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.

• • •

Missing some Tweet in this thread? You can try to force a refresh
 

Keep Current with Mike Hoerger, PhD MSCR MBA

Mike Hoerger, PhD MSCR MBA Profile picture

Stay in touch and get notified when new unrolls are available from this author!

Read all threads

This Thread may be Removed Anytime!

PDF

Twitter may remove this content at anytime! Save it as PDF for later use!

Try unrolling a thread yourself!

how to unroll video
  1. Follow @ThreadReaderApp to mention us!

  2. From a Twitter thread mention us with a keyword "unroll"
@threadreaderapp unroll

Practice here first or read more on our help page!

More from @michael_hoerger

Jan 6
1) PMC COVID-19 Dashboard, Jan 6, 2025 (U.S.)

📈1 in 49 people actively infectious
🔥Nearly 1 million daily infections
🎲About a 50-50 chance someone has COVID in a large class if typical risk and no testing/isolating
🏥300,000+ new Long Covid conditions per week

The infections are likely minor underestimates. AZ and OR did not report this week. They were surging, so the lack of data brings down the average. As well, the model gives 80% weight to CDC wastewater data and 20% weight to Biobot, but Biobot took the week off, so this is dependent on observed changes in the CDC data.

It would be wise to add multiple imputation into the model to account for all the non-random missingness during surges, but I won't likely get to that anytime soon.

The peak is looking more and more like 1.4 million daily infections, but I wouldn't be surprised if it's earlier than shown and more like 1.3 million, based on the pattern of retroactive data corrections last winter. If the real-time data really stink, it could come in closer to 1.0-1.1 million. To top 1.6 million, we would probably need some serious immune escape that at present I just don't see happening. However, in past winters, transmission was declining nationally in early/mid January, and back-to-school is a wild card.

Info for new readers:

For those unfamiliar with the PMC model, find full weekly reports for the past 1.5 years at pmc19.com/data

The models combine data from IHME, Biobot, and CDC to use wastewater to estimate case levels (r = .93 to .96) and forecast levels the next month based on typical levels for that date and recent patterns of changes in transmission the past 4 weeks. Our work has been cited in top scientific journals and media outlets, which are fully sourced in a detailed technical appendix at pmc19.com/data/PMC_COVID…

Examples include JAMA Onc, JAMA-NO, BMC Public Health, Time, People, TODAY, the Washington Post, the Institute for New Economic Thinking, Salon, Forbes, the New Republic, Fox, CBS, NBC, and CNN. See pgs 11-13 at the above link.

We will have a pre-print out in the next week or so documenting very compelling evidence for the validity of using wastewater to estimate case rates. Forecasting is challenging in the context of the current viral evolution, but the real-time estimates of cases are impressively accurate to the best we can evaluate it.

#MaskUp #VaxUp #CleanTheAir #RapidTestCurrent Levels for Jan 6, 2025 % of the Population Infectious 2.1% (1 in 49) New Daily Infections 980,000  New Weekly Infections 6,860,000  Resulting Weekly Long COVID Cases 343,000 to 1,372,000  Monthly Forecast Average % of the Population Infectious 2.7% (1 in 38) Average New Daily Infections 1,272,833 New Infections During the Next Month 38,185,000 Resulting Monthly Long COVID Cases 1,909,000 to 7,637,000  Running Totals Infections Nationwide in 2025 5,468,000 Average Number of Infections Per Person All-Time, U.S. 3.55  How Does Risk Increase with More Social Contacts? Number of people |...
2) PMC COVID-19 Dashboard, Jan 6, 2025 (U.S.)

We're in the 10th wave of the pandemic (1st graph), and transmission this year has picked up atypically late, while coming on strong (2nd graph).Two graphs, summarized in tweet
3) PMC COVID-19 Dashboard, Jan 6, 2025 (U.S.)

Note that sputtering in the West's rise is likely an aberration, as surging OR and AZ did not provide data this week.

Read 5 tweets
Jan 3
📢Clean Air Advocates📢

I recently learned of a new strategy to get more clean indoor air to people's homes. I don't believe I've heard anyone mention this on here, but please add if you have made inroads.
1/
Last August, I was surprised to learn that Entergy, our regional energy company, was giving away free HEPA filters to customers.

This was surprising to me. Why would an energy company do this?
2/
Apparently, most jurisdictions in the U.S. have regulations that require a portion of consumers' energy payments to go toward an energy efficiency fund.

These are often used for discounts on thermostats but occasionally for Energy Star appliances.
3/
Read 4 tweets
Dec 20, 2024
2) This is one of the better scenarios I noted, with national levels coming in at about 3.33. Unfortunately, the rise was a little lower than anticipated only because transmission slowed in the west. Not uniform, so lots of uncertainty.

3) Transmission remains much higher than people realize. Many will get caught off guard by a seemingly #SilentSurge. This is in part because the CDC spent the past month downplaying numbers in misleading graphs.

Read 8 tweets
Dec 16, 2024
PMC COVID-19 Dashboard, Dec 16, 2024
🧵1 of 8

🔹1 in 64 (1.6%) actively infectious in the U.S.
🔹750,000 new daily infections and rising
🔹Highest % increase in transmission in nearly 3 years
🔹10th wave is the "silent surge," coming on late out of nowhere

The video will walk you through each of the graphs on the dashboard and covered in this thread.

Info for new readers:

For those unfamiliar with the PMC model, find full weekly reports for the past 14+ months at pmc19.com/data

The models combine data from IHME, Biobot, and CDC to use wastewater to estimate case levels (r = .93 to .96) and forecast levels the next month based on typical levels for that date and recent patterns of changes in transmission the past 4 weeks.

Our work has been cited in top scientific journals and media outlets, which are fully sourced in a detailed technical appendix at pmc19.com/data/PMC_COVID…

Examples include JAMA Onc, JAMA-NO, BMC Public Health, Time, People, TODAY, the Washington Post, the Institute for New Economic Thinking, Salon, Forbes, the New Republic, Fox, CBS, and NBC. See pgs 11-13 at the above link.

We will have a pre-print out in the next month documenting very compelling evidence for the validity of using wastewater to estimate case rates. Forecasting is challenging in the context of the current viral evolution, but the real-time estimates of cases are impressively accurate to the best we can evaluate it.
PMC COVID-19 Dashboard, Dec 16, 2024
🧵2 of 8

🔹10th wave taking off (U.S.)
🔹5 million infections expected this week
🔹>250,000 post-infection conditions (#LongCovid) expected to develop from this week's infections
🔹Higher transmission than 73% of the pandemic

Info for new readers (as noted in Tweet 1):

For those unfamiliar with the PMC model, find full weekly reports for the past 14+ months at pmc19.com/data

The models combine data from IHME, Biobot, and CDC to use wastewater to estimate case levels (r = .93 to .96) and forecast levels the next month based on typical levels for that date and recent patterns of changes in transmission the past 4 weeks.

Our work has been cited in top scientific journals and media outlets, which are fully sourced in a detailed technical appendix at pmc19.com/data/PMC_COVID…

Examples include JAMA Onc, JAMA-NO, BMC Public Health, Time, People, TODAY, the Washington Post, the Institute for New Economic Thinking, Salon, Forbes, the New Republic, Fox, CBS, and NBC. See pgs 11-13 at the above link.

We will have a pre-print out in the next month documenting very compelling evidence for the validity of using wastewater to estimate case rates. Forecasting is challenging in the context of the current viral evolution, but the real-time estimates of cases are impressively accurate to the best we can evaluate it.Current Levels for Dec 16, 2024 % of the Population Infectious 1.6% (1 in 64) New Daily Infections 748,000  New Weekly Infections 5,236,000  Resulting Weekly Long COVID Cases 262,000 to 1,047,000  Monthly Forecast Average % of the Population Infectious 2.5% (1 in 41) Average New Daily Infections 1,178,167 New Infections During the Next Month 35,345,000 Resulting Monthly Long COVID Cases 1,767,000 to 7,069,000  Running Totals Infections Nationwide in 2024 242,424,000 Average Number of Infections Per Person All-Time, U.S. 3.50  There is more COVID-19 transmission today than during 73.3% of th...
PMC COVID-19 Dashboard, Dec 16, 2024
🧵3 of 8

Areas of the U.S. depicted in darker red have higher transmission, as of 9 days ago. The map uses CDC data and is simply the CDC "cool blue" map recolored in more traditional red, which is best practices.

The line graph shows transmission increasing by region.

CDC map:
cdc.gov/nwss/rv/COVID1…

CDC regional graph:
cdc.gov/nwss/rv/COVID1…

Info for new readers (as noted in Tweet 1):

For those unfamiliar with the PMC model, find full weekly reports for the past 14+ months at pmc19.com/data

The models combine data from IHME, Biobot, and CDC to use wastewater to estimate case levels (r = .93 to .96) and forecast levels the next month based on typical levels for that date and recent patterns of changes in transmission the past 4 weeks.

Our work has been cited in top scientific journals and media outlets, which are fully sourced in a detailed technical appendix at pmc19.com/data/PMC_COVID…

Examples include JAMA Onc, JAMA-NO, BMC Public Health, Time, People, TODAY, the Washington Post, the Institute for New Economic Thinking, Salon, Forbes, the New Republic, Fox, CBS, and NBC. See pgs 11-13 at the above link.

We will have a pre-print out in the next month documenting very compelling evidence for the validity of using wastewater to estimate case rates. Forecasting is challenging in the context of the current viral evolution, but the real-time estimates of cases are impressively accurate to the best we can evaluate it.Map shows highest transmission in Arizona, New Mexico, Minnesota, and Massachusetts.  Estimated Percentage Actively Infectious  	PMC Model		Raw CDC Data (9 days old) National	1.6% (1 in 64)		0.9% (1 in 113) Northeast	0.8% (1 in 132)		0.4% (1 in 234) Midwest	2.4% (1 in 41)		1.4% (1 in 73) South	1.3% (1 in 74)		0.8% (1 in 132) West	1.5% (1 in 66)		0.9% (1 in 118)
Read 8 tweets
Oct 22, 2024
PMC COVID-19 Forecasting Model, Oct 21, 2024
🧵1 of 4

Every indication is that the 10th U.S. Covid wave is on the way. Within 2 weeks, expect transmission to be meaningfully higher.

Current estimates from PMC:
🔹1 in 115 actively infectious
🔹Higher transmission than during 43% of the pandemic
🔹Nearly 3 million weekly infections

These estimates are high in the absolute sense, but low relative to the recent summer wave and likely winter surge.

The CDC data show transmission increasing in the Northeast, and a slowing of the decline in transmission elsewhere. Biobot data also show flattening transmission. The raw CDC and Biobot wastewater data are delayed >1 week. Walgreens shows positive cases, testing, and positivity ratios flattening and is delayed only 1 day.

For those unfamiliar with the model, find full weekly reports for the past 14+ months at pmc19.com/data

The models combine data from IHME, Biobot, and CDC to use wastewater to estimate case levels (r = .93 to .96) and forecast levels the next month based on typical (median) levels for that date and recent patterns of changes in transmission the past 4 weeks.

Our work has been cited in top scientific journals and media outlets, which are fully sourced in a detailed technical appendix at pmc19.com/data/PMC_COVID…

Examples include JAMA Onc, JAMA-NO, BMC Public Health, Time, People, TODAY, the Washington Post, the Institute for New Economic Thinking, Salon, Forbes, the New Republic, Fox, CBS, and NBC. See pgs 10-11 at the above link.GRAPH Shows forecasted entry into a 10th Covid wave.  TABLES Current Levels for Oct 21, 2024 % of the Population Infectious 0.9% (1 in 115) New Daily Infections 414,000  New Weekly Infections 2,898,000  Resulting Weekly Long COVID Cases 145,000 to 580,000  Monthly Forecast Average % of the Population Infectious 1.3% (1 in 76) Average New Daily Infections 627,600 New Infections During the Next Month 18,828,000 Resulting Monthly Long COVID Cases 941,000 to 3,766,000  Running Totals Infections Nationwide in 2024 225,097,000 Average Number of Infections Per Person All-Time, U.S. 3.46  How Does ...
PMC COVID-19 Forecasting Model, Oct 21, 2024
🧵2 of 4

These graphs show the forecast for changes in transmission over the next month.

The first graph shows year-over-year transmission. The 2nd focuses on the most recent year. Within a month, expect to see 0.7 to 1.0 million daily infections, if the assumptions of the model hold.

If lucky, we could get a slightly longer "lull" than what the model shows. The model likely underestimates the true value for the recent summer peak because many children were infected while going back to school, in fact, the highest peak at that time period all-time. Wastewater underestimates child infections ("contributions" correlate highly with body weight, so it takes four ill 50 lb kids to show up as one ill 200 lb adult). In underestimating the peak, transmission also fell more rapidly than anticipated post-peak. To the extent we underestimated the magnitude of the peak, there may be fewer than anticipated infections the next two weeks and a longer lull.

If you look at the first graph, however, you will see a clear patterns of escalating transmission in November, so it's more a matter of how quickly the situation will worsen than whether it will worsen.

During this relative "lull," it's an excellent time to stock up on high-quality masks, get vaccinated, upgrade the quality and quantity of air cleaners, re-stock on rapid tests, and encourage others to do the same.Two graphs, described in Tweet.
PMC COVID-19 Forecasting Model, Oct 21, 2024
🧵3 of 4

Regional differences suggest that the NE may already be rebounding in transmission. Transmission declines are slowing elsewhere.

We compare the PMC map in standard red against the CDC map using the same data in cool blue.Estimated Percentage Actively Infectious* National	0.9% (1 in 115) Northeast	1.0% (1 in 101) Midwest	0.9% (1 in 114) South	0.8% (1 in 130) West	0.9% (1 in 106)
Read 4 tweets
Oct 7, 2024
PMC COVID-19 Forecasting Model, Oct 7, 2024
🧵 1/4

540,000 daily infections during the "lull" between the 9th & 10th U.S. Covid waves.

🔹1.1% (1 in 88) actively infectious
🔹19 million anticipated infections the next month
🔹Higher transmission than half the pandemicGraph: 10 waves of the pandemic  Tables/stats: Current Levels for Oct 7, 2024 % of the Population Infectious 1.1% (1 in 88) New Daily Infections 541,000  New Weekly Infections 3,787,000  Resulting Weekly Long COVID Cases 189,000 to 757,000  Monthly Forecast Average % of the Population Infectious 1.3% (1 in 74) Average New Daily Infections 643,433 New Infections During the Next Month 19,303,000 Resulting Monthly Long COVID Cases 965,000 to 3,861,000  Running Totals Infections Nationwide in 2024 220,311,000 Average Number of Infections Per Person All-Time, U.S. 3.44  How Does Risk Increase wi...
PMC COVID-19 Forecasting Model, Oct 7, 2024
🧵 2/4

Year-over-year, we have seen the steepest drop in transmission all-time on the back end of a summer/fall wave.

Similar transmission the next month, a very high lull. Expect transmission to accelerate in mid-Nov.Two graphs  Year-over-year transmission. A very high late-summer wave, the highest all-time during Aug/Sep, followed by the steepest decline on the back of a summer wave, all-time.   Forecast. Note similar transmission over the next month, 40-60% of the summer wave's peak. Expect transmission to pick up considerably in mid-Nov in anticipation of a winter surge peaking around New Year's Eve
PMC COVID-19 Forecasting Model, Oct 7, 2024
🧵 3/4

Relative to the Northeast, transmission is 2x higher in the Midwest/South & 2.5x higher in the West region.

However, the CDC regions mask extreme variation within region. The 7 highest-transmission states are far north.Map: Transmission highest in Washington state, Oregon, Montana, Minnesota, Vermont, New Hampshire, and Maine.   Line Graph: Shows the regional statistics summarized in tweet.
Read 4 tweets

Did Thread Reader help you today?

Support us! We are indie developers!


This site is made by just two indie developers on a laptop doing marketing, support and development! Read more about the story.

Become a Premium Member ($3/month or $30/year) and get exclusive features!

Become Premium

Don't want to be a Premium member but still want to support us?

Make a small donation by buying us coffee ($5) or help with server cost ($10)

Donate via Paypal

Or Donate anonymously using crypto!

Ethereum

0xfe58350B80634f60Fa6Dc149a72b4DFbc17D341E copy

Bitcoin

3ATGMxNzCUFzxpMCHL5sWSt4DVtS8UqXpi copy

Thank you for your support!

Follow Us!

:(