cowidev.hosp.sources#

cowidev.hosp.sources.algeria#

cowidev.hosp.sources.algeria.main()[source]#

cowidev.hosp.sources.argentina#

cowidev.hosp.sources.argentina.main() DataFrame[source]#

cowidev.hosp.sources.australia#

cowidev.hosp.sources.australia.main()[source]#

cowidev.hosp.sources.austria#

cowidev.hosp.sources.austria.main() DataFrame[source]#
cowidev.hosp.sources.austria.read() DataFrame[source]#

cowidev.hosp.sources.belgium#

cowidev.hosp.sources.belgium.main() DataFrame[source]#

cowidev.hosp.sources.bolivia#

cowidev.hosp.sources.bolivia.main() DataFrame[source]#

cowidev.hosp.sources.canada#

cowidev.hosp.sources.canada.main()[source]#

cowidev.hosp.sources.chile#

cowidev.hosp.sources.chile.main()[source]#

cowidev.hosp.sources.czechia#

cowidev.hosp.sources.czechia.main() DataFrame[source]#

cowidev.hosp.sources.denmark#

cowidev.hosp.sources.denmark.main() DataFrame[source]#
cowidev.hosp.sources.denmark.read() DataFrame[source]#

cowidev.hosp.sources.ecdc#

cowidev.hosp.sources.ecdc.download_data()[source]#
cowidev.hosp.sources.ecdc.main()[source]#
cowidev.hosp.sources.ecdc.pipe_undo_100k(df)[source]#
cowidev.hosp.sources.ecdc.pipe_week_to_date(df)[source]#
cowidev.hosp.sources.ecdc.update_metadata(df)[source]#

cowidev.hosp.sources.finland#

cowidev.hosp.sources.finland.main() DataFrame[source]#

cowidev.hosp.sources.france#

cowidev.hosp.sources.france.main() DataFrame[source]#

cowidev.hosp.sources.germany#

cowidev.hosp.sources.germany.main() DataFrame[source]#

cowidev.hosp.sources.israel#

cowidev.hosp.sources.israel.main()[source]#

cowidev.hosp.sources.italy#

cowidev.hosp.sources.italy.main() DataFrame[source]#

cowidev.hosp.sources.japan#

cowidev.hosp.sources.japan.main()[source]#

cowidev.hosp.sources.malaysia#

cowidev.hosp.sources.malaysia.main()[source]#

cowidev.hosp.sources.netherlands#

cowidev.hosp.sources.netherlands.main() DataFrame[source]#

cowidev.hosp.sources.portugal#

cowidev.hosp.sources.portugal.main() DataFrame[source]#

cowidev.hosp.sources.russia#

cowidev.hosp.sources.russia.main()[source]#

cowidev.hosp.sources.serbia#

cowidev.hosp.sources.serbia.main()[source]#

cowidev.hosp.sources.singapore#

cowidev.hosp.sources.singapore.import_flow()[source]#
cowidev.hosp.sources.singapore.main()[source]#

cowidev.hosp.sources.south_africa#

cowidev.hosp.sources.south_africa.main() DataFrame[source]#

cowidev.hosp.sources.south_korea#

cowidev.hosp.sources.south_korea.main()[source]#

cowidev.hosp.sources.spain#

cowidev.hosp.sources.spain.main() DataFrame[source]#

cowidev.hosp.sources.sweden#

cowidev.hosp.sources.sweden.main() DataFrame[source]#

cowidev.hosp.sources.switzerland#

cowidev.hosp.sources.switzerland.main() DataFrame[source]#

cowidev.hosp.sources.united_kingdom#

cowidev.hosp.sources.united_kingdom.main()[source]#

cowidev.hosp.sources.united_states#

cowidev.hosp.sources.united_states.main()[source]#

Add here processes for individual countries.

All modules should have a main function that returns a dataframe with the data and a metadata dictionary with info regarding sources.