The most central aspect of my model is to explain why it’s generally not relevant to fit quantitative models to data.
I’m also not sure this is true about epidemiologists, and if it is I’d guess its true to the extent that they have like 4 different parameterizations of different types of diseases (likely having to do with various different sorts of vectors of spread), then they fit one of those 4 different parameterizations to the measured (or inferred) characteristics of a particular disease.
Each disease (and even different strands of the same disease and different environmental conditions for the same strand) has its own parameters, but they don’t fit a model that contains all the parameters of all diseases at once, they just focus on one disease at a time.
The most central aspect of my model is to explain why it’s generally not relevant to fit quantitative models to data.
Each disease (and even different strands of the same disease and different environmental conditions for the same strand) has its own parameters, but they don’t fit a model that contains all the parameters of all diseases at once, they just focus on one disease at a time.