It's a one-two punch disease!
Coronavirus Impact — It's Mostly Being Driven by Diet Induced Destruction!
Dr. Aseem Malhotra on primetime BBC News — only 4 minutes, but wow such truth!
https://www.mayoclinic.org/diseases-conditions/metabolic-syndrome/symptoms-causes/syc-20351916
Endocrine and metabolic link to coronavirus infection
Type 2 diabetes mellitus and hypertension are the most common comorbidities in patients with coronavirus infections. Emerging evidence demonstrates an important direct metabolic and endocrine mechanistic link to the viral disease process. Clinicians need to ensure early and thorough metabolic control for all patients affected by COVID-19.
https://www.nature.com/articles/s41574-020-0353-9
Hyperglycaemia and a diagnosis of T2DM are independent predictors of mortality and morbidity in patients with SARS1. This finding could be due to these patients having a state of metabolic inflammation that predisposes them to an enhanced release of cytokines. For COVID-19, a cytokine storm (that is, greatly elevated levels of inflammatory cytokines) has been implicated in the multi-organ failure in patients with severe disease3.
Something BIG is coming!
Namely, Big Data.
See those maps with the states in different colors?
Those are the result of doing a "Big Data" analysis.
Of course in an election it is really simple, even if the data is big.
But in a real world situation there are LOTS of variables
And they can change over time.
So all those people talking about ramping up testing
Are actually telling you that they are ramping up the collection of data about the spread of the disease, the severity of the disease, and anything else that an analyst can discover.
When you use Big Data to solve a problem, you don't necessarily know what you are looking for.
So, you collect as much data as you can, then you look for patterns in it.
The patterns will tell you something about the behavior of the system
The system includes the disease organism, but also the people, the healthcare system, the brand of test kit used, and so on.
Back in the 1980s, this kind of big data analysis was becoming technically possible
And that is when the healthcare system should have adopted this to improve the health of the people.
You and I both know that one of the outcomes of the Big Data analysis will be a DAMNING indictment of certain sectors of the food industry in America.
If you are like me, you will be lobbying your state and federal representatives for more punitive regulation that will effectively prohibit the sale of many ultra-processed foods that KILL PEOPLE like an IED buried under an Afghan road. Like the IED, the ultraprocessed food creates almost unnoticeable weaknesses in the metabolism until one day, a disease organism comes along, triggers the weakness, and begins a downward spiral into acute respiratory failure and DEATH!.
This will revolutionize healthcare in the USA
Obesity and COVID-19: Theories and Blame Fill the Scientific Void
https://www.tctmd.com/news/obesity-and-covid-19-theories-and-blame-fill-scientific-void
Ethan Weiss, MD (University of California, San Francisco), pointed out that everyone these days has a pet theory. This is particularly true, he said, for researchers whose own studies have been put on ice for the duration of the pandemic, leading to a lot of armchair theorizing.
“We're in this unbelievable phase of data coming at a pace we've never seen before, but also at a quality that is basically as low par as you can get,” Weiss told TCTMD. “It's all observations, anecdotes, case series. We have so little well-controlled [science], and the human mind is so powerful. . . . I think that's probably led to some herd mentality and hysteria.” That said, he continued, “there are a few things I think that have been hard to dismiss as being just pure anecdote, and I think one of them is probably this relationship between cardiometabolic risk factors and morbidity, mortality” from COVID-19.
Benoit Arsenault, PhD (Université Laval, Quebec City, Canada), told TCTMD that he, too, has been pondering the potential link between obesity and COVID-19. “I think that for obesity we can say, for the moment, that at least there is signal,” he said, “but the science is preliminary, the numbers are small, and there's probably also a little bit of selection bias going on in those studies.”
NOTE: Big Data will solve the problem of small numbers and low data quality