public Health and Pharmacy of Hungary India: Pune Knowledge Cluster of India Gujarat Biotechnology Research Centre of India Ireland: Health Protection Surveillance Centre Ireland Japan: Japan Institute for Health Security Latvia: Institute of Food Safety, Animal Health and Environment Latvia Lithuania: National Public Health Centre of Luthuania Luxembourg: Microbs Luxembourg Netherlands: National Institute for Public Health and the Environment Netherlands WHN Netherlands ** New Zealand: New Zealand Institute for...
Slovenia: National Institute of Public Health Slovenia Spain: Government of Catalonia - Regional South Africa: National Institute for Communicable Diseases of South Africa South Korea: Korea Disease Control and Prevention Agency Sweden: Pathogens Sweden Switzerland: Swiss Confederation Federal Office of Public Health ETH Zurich Switzerland WISE Dashboard U.K.: Public Health Scotland Buckinghamshire Disability Service (BuDS) U.K.  *See the numbers 1-21 along the lower left. Click on 3-6 for national and regional data. ** Click on the dropdown menu. May need to try a different web browser.
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/
Read 43 tweets

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