Finally, some C-19 “prevalence” estimates…
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Loyal readers know that I’ve been frustrated by the lack of practical, personally-relevant data that the public health “experts” have been gathering, analyzing and disseminating.
For example, I’d like to know how likely I am to bump into a person who is infected with C-19 if I leave my house.
Reasonable question, right?
In infectious disease speak, that number is called the “prevalence rate” … the percentage of people in an area who are infectious-likely at a specific point in time.
Current testing procedures don’t answer the question (see: Why is COVID testing still so haphazard?) … so, the “experts” fixate on metrics that are muddled and potentially misleading (see: Birx: “Key metric that I watch is the positivity rate”).
Finally, I’ve stumbled on some “machine learning” analyses that take a stab at answering my question: What’s the Covid prevalence rate?
OK, let’s get to work…

