Yesterday was a FIVE Arrow Day.
The Rx for Vaccinations
Good Morning,
Yesterday was a FIVE Green Arrow Day; below are the particulars for that day.
It looks like there will be multiple vaccinations shortly, and the looming question is who should get one first. Which people ought to be in front of the line?
According to the CDC, 94% of all fatalities had, on average, 2.6 underlying conditions; these patients were the most vulnerable. Is there a way to unlock patterns to target better those that should receive a vaccination early on? We have a suggestion.
Using the data from all of those fatalities, we could tabulate which prescriptions these patients were using. After that, a correlation could be inferred to determine which combination of prescriptions would identify those most at risk. Keep in mind that there are multiple doses and types of medicine, depending on the malady. For example, there are over thirty different kinds of obesity drugs.
Once the data has been compiled, it would be straightforward to ascertain which people would be most at risk based on their prescription drug regimen. This would add objective and precise criteria to rank those most in need.
Below is a forced ranking based on this approach to triaging patients. Notice how this method would ensure an initially limited supply of vaccines would go to those in need. Using general categories such as age, residing location, or other such measures might take care of many but expose those with more specific risks vulnerable.
Forced Ranking (FR):
This pie chart forces one to classify health conditions in risk categories. We know that 2.0% of those that contracted the virus died and their specific health conditions (i.e., age, weight, diabetic status, et cetera). What were those particular conditions? A process would ensue until the specific health traits would equal 5% of the US population, and then be identified as “high risk.” Then the next level (moderate risk), the one after that and so on. Public reporting should match these risk groups. For example, there were 100 deaths today, and all but one were in the high-risk category.
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