Analyzing COVID Data: Separating signal from noise and clutter.
In this report I am describing how I interpret the data. What are the approaches, and pitfalls in the approach.
First some definitions:
Signal: what I am looking for: the growth of the disease in a population
Noise: Random variations in the data unrelated to the signal
Clutter: Other events that mimic the signals I am looking for. One man's signal is another man's clutter. The only way to remove clutter is to look at other data source, such as press reports.