Since one of the aims in the future is to find ways to incorporate sampling corrections, a data_retrieval.testing() class would be useful.
This is a bit scrappier than usual because some data sources are daily, others weekly (e.g. Germany), and others in irregular intervals. There are also at least 4 types of testing data:
tests performed
people tested
samples processed
units unclear
Probably what makes sense is to manually select which countries to ingest data, as building something robust enough for all would be difficult. Helper functions to add this data to other dataframes (e.g. JHU) would also be nice. Thoughts?
There is (now?) a very cool dataset on testing around the world: https://github.com/owid/covid-19-data/tree/master/public/data/testing It is the data behind this other cool website on testing information: https://ourworldindata.org/covid-testing
Since one of the aims in the future is to find ways to incorporate sampling corrections, a data_retrieval.testing() class would be useful.
This is a bit scrappier than usual because some data sources are daily, others weekly (e.g. Germany), and others in irregular intervals. There are also at least 4 types of testing data:
Probably what makes sense is to manually select which countries to ingest data, as building something robust enough for all would be difficult. Helper functions to add this data to other dataframes (e.g. JHU) would also be nice. Thoughts?