COVID-19
Pandemic: We need to be smarter than China (and Italy)

**This article has been amended in light of the ongoing situation in Italy. It was originally posted to dredles.com.
Dr J Edward Les is a Pediatric Emergency Physician practicing in Calgary.
In the winter of 2017 two 17-year-olds with a 3-D printer created a little spinny thingy called the Fidget360 and promoted it on social media.
Fidget spinners quickly went viral. And because there was no patent, dozens of companies hurried to produce knockoffs.
By May of 2017 the little gadgets accounted for 17% of all online toy sales and had spun their way into every nook and cranny of the globe. Every kid I tended to in the emergency department of my hospital was spinning one of the plastic gizmos—and more often than not, so were their parents.
But then—just as quickly as it started—it was over. By September of 2017 fidget spinners had vanished, consigned to trash bins and forgotten corners of toy rooms and closets.
There’s a word we use to describe this sort of phenomenon, where something spreads quickly throughout an entire country, continent, or the whole world and affects an exceptionally high proportion of the population before burning itself out.
That word is pandemic, of course. We use it to describe massive outbreaks of disease, typically, not outbreaks of fidget spinners.
It’s a scary term—one that conjures up images of the Spanish flu, which wiped out up to 100 million people in 1918 (five percent of the world’s population); or of the bubonic plague, which ravaged the globe in the 14th century, killing half of Europe’s people and knocking the world population down to 350 million from 475 million.
Not all pandemics are as lethal as the Black Death or the Spanish flu, mind you. The H1N1 influenza pandemic of 2009, for instance, killed approximately half a million people—a big number, but roughly on par with the death toll extracted by the seasonal flu each year.
Another pandemic—COVID-19—now threatens the world. This time the viral assassin is a novel coronavirus that originated in China.
How much danger we are in remains a matter of intense debate. Death toll predictions run the gamut from the ridiculous to the obtuse, from epic eradication of mankind on the scale imagined by novelist Stephen King in The Stand, all the way to: “Nothing to see here, folks, keep calm and carry on.”
Rampant misinformation, relentless spin, and wacky thinking amplified by social media hasn’t brought clarity, suffice it say. U.S. President Donald Trump labeled the coronavirus a Democratic conspiracy. Paranoid wing-nuts blather on about Chinese bioweapons. Some people blame a vengeful God; others warn shrilly (and wrongly) of the risk of mail from China or of the danger of eating in Chinese restaurants.
I wrote about the coronavirus outbreak on February 20, seemingly an eternity ago. At the time I wasn’t overly stressed—just a bit fidgety. Twelve thousand people were infected and 250 were dead, pretty much all in the epicentre of Hubei province in China; but it seemed like a drop in the viral bucket compared to the seasonal flu, which takes out up to 600,000 people globally per year.
Plus, after initially dismissing the virus as a threat, the Chinese had reacted with unprecedented measures, locking down Wuhan and a slew of other cities, cordoning off Hubei province, shutting down mass transit, closing airports, and confining 60 million people to their homes—berating those who dared to venture outside with government drones.
It seems to have worked for the Chinese. Epidemiologic data show that the virus continued to spread post-lockdown, but primarily among families already infected pre-quarantine. Community spread was stopped in its tracks.
The number of cases in Hubei province ultimately crested at around 67,000, with 2900 dead. (Just a smattering of new cases are being reported.)
By the time the Chinese instituted their draconian quarantine measures, of course, the viral dandelion had gone to seed: infectious spores of coronavirus had already blown around the world.
Still, the worst-case scenario for Canada, I surmised, surely couldn’t be worse than what Hubei endured.
Applying Hubei’s experience—a population infection rate in that province of only 0.11% (67,000 divided by 60 million) and a case fatality rate of 4.3%— to Canada’s population of 37 million would mean roughly 41,000 cases and 1750 dead in Canada.
Bad enough—but seasonal influenza kills 3500 Canadians every year; traffic accidents kill 2000 people.
So not a huge deal, right?
But here’s the problem: Canada is not China. Neither is the U.S., or any of the other countries where coronaviral spores have taken root.
In one sense, at least, that’s a good thing: our air is much cleaner, and far fewer of us smoke cigarettes, leaving us with lungs presumably less hospitable to invading coronavirus.
However, we are not going to quarantine entire Canadian cities and provinces (it’s too late for that now anyway).
We’re not likely to close airports and shut down mass transit.
We’re not going to chase our citizens with drones.
We’re not going to mandate that entire city populations stay in their houses for weeks or months on end.
And we’re not likely to be as good at keeping infected patients alive—not because we lack the know-how, but because we lack adequate space, supplies, ventilators, and personnel.
The WHO’s Bruce Aylward, commenting on the case fatality rate observed in China, had this to say about the regime’s efforts:
“That’s the mortality in China — and they find cases fast, get them isolated, in treatment, and supported early. Second thing they do is ventilate dozens in the average hospital; they use extracorporeal membrane oxygenation (removing blood from a person’s body and oxygenating their red blood cells) when ventilation doesn’t work. This is sophisticated health care. They have a survival rate for this disease I would not extrapolate to the rest of the world. What you’ve seen in Italy and Iran is that a lot of people are dying.”
Canada may do better than Italy and Iran. But our hospitals are already stuffed to the gills (and people won’t stop suffering from heart attacks and strokes and trauma and cancer just because COVID-19 is kicking around).
We can’t, like the Chinese, build enormous hospitals almost overnight specifically for coronavirus patients. (We can’t even build a pipeline in this country.)
Does all of the above mean we’re screwed?
Not at all.
Certainly, we can’t do what the Chinese did. Nor should we try. The Italians are trying, and their country is descending into unmitigated chaos.
We must adopt a radically different strategy.
First, we must acknowledge that stopping this virus is like trying to stop the wind.
We must acknowledge what any seasoned epidemiologist can tell you: viral pandemics burn themselves out—but only after millions of people get sick and recover, freshly equipped with powerful antibodies to the virus. The resulting collective population immunity—called herd immunity—prevents the virus from hopping from person to person to person with epidemic speed, and the pandemic dies out.
There are no other options. Well, there are two, but neither are on the near horizon: complete eradication of the virus (as mankind did with smallpox), or the development of an effective vaccine.
We must let this pandemic burn itself out.
But just as importantly we must control how that happens.
The novel coronavirus has an R0 value of 2.2, which means that each person can infect 2.2 others. The case fatality rate across all of China was 2.3% (it’s higher in Wubei province and outside of China—it’s over 4% in Italy, for example). Those numbers, ominously, aren’t much different from the Spanish flu.
Knowing that most of the world cannot replicate China’s totalitarian lockdown to control viral spread, epidemiologists estimate that between 30-60% of the world could end up infected with coronavirus.
Wait a minute, you say: Hubei province had a population infection rate of only 0.11%. That’s a far cry from 30%.
Sure. But the Asian elephant in the room is that China, by its draconian quarantine measures, prevented community spread—which also very likely prevented the development of herd immunity.
When Wuhan and her 15 sister cities are re-opened; when the stranglehold on Hubei province is released; when the airports re-open and the trains start running and commerce restarts: we may see a second wave of infection in China. The virus is not gone, and because the Chinese prevented community spread from continuing for two months, most of their population is probably not immune.
It was the second wave of the Spanish flu, remember, that killed most of the people in that pandemic. And China could be on the cusp of a second wave of COVID-19.
We must not allow this to happen globally with COVID-19.
If epidemiologists are correct even at the low end of their estimates—30% of the world’s population infected and a case fatality rate (also at the low end) of 2.3%—that means 53 million dead: roughly 255,000 of them in Canada (73 times the death toll of the seasonal flu).
Horrific stuff. But the achilles heel of the coronavirus is that it primarily kills old people. And we can exploit that.
The Spanish flu killed across demographics, disproportionately killing those in the age categories of 20 to 40, over 65, and younger than five. The high mortality in healthy people was a unique feature of this pandemic – as was the case with the 2009 H1N1 pandemic.
But that’s not the case with COVID-19: it kills mostly the elderly and the infirm. The mortality rate in those over 80 is 15%; in those over 70, eight percent; and in those over 60 it’s just under four percent. In Italy, where the death toll stood at 366 as of Sunday, the average age of those who have died is 81.
At younger ages the mortality rate drops off dramatically – the vast majority of younger people, especially kids, recover without incident, most of them with mild or no signs of illness.
But—and this is key—even though children (and healthy adults) may be completely symptomatic or have only mild symptoms after they acquire coronavirus, they still carry the virus: they are vectors, much like the rats that spread the bubonic plague in the 14thcentury.
We are not going to exterminate the children as we did the rats—but we can take real steps to mitigate the risk of viral spread.
Those most vulnerable to the deadly effects of this virus—the elderly and the medically compromised—should self-quarantine while we judiciously allow the virus to do what it does among the rest of us.
That means that we all continue to protect ourselves sensibly, just as we do from the flu: wash our hands, cough into our elbows, stay home if we are sick, learn the “Ebola handshake”, and stay away from hospitals and clinics unless truly necessary.
In an earlier version of this piece I wrote: “We must not close the schools, the airports, the theatres, the restaurants.”
I’m no longer so sure.
This is a fast-moving epidemic, and it is imperative—imperative—that we pay close attention to what is happening elsewhere as this virus marches around the world.
Reports out of Italy are deeply sobering: the elderly are dying, and they are sickening at a furious rate. Hospital resources have been completely overwhelmed.
The Italians were utterly unprepared for the sheer volume of critically ill patients requiring intensive care all at once.
And so is Canada.
We need to slow the virus down. We need to impede the rate of its spread to the elderly.
It may be prudent, as COVID-19 establishes a foothold in Canada. to proactively close schools and universities, and to cancel concerts and conferences and other mass gatherings.
Messaging is key. School closures should not incite fear and alarm. The risk to the young and healthy remains very low—whether or not we close schools and cancel concerts doesn’t change that.
But we must do whatever we can to slow the dissemination of virus to the elderly and medically compromised, to as much as possible lessen the strain on our health care resources.
It is far easier for hospitals to deal with a crush of infected, critically ill patients over a four month period than over a four weekperiod.
We must, in the language of disease, “flatten the epidemiologic curve”.
We must sequester the elderly and the medically compromised away from the rest of the population. They should avoid crowds, travel, and children—likely until August or later.
We cannot do this by decree—that will never work. But we must shout this message of self-quarantine from the rooftops loudly and repeatedly so that the elderly and medically compromised understand that if they do not comply, they stand a high risk of dying.
At the same time, it is essential that we protect heath care workers and those who are medically at-risk in hospitals: we must enact systems of external triage (a.k.a. drive-through emergency medicine), external treatment sites, telemedicine, mobile treatment teams, and so on.
These measures are critical to to lessen the coming unprecedented demands on our health care system, to reduce the death rate and to buy time until we either have herd immunity or an effective vaccine.
Our politicians and medical leaders have dropped the ball on this. They’ve been fidgeting while this virus burns, spinning confused and garbled messages of half measures and wrong measures.
It’s time to stop the fidgeting, to do away with the spin, and to lead with strength and clarity.
We must not allow the world to succumb to chaos.
We must not allow the economic infrastructure of the world to be destroyed, and society completely upended, by a viral pandemic that targets primarily the elderly and medically compromised.
There is no need to panic.
We should remain calm and carry on.
But nor should we keep our head in the sand.
As Bruce Aylward put it:
“Get organized, get educated, and get working.”
International
Pentagon agency to simulate lockdowns, mass vaccinations, public compliance messaging

From LifeSiteNews
With lockdowns, mass vaccination campaigns, and social distancing still on the table from the last around, it appears that AI and Machine Learning will play a much bigger role in the next.
DARPA is getting into the business of simulating disease outbreaks, including modeling interventions such as mass vaccination campaigns, lockdowns, and communication strategies.
At the end of May, the U.S. Defense Advanced Research Projects Agency (DARPA) put out a Request for Information (RFI) seeking information regarding “state-of-the-art capabilities in the simulation of disease outbreaks.”
The Pentagon’s research and development funding arm wants to hear from academic, industry, commercial, and startup communities on how to develop “advanced capabilities that drive technical innovation and identify critical gaps in bio-surveillance, diagnostics, and medical countermeasures” in order to “improve preparedness for future public health emergencies.”
Dr. @P_McCulloughMD: "This Is a Military Operation"
"The military said in 2012, 'We will end pandemics in 60 days using messenger RNA.' That's long before Moderna and Pfizer were even in the game. … They are profiting from this, but they didn't drive it." pic.twitter.com/71jAV5wfG0
— The Vigilant Fox 🦊 (@VigilantFox) March 12, 2023
As if masks, social distancing, lockdowns, and vaccination mandates under the unscientific guise of slowing the spread and preventing the transmission of COVID weren’t harmful enough, the U.S. military wants to model the effects of these exact same countermeasures for future outbreaks.
The RFI also asks participants “Fatality Rate & Immune Status: How are fatality rates and varying levels of population immunity (natural or vaccine-induced) incorporated into your simulations?“
Does “natural or vaccine-induced” relate to “population immunity” or “fatality rates” or both?
Moving on, the RFI gets into modeling lockdowns, social distancing, and mass vaccination campaigns, along with communication strategies:
Intervention Strategies: Detail the range of intervention strategies that can be modeled, including (but not limited to) vaccination campaigns, social distancing measures, quarantine protocols, treatments, and public health communication strategies. Specifically, describe the ability to model early intervention and its impact on outbreak trajectory.
The fact that DARPA wants to model these so-called intervention strategies just after the entire world experienced them suggests that these exact same measures will most likely be used again in the future:
“We are committed to developing advanced modeling capabilities to optimize response strategies and inform the next generation of (bio)technology innovations to protect the population from biological threats. We are particularly focused on understanding the complex interplay of factors that drive outbreak spread and evaluating the effectiveness of potential interventions.” — DARPA, Advanced Disease Outbreak Simulation Capabilities RFI, May 2025.
“Identification of optimal timelines and capabilities to detect, identify, attribute, and respond to disease outbreaks, including but not limited to biosensor density deployment achieving optimal detection timelines, are of interest.” — DARPA, Advanced Disease Outbreak Simulation Capabilities RFI, May 2025.
With lockdowns, mass vaccination campaigns, and social distancing still on the table from the last around, it appears that AI and Machine Learning will play a much bigger role in the next.
For future innovation, the DARPA RFI asks applicants to: “Please describe any novel technical approaches – or applications of diverse technical fields (e.g., machine learning, artificial intelligence, complex systems theory, behavioral science) – that you believe would significantly enhance the state-of-the-art capabilities in this field or simulation of biological systems wholistically.”
Instead of putting a Dr. Fauci, a Dr. Birx, a replaceable CDC director, a TV doctor, a big pharma CEO, or a Cuomo brother out there to lie to your face about how they were all just following The ScienceTM, why not use AI and ML and combine them with behavioral sciences in order to concoct your “public health communications strategies?”
When you look at recently announced DARPA programs like Kallisti and MAGICS, which are aimed at creating an algorithmic Theory of Mind to model, predict, and influence collective human behavior, you start to get a sense of how all these programs can interweave:
“The MAGICS ARC calls for paradigm-shifting approaches for modeling complex, dynamic systems for predicting collective human behaviour.” — DARPA, MAGICS ARC, April 2025
On April 8, DARPA issued an Advanced Research Concepts (ARC) opportunity for a new program called “Methodological Advancements for Generalizable Insights into Complex Systems (MAGICS)” that seeks “new methods and paradigms for modeling collective human behavior.”
Nowhere in the MAGICS description does it mention modeling or predicting the behavior of “adversaries,” as is DARPA’s custom.
Instead, it talks at length about “modeling human systems,” along with anticipating, predicting, understanding, and forecasting “collective human behavior” and “complex social phenomena” derived from “sociotechnical data sets.”
Could DARPA’s MAGICS program be applied to simulating collective human behavior when it comes to the next public health emergency, be it real or perceived?
“The goal of an upcoming program will be to develop an algorithmic theory of mind to model adversaries’ situational awareness and predict future behaviour.” — DARPA, Theory of Mind Special Notice, December 2024.
In December 2024, DARPA launched a similar program called Theory of Mind, which was renamed Kallisti a month later.
The goal of Theory of Mind is to develop “new capabilities to enable national security decisionmakers to optimize strategies for deterring or incentivizing actions by adversaries,” according to a very brief special announcement.
DARPA never mentions who those “adversaries” are. In the case of a public health emergency, an adversary could be anyone who questions authoritative messaging.
The Theory of Mind program will also:
… seek to combine algorithms with human expertise to explore, in a modeling and simulation environment, potential courses of action in national security scenarios with far greater breadth and efficiency than is currently possible.
This would provide decisionmakers with more options for incentive frameworks while preventing unwanted escalation.
We are interested in a comprehensive overview of current and emerging technologies for disease outbreak simulation, how simulation approaches could be extended beyond standard modeling methods, and to understand how diseases spread within and between individuals including population level dynamics.
They say that all the modeling and simulating across programs is for “national security,” but that is a very broad term.
DARPA is in the business of research and development for national security purposes, so why is the Pentagon modeling disease outbreaks and intervention strategies while simultaneously looking to predict and manipulate collective human behavior?
If and when the next outbreak occurs, the same draconian and Orwellian measures that governments and corporations deployed in the name of combating COVID are still on the table.
And AI, Machine Learning, and the military will play an even bigger role than the last time around.
From analyzing wastewater to learning about disease spread; from developing pharmaceuticals to measuring the effects of lockdowns and vaccine passports, from modeling and predicting human behavior to coming up with messaging strategies to keep everyone in compliance – “improving preparedness for future public health emergencies” is becoming more militaristically algorithmic by the day.
“We are exploring innovative solutions to enhance our understanding of outbreak dynamics and to improve preparedness for future public health emergencies.” — DARPA, Advanced Disease Outbreak Simulation Capabilities RFI, May 2025.
Kennedy on Covid Jabs as a Military Operation:
"Turns out that the vaccines were developed not by Moderna and Pfizer. They were developed by NIH.”
“They're owned. The patents are owned 50% by NIH.
They were manufactured by military contractors.”
pic.twitter.com/R6y8i8tAsD— Jonny Paradise 🌱 (@plantparadise7) April 15, 2025
Reprinted with permission from The Sociable.
Business
Audit report reveals Canada’s controversial COVID travel app violated multiple rules

From LifeSiteNews
Canada’s Auditor General found that government procurement rules were not followed in creating the ArriveCAN app.
Canada’s Auditor General revealed that the former Liberal government under Prime Minister Justin Trudeau failed multiple times by violating contract procurement rules to create ArriveCAN, its controversial COVID travel app.
In a report released Tuesday, Auditor General Karen Hogan noted that between April 2015 to March 2024, the Trudeau government gave out 106 professional service contracts to GC Strategies Inc. This is the same company that made the ArriveCAN app.
The contracts were worth $92.7 million, with $64.5 million being paid out.
According to Hogan, Canada’s Border Services Agency gave four contracts to GC Strategies valued at $49.9 million. She noted that only 54 percent of the contracts delivered any goods.
“We concluded that professional services contracts awarded and payments made by federal organizations to GC Strategies and other companies incorporated by its co-founders were not in accordance with applicable policy instruments and that value for money for these contracts was not obtained,” Hogan said.
She continued, “Despite this, federal government officials consistently authorized payments.”
The report concluded that “Federal organizations need to ensure that public funds are spent with due regard for value for money, including in decisions about the procurement of professional services contracts.”
Hogan announced an investigation of ArriveCAN in November 2022 after the House of Commons voted 173-149 for a full audit of the controversial app.
Last year, Hogan published an audit of ArriveCAN and on Tuesday published a larger audit of the 106 contracts awarded to GC Strategies by 31 federal organizations under Trudeau’s watch.
The report concluded that one in five contracts did not have proper documentation to show correct security clearances. Also, the report found that federal organizations did not monitor how the contract work was being performed.
‘Massive scandal,’ says Conservative leader Pierre Poilievre
Conservative Party leader Pierre Poilievre said Hogan’s report on the audit exposed multiple improprieties.
“This is a massive scandal,” he told reporters Tuesday.
“The facts are extraordinary. There was no evidence of added value. In a case where you see no added value, why are you paying the bill?”
ArriveCAN was introduced in April 2020 by the Trudeau government and made mandatory in November 2020. The app was used by the federal government to track the COVID jab status of those entering the country and enforce quarantines when deemed necessary.
ArriveCAN was supposed to have cost $80,000, but the number quickly ballooned to $54 million, with the latest figures showing it cost $59.5 million.
As for the app itself, it was riddled with technical glitches along with privacy concerns from users.
LifeSiteNews has published a wide variety of reports related to the ArriveCAN travel app.
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