"Surviving the COVID-19 Pandemic -- Things I've Learned (So Far) - 2024 Edition"
It's for my students but great for anyone who wants to better understand the state of the pandemic in the U.S. in Jan 2024.
40 mins total across 7 chapters:
Ch 1 - Intro on the Winter 2023-24 Surge and a bit on my background
Ch 2 - The public health significance of COVID-19 at present, especially focused on Long COVID
Ch 3 - SARS-CoV-2 is Airborne, and we need multi-layered mitigation
Ch 4 - Quarantine, testing, and isolation overview
Ch 5 - Masking tips
Ch 6 - Air cleaning fundamentals
Ch 7 - Vulnerability and inclusivity
VIDEO THREAD 🧵 - Clip 2 of 7
Chapter 2: COVID is NOT “A Cold or the Flu”
#LongCOVID #LongCovidKids
"Surviving the COVID-19 Pandemic -- Things I've Learned (So Far) - 2024 Edition"
I have no financial Conflicts of Interest (COIs) for any of the products or industries mentioned in passing. I intentionally do not receive ad revenue on these videos, as that could create the appearance of a potential bias.
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Transmission in the U.S. is extremely high on the back of the 2nd largest surge all-time.
🔹2.5% (1 in 40) actively infectious
🔹1.2 million infections/day
🔹>60,000 resulting daily LC cases
🔹0.8-1.3 million daily infections the next month
#LongCovid
The continued high level of transmission should give everyone pause. The PMC model estimates 1.2 daily infections currently, with plausible values from other modelers in the range of 0.8-1.4 million daily infections. In estimating resulting LC cases, we defer to publications suggesting 5-20% will experience clinically meaningful LC as a result of an infection. The most minimizing estimate I've seen is 1%, which I deem implausible, based on the literature. Nonetheless, even minimizers should assume 0.8 million daily infections, 1% resulting in LC, or 8,000 resulting daily LC cases, or 56,000/week, or approximately 240,000/month at present. Those are the "minimizer" estimates. If one assumes 5% of infections result in LC, the situation is obviously much worse (5x worse, in fact), where we are talking about 60,000 resulting LC cases per day at present.
Forecasting Nuance
Over the next month, we should see 0.8-1.3 million infections per day. Biobot has made considerable post-hoc corrections to each of the prior 3 weeks of data. This essentially moved the peak back from early January to late December, and at present suggests a slightly more precipitous decline the past few weeks than noted in real time.
The details of the forecasting models can be found in the Technical Notes section online. Reviewing the graph in the next Tweet (whole pandemic), you’ll notice that after about half the waves, instead of a straightforward decline, there is occasionally a temporary deceleration, or even a small hill. Currently, this is what the forecast is showing.
I suspect that the hill in the graphical depiction below is an artifact and we’ll head toward a more steady decline, reaching 0.8-0.9 million cases/day in a month. Why? First, the models are based on all data, not just wave-based data, and in my experience tend to be less precise in the very middle of the ascent or descent of a wave. In the 2.0 version of the forecast coming out in a few months, we will likely add complexity to the model to refine the wave phases. Second, Biobot has made huge retroactive corrections to their real-time levels in each recent report. Their current real-time level may be off, and that can throw off the models. Overall, consider that the decline in daily cases may slow, or there might be a small hill on the way, but if lucky, transmission will continue to decline a little faster than depicted. Unfortunately, my qualitative analysis of this "rosy" scenario is still quite bleak, with 800,000 daily infections a month from now.
2/8🧵
Zooming out to the full pandemic:
🔹Transmission remains higher than during 85% of the entire pandemic, i.e., not "over"
🔹We are in the 2nd-highest wave all-time
🔹There is every reason to believe similar or larger waves will recur in the future
3/8🧵
As of the week of January 22, 2024, large groups remain high risk.
Absent quarantine, testing, and serious isolation, there's about a 50% chance that at least one person would be infectious in a group of 25-30 people.
One of the biases in #PublicHealth policy is the focus on acute COVID deaths. It's a lagging indicator and only covers 1 of 5 common death trajectories.
For COVID, people imagine the upper left. Get COVID, then a quick death. 1/7
This is another common death trajectory. You see this a lot with serious cancer diagnoses.
However, you can see it with COVID too. Someone was doing well, gets COVID, and then experiences a decline over 1-2 years. It may cause or aggravate another health condition. 2/7
This is a 3rd common death trajectory, often typical of organ failure. You can see someone get COVID, and somewhere down the line it causes or aggravates organ damage.
Dips in functioning are common, often with rebounding improvement, but sometimes a steep decline. 3/7
🔹1.2-1.5 million daily U.S. infections the next month
🔹41.2 million total infections the next month
🔹66.7 million total infections over the next 2 months
These infection rates are 30% higher than a year ago. Yet, expect considerable minimizing. Many people believe that once the peak day has passed, it's smooth sailing, what I would call "Descent Neglect."
Take an analogy: More people die, supposedly, going down Mt. Everest than going up. With COVID surges, people also underestimate how bad the 2nd half of surge mountain is likely to be. They overestimate how spiky or leptokurtic a a surge tends to be. Transmission will go down gradually, meaning extremely high transmission the next 4-6 weeks especially.
This may be fueled by a misunderstanding of how quickly transmission declines, defense mechanisms to temporarily and artificially reduce anxiety, short-term political or capital interests, or a combination of these factors.
#DescentNeglect
2/7 Zooming out, see with certainty this is the 2nd biggest U.S. pandemic surge.
Today, transmission remains greater than during 90% of the pandemic.
🔹Nearly 1.5 million daily infections
🔹3% (1 in 33) actively infectious
🔹>70,000 resulting daily #LongCovid cases
3/7 Although we're waiting on an update in Canada, note how similar transmission is the U.S. and U.K. for early-to-mid January.
3% (1 in 33) of the U.S. & 3.1% (1 in 32) of the U.K. are actively infectious with COVID.
We're peaking at >2 million infections/day.
🔹1 in 23 people are actively infectious today
🔹1 in 3 people in the U.S. will be infected during the peak two months
🔹2nd biggest U.S. surge all-time
#MaskUp #VaxUp
2/ Before diving into the #Covid forecast, know that YOU can make a difference!
We will soon apply for a large research grant to help people with #cancer across the U.S. reduce their risk of negative Covid outcomes.
3/ In the U.S. Covid #surge, it's not just the peak, it's the width of the mountain.
This is the 2nd highest peak all-time, but it's also brutally long. 1 in 3 people in the U.S. will get infected during the highest two months of transmission. 43% will get infected in the highest 3 months of transmission. Forecasted dates noted.
Those 142 million infections would conservatively translate into an eventual 7 million clinically significant #LongCovid cases.
Transmission will drop considerably from early February through late March. On February 13, 2.9% of the population will be actively infectious, falling to 2.1% by February 24, 1% by mid-March, and bottoming out around 0.7% in late March. These very long-range projections are more historical medians rather than precise forecasts.
Excited to share some good news!
2023 Pandemic Mitigation Collaborative (PMC) Advocacy Awards
Five Awardees: @LauraMiers @BettyB2007 @EmAndElOrganics @luckytran @ChristinaVirgil
Top Commendation to Christina Virgil!
We wanted to acknowledge the work people are doing sharing data from the PMC Dashboard to help protect others from Covid. These five people are contributing plenty of good, well beyond just anything with the PMC, and we appreciate their hard work.
Please share your appreciation for their work. Awardees, please DM me an address in the next week if you'd like to receive a small token of appreciation. Thanks again!🙏
1/6
From the start, @LauraMiers has been a leader sharing PMC data on case rates and estimates of resulting Long Covid cases.
Someone has purchased a low-quality high-volume anti-#COVID-awareness bot farm. I've had to block 500 people the past few days. I appreciate good humor, but these bots are sub-pun-level basic, not even any fun.
These are my Top 7 tips for dealing with #bots & #trolls.
🧵
Bot Tip #1: In settings, shut off direct messaging from people you don't follow.
Bye-bye #bots & #trolls.
Bot Tip #2: In settings, shut off notifications from people who don't follow you.
This will reduce #bot & #troll notifications.
Consider other options. I prefer this over blocking notifications from people I don't follow because it could be have new follower.