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I once had a meditation teacher say before she spoke she would ask herself if her words would be:
1) Kind
2) Necessary
3) Smart
4) Said at the right time?
If every post on social media met those criteria, the world would be in a much better place.
From personal interactions on social media to public rhetoric from politicians, we all shape the world through the views we express. But how often do we stop to consider whether we're being responsible enough? If the seeds we sow in the minds of others are seeds of hatred and violence, or seeds of compassion and reconciliation?
Watch the full interview on HODO STATION, for the Japanese tv channel @tv_asahi_news: bit.ly/YNH-HODO (recorded on 19 October 2023)
AreDeeSquared retweeted
87% of Jewish, 82% of Muslim, and 63% of all students felt concerned expressing their beliefs on campus, with 65% of Jewish students reporting that they felt concerned often. At an institution allegedly dedicated to inclusivity every one of these numbers is unacceptably high. 6/
AreDeeSquared retweeted
Tariffs may still feel abstract to many, so let me share something tangible to help everyone better understand the gravity of the situation.
We employ 50 people at our Canadian cannery. A significant portion of our business is with US customers. For decades, we’ve operated under free trade and structured our business accordingly.
Food canning is highly competitive, and we operate on thin profit margins.
From March 4 to March 7, a 25% tariff was imposed on Canadian imports to the US. For shipments during just this short period, our customers were taxed a combined total of $26,632.12 USD. We've offered to absorb these costs to maintain our customer relationships for now.
This arrangement isn't sustainable. 25% is simply too high of a tariff to absorb on an ongoing basis. If these tariffs persist, we risk losing a substantial—and the most profitable—portion of our business.
Unless we make up for these losses in the Canadian market, it will lead to significant job losses and could even put us out of business completely.
That's why we're urgently appealing to Canadian retailers: please list our products and other products made by Canadian food manufacturers affected by these tariffs. Do it now, please!
We must swiftly respond to this economic warfare to protect Canada’s domestic food and beverage manufacturing industry. This is a matter of food sovereignty and security. We are being attacked!
Canadian customers, please ask your local managers to list more Canadian products in place of US products. This is urgent!
AreDeeSquared retweeted
Draconian cuts at the National Science Foundation, which at a tiny ~0.1% of the budget funds most US scientific research. It will kill research in the US, making it a technology backwater instead of a beacon for the world's brightest. Incomprehensibly stupid.
AreDeeSquared retweeted
Got a chance to speak to @CityNewsTO about a big wave of Flu cases, with the effect being felt across North America. It is impacting elderly and young children the most, who are filling hospital beds.
Firstly, Flu (with a capital F) is not a cold. A cold is a runny nose, mild sore throat and you're fine in a couple of days. Flu (influenza virus) gives you the feeling you've been hit by a truck. High fevers, severe fatigue, body aches, lasting up to 5-7 days.
What can you do to prevent it?
Get the Flu shot, it is fairly well matched this year. This will usually protect you for about 3-4 months. Wear a mask in crowded indoor spaces like the bus, train or plane. If you're sick, don't go to work and infect everyone. if you have to go out while sick, wear a mask.
When should you go to hospital?
If you can't catch your breath, can't eat or drink anything, are sleeping too much/all the time, can't walk or stand or do the basics at home. We admit a lot of people to rehydrate them with IV fluids, sometimes supportive care with oxygen, and usually they recover in a few days. Elderly (>65) and kids (<5) are most prone to severe illness, so important to get the booster every year.
What to watch for
It is fairly common to develop bacterial infections after the initial viral infection, as your immune system is softened up. This includes throat (strep), ear and lung infections (pneumonia). So if you recover after a week of misery, and then find yourself with high fevers again, get checked out for bacterial infections.
AreDeeSquared retweeted
⚠️This week may have been my last full update post on current infection numbers and trends.
Why?
The new administration may pause all public reports of federal health data from FDA, CDC, DHS, according to this article.
AreDeeSquared retweeted
New RCT study shows the "conventional" Novavax COVID vaccine has a similar side effect profile to the routine meningococcal vaccine, and fewer side effects than the mRNA options.
Side effects are a leading cause of COVID vaccine hesitancy. This can help.
AreDeeSquared retweeted
A new study shows that SARS-CoV-2 infection causes vascular dysfunction due to the modification of endothelial cell elasticity.
The results for the first time show that SARS-CoV-2 infection directly changes endothelial elasticity and causes endothelial dysfunction. 1/
AreDeeSquared retweeted
1st study found Covid risk was flight duration-dependent, 25x on long vs short flights, inconsistent with boarding and deplaning being higher risk than inflight. “each hourly increase in flight duration increased the incidence rate by 1.53-fold.”
(1/2)
news-medical.net/news/202405…
AreDeeSquared retweeted
'Mind boggling' surge in pneumonia cases among children, teens and young adults ottawacitizen.com/news/local… via @ottawacitizen
AreDeeSquared retweeted
Did anyone notice that the CDC just modified their dashboard to make Covid transmission look lower?
The underlying data are identical. However, the Y axis is rescaled to make everything seem lower.
cdc.gov/nwss/rv/COVID19-nati…

ALT Comparison of the graphs of data posted Friday versus today. These should be the same exact data. However, the graphs today are mainly corrected downward, especially the current lull and the spring lull. I thought they may be renormalizing or correcting the data, but it's unusual to see this mid-week. They update the data on Fridays. I checked the numbers from my most recent download versus those in the graph and current download. The data are the same. They have shifted the Y axis to make things look lower.
PMC COVID-19 Forecasting Model, Nov 18, 2024
Here's our year-over-year graph of U.S. Covid transmission with 1-month forecast.
I'm going to walk you through why 2024 is atypical and 4 realistic scenarios for the winter.
Atypical Transmission in 2024
Our model predicts forward transmission based on two main components: 1) Historical median levels of transmission for a particular day of the year, and 2) the last 4 weeks of transmission patterns, which maps current transmission to the "usual" shape of waves to project forward.
2024 has shown atypical departures from these model assumptions in several respects:
🔹Summer wave later than typical
🔹Summer peak flatter than usual
🔹Summer wave coinciding with back-to-school
🔹Back-to-school meaning more children infected, meaning the peak shown is an underestimate, as wastewater underestimates transmission in kids
🔹Atypically steep decline in transmission
🔹Atypically later lull
All of this creates a lot more uncertainty surrounding the size and shape of the winter wave, in my view. Last year, transmission mostly tracked the median, typically a touch higher, so the anticipated picture of the winter wave was more certain, even in early November. This winter is more uncertain.
Here, I describe 4 realistic scenarios.
Scenario 1: The Model Holds Strong. Transmission picks up quite rapidly (as shown in the dashed line), catching up, or reverting toward the median of prior years. The wave looks similar to the median or perhaps Y3 (yellow line). It peaks around 1.3-1.5 million daily infections and has more transmission on the back end of the peak than leading into the peak, just like prior waves.
Scenario 2: Best Case. The wave picks up a little more slowly than shown and peaks lower (1 million/day at peak). The shape of the wave is similar, just smaller. This is still a very bad scenario, but good in the relative sense that it could have been much worse. Lots of suffering, but much less than last year.
Scenario 3: Bad Back-to-School. The peak hits somewhere in between #1 and #2 (1.0-1.3 million daily infections), but the total number of infections remains high due to prolonged high transmission, like with the recent summer wave. This would be troubling in that transmission would be very high during back to school. A subset of children just infected in August might get reinfected and experience bad outcomes.
Scenario 4: The Jelly Roll. Dr. Eastman (@jlerollblues) has a very nice highly-granular model that makes much fewer assumptions surrounding the day of the year. You can see a preview here:
teapawt.net/AnciraBecky/status/185…
It suggests a peak about a week later than PMC's estimate of New Year's Eve, but with limited increase in transmission throughout much of December. Think: cool, cool, cool, HOT.
Each of these scenarios seem reasonable. I lean toward #3. Right now, our so-called "1-month" forecast is actually nearly a 6-week forecast because the wastewater data are being reported so slowly and with such sizable retroactive corrections. The model will update as new data come in, and we will have a better sense of the scenario around December 1. By December 15, that will be even clearer. I encourage people to think through each of the scenarios and implications for travel, family gatherings, and back-to-school precautions, especially given so much uncertainty.
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 (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_For…
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.
We will have a pre-print out in the next month or two documenting very compelling evidence for the validity of using wastewater to estimate case rates.
AreDeeSquared retweeted
PMC COVID-19 Forecasting Model, Nov 18, 2024
Here's our year-over-year graph of U.S. Covid transmission with 1-month forecast.
I'm going to walk you through why 2024 is atypical and 4 realistic scenarios for the winter.
Atypical Transmission in 2024
Our model predicts forward transmission based on two main components: 1) Historical median levels of transmission for a particular day of the year, and 2) the last 4 weeks of transmission patterns, which maps current transmission to the "usual" shape of waves to project forward.
2024 has shown atypical departures from these model assumptions in several respects:
🔹Summer wave later than typical
🔹Summer peak flatter than usual
🔹Summer wave coinciding with back-to-school
🔹Back-to-school meaning more children infected, meaning the peak shown is an underestimate, as wastewater underestimates transmission in kids
🔹Atypically steep decline in transmission
🔹Atypically later lull
All of this creates a lot more uncertainty surrounding the size and shape of the winter wave, in my view. Last year, transmission mostly tracked the median, typically a touch higher, so the anticipated picture of the winter wave was more certain, even in early November. This winter is more uncertain.
Here, I describe 4 realistic scenarios.
Scenario 1: The Model Holds Strong. Transmission picks up quite rapidly (as shown in the dashed line), catching up, or reverting toward the median of prior years. The wave looks similar to the median or perhaps Y3 (yellow line). It peaks around 1.3-1.5 million daily infections and has more transmission on the back end of the peak than leading into the peak, just like prior waves.
Scenario 2: Best Case. The wave picks up a little more slowly than shown and peaks lower (1 million/day at peak). The shape of the wave is similar, just smaller. This is still a very bad scenario, but good in the relative sense that it could have been much worse. Lots of suffering, but much less than last year.
Scenario 3: Bad Back-to-School. The peak hits somewhere in between #1 and #2 (1.0-1.3 million daily infections), but the total number of infections remains high due to prolonged high transmission, like with the recent summer wave. This would be troubling in that transmission would be very high during back to school. A subset of children just infected in August might get reinfected and experience bad outcomes.
Scenario 4: The Jelly Roll. Dr. Eastman (@jlerollblues) has a very nice highly-granular model that makes much fewer assumptions surrounding the day of the year. You can see a preview here:
teapawt.net/AnciraBecky/status/185…
It suggests a peak about a week later than PMC's estimate of New Year's Eve, but with limited increase in transmission throughout much of December. Think: cool, cool, cool, HOT.
Each of these scenarios seem reasonable. I lean toward #3. Right now, our so-called "1-month" forecast is actually nearly a 6-week forecast because the wastewater data are being reported so slowly and with such sizable retroactive corrections. The model will update as new data come in, and we will have a better sense of the scenario around December 1. By December 15, that will be even clearer. I encourage people to think through each of the scenarios and implications for travel, family gatherings, and back-to-school precautions, especially given so much uncertainty.
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 (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_For…
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.
We will have a pre-print out in the next month or two documenting very compelling evidence for the validity of using wastewater to estimate case rates.
Nov to January Forecast 2024-25
Model by @jlerollblues
Dr. Joe Eastman
AreDeeSquared retweeted
The time to prepare for a pandemic is not when it arrives, but in the quiet moments when no one believes it will.
AreDeeSquared retweeted
#Ottawa SARS-CoV-2 wastewater trends as of: November 03. Pandemic highlighting past year (A), blue line is weekly average; Past year highlighting last 2 months (B); Past 2 months (C), inferred case incidence (D), and Reff (E) determined with github.com/phac-nml-phrsd/er…
AreDeeSquared retweeted
#Ottawa virus wastewater trends as of: November 03. Polyline = 7 day average normalized signal.
AreDeeSquared retweeted
PMC COVID-19 Forecasting Model, Nov 11, 2024
We're starting to get out 1st glimpse of the shape of the winter wave.
🔸Expected transmission a month from now: 1.3 million daily infections
🔸Best-case: 0.7 million daily infections
🔸Worst-case: 1.8 million daily infections
There's nothing in the data yet to suggest the winter will be markedly different from last year, which is very bad news. Within 3 weeks, we'll have a much better sense of what path we're on and what the peak of the wave may look like, likely around NYE.
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 (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_For…
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.
AreDeeSquared retweeted
🚨🚨🚨Dr. Morgane Bomsel found that whole SARS2 persists in Megakaryocytes(MKs) to infect platelets several years after acute infection in at least a third of patients with Long Covid. Infected MKs proliferate as reservoir for SARS-Cov-2 🚨🚨🚨
polybio.org/fall-2024-sympos…
AreDeeSquared retweeted
Link between COVID-19 and long-term risk of autoimmune and autoinflammatory connective tissue disorders
The study suggests that long-term monitoring and patient management are crucial after COVID-19.
news-medical.net/news/202411…
AreDeeSquared retweeted
Wastewater study finds masks prevent COVID-19 in schools
healio.com/news/primary-care…
AreDeeSquared retweeted
Long COVID can cause over 200 symptoms, and a positive COVID-19 test is not required for diagnosis.
Higher risk for severe Long COVID outcomes includes being female, unvaccinated, having preexisting conditions, or smoking.
nationalacademies.org/news/2…


































