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License: MIT License
I think we may have a bug in the Delaware scraper
The Date
column seems to be set for each csv in the fetch
method
Then in normalize
we are using dt=self._retrieve_dt("US/Eastern")
instead of that Date column
I think the fix should be as simple as renaming Date
-> dt
in .fetch
and then not trying to assign
to dt
in .normalize
@ChrisBremer does that sound right to you?
Proposal (after call with @cc7768 )
We need to determine category, measurement, unit triplets for capturing vaccine data.
Here is a proposal (in csv form) for how we might do this
category,measurement,unit
moderna_vaccine_allocated,cumulative,people
moderna_vaccine_distributed,cumulative,people
moderna_vaccine_initiated,cumulative,people
moderna_vaccine_completed,cumulative,people
pfizer_vaccine_allocated,cumulative,people
pfizer_vaccine_distributed,cumulative,people
pfizer_vaccine_initiated,cumulative,people
pfizer_vaccine_completed,cumulative,people
We use set-output
in some of our CI/CD pipelines, e.g., https://github.com/act-now-coalition/covid-act-now-website/blob/develop/.github/workflows/ci.yml
The dept. of health page here has a link to an xlsx file that they claim is updated daily.
the xlsx file is here: https://www.dshs.state.tx.us/immunize/covid19/COVID-19-Vaccine-Data-by-County.xls
@jrybacek volunteered for this one ๐
This may be a starting point to scrape: https://www.cdph.ca.gov/Programs/CID/DCDC/Pages/COVID-19/VaccineDoses.aspx
We use Prefect Cloud 1 at the moment. I believe this is a separate task from updating our workflows from Prefect 1 to Prefect 2, which requires significant code changes
It looks like the CDC testing data scraper does not include DC. Unsure of why, as DC is included in us.STATES
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