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CDCgov / DynODE

CDC/CFA/Predict/Scenarios ODE Modeling Framework
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Initialization of model compartments using public empirical data sources #57

Closed mrbatist closed 6 months ago

mrbatist commented 7 months ago

Currently this model is using ABM output parameterized for Florida to initialize the compartment sizes in the middle of the pandemic. We would like to move to using public empirical data sets to initialize the model.

Some empirical data sets include: Vaccination Hospitalization Seroprevalence Variants

arik-shurygin commented 7 months ago

@mrbatist I think I mentioned this to you before but try to build your code in such a way that is as generic as possible. I would take a look at the AbstractInitializer or CovidInitializer for reference. Specifically, I would read in config files, even if the datasets used as input lock in particular age binning, it is better to take in the config and then raise an error that the age binning is able to be merged with the data sets.