Sunday was an EIGHT Green Arrow Day.
What to do Now?
Good Morning,
We have now administered over 351 million doses as of August 8, 2021, 5 million more from the previous week. Of which 166 million have completed their entire regimen, an increase of 1.9 million compared to the prior week. It doesn’t appear that the recent flux of new cases is significantly driving more to get their vaccinations. Almost 50% of our citizens have completed their respective dose regimens. We are trending to nearly a 1% uptick per week of those fully vaccinated. Not everyone completes their regimen, there is a growing number of “partially” vaccinated people.
There are 28 million citizens that require a second shot to complete their regimen. Once theirs are complete, that would increase those vaccinated to 59%. The combination of the 166 million, plus the recorded (18 million net, less the duplicates) and unrecorded (37 million minus the duplicates) recovers make our Herd Immunity Factor (HIF) 217 million or 67% of our population.
The trend for new cases has surged over the past several weeks. Notice in the graph below (green arrow) that the case rate dropped by more than 80%, which coincides with a jump in vaccinations. In the next several weeks (orange arrow), the new case and vaccination rates flattened. In the last several weeks (red arrow), we see a surge of new patients.
There certainly are strong opinions of who should and shouldn’t get vaccinated. Add to that who and who shouldn’t wear masks. About 100 years ago, we quarantined those that had the Spanish Flu and made other wear masks. One might think a century later; we would have a better way to handle such a contagious disease.
We constructed a hypothetical risk chart (see below). We as a society ought to know who is more or less at risk and perhaps design our national effort based on risk categories rather than a “one size shoe fits all” approach. The chart identifies types based on a forced ranking of risk factors. We would recommend using prescription drugs as the mode to classify risk. Depending on which pharmaceuticals one uses could be used to identify risk scientifically. For example, there are prescriptions for diabetes, high blood pressure, obesity, etc. It would not take much analytical work to perform such categorizations.
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