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View Code? Open in Web Editor NEWBayesian modeling of COVID-19, sometimes mechanistic
License: MIT License
Bayesian modeling of COVID-19, sometimes mechanistic
License: MIT License
we want to free up the H name for the hospitalizations pathway
to start, only support US states and national, getting data from the covidcast API.
For states:
target_variable
("cases", "hospitalizations", or "deaths"), and an optional as_of
parameter. It should return a pandas data frame with the date as an index and one column for each state-level location. The column names should match the location names returned by jhu.get_state_info()
. The values in the columns will be the case/hospitalization/death counts (just one for a single call to the function) in each state on the given date.Lines 145 to 146 in c51d090
load_us_time_series
or call the new function above. For now, when calling the utility function for covidcast, just omit the as_of
parameter to get the latest available data, matching current behavior for cases and deaths. If data source is covidcast, add hosps
to the concat
call a couple lines down.For US national:
Line 26 in c51d090
hosp
. For now, it should have observed value for the US only, and nan
's for all other locationsFor counties:
nan
'suse hospitalizations data in place of deaths
This file should not have any jax dependencies.
The goal is to make it so that someone without jax installed can still do data loading and cleaning.
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