You may have noticed that I haven’t written much if at all about COVID-19’s origins, despite having written a ton about the disease. Was it from a wet market? Was it from a lab? My opinion was that it was … Continue reading →
Alex Berenson has been active lately on some of the Fox opinion shows, and every now and then I’ve watched his appearances. He’s an interesting guy; I wrote about him previously in this post about marijuana and its effects. Berenson … Continue reading →
…don’t always pan out. But this definitely shows promise for those COVID patients who are in dire straits: Six critically ill coronavirus patients in Israel who are considered high-risk for mortality have been treated with Pluristem’s placenta-based cell-therapy product and … Continue reading →
…but powerful nevertheless: However, from everything I’ve heard and read, the medication combination is probably most effective if given before things really go south. If a person is already on a ventilator, for example, the amount of lung damage that … Continue reading →
Modeling can analyze data about complex systems and make predictions. But the predictive value of modeling is hampered by the fact that models are only as good as the assumptions and statistics behind them. Models have become ubiquitous in government … Continue reading →
This problem has bothered me from the start: WHAT PERCENTAGE OF AMERICANS IN GENERAL HAVE AN UNDERLYING CONDITION? 73% of Americans Hospitalised With COVID-19 Had an Underlying Condition, Says CDC. No numbers, but there’s this: “The CDC noted that many … Continue reading →
Not a controlled study, but still it’s good news: Dr. Stephen Smith, founder of The Smith Center for Infectious Diseases and Urban Health, said on “The Ingraham Angle” on Wednesday night that he is optimistic about the use of antimalarial … Continue reading →
I came across these charts the other day, and I’ve been trying very hard to figure out certain things about them. The charts are an attempt to compare the projected need for ventilators, hospital beds, and ICU beds with the … Continue reading →
As a non-scientist non-doctor non-epidemiologist blogger, my present thoughts on COVID-19 are as follows: it will most likely end up taking a worldwide toll something like the 1957 flu, adjusted for increased population of course. Perhaps even more like the … Continue reading →
All you math people out there, correct me if I’m wrong – as I’m sure you will. Arithmetic or linear growth means that a number increases by addition. Here’s an example in which the number 2 is added to a … Continue reading →
Epidemiologists deal with dry facts and figures, but the subject matter of those facts and figures can be very dramatic: illness and death, and how best to go about minimizing the former and delaying the latter. Usually we don’t pay … Continue reading →
There are a great many highly important facts about COVID-19 that are unknown. Many of us know they are unknown, but many people think they are known. An obvious one is the case fatality rate from the disease. It only … Continue reading →