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Let’s check the source-specific metadata for nssp.
We can pull the latest snapshot of a signal.
If you want to inspect the API request URL or query structure without
actually fetching the data, you can use the dry_run
argument via fetch_args_list():
Filtering by specific geographies and versions:
If you want to track how data for a specific time period was revised
over time, you can use epidata_archive().
Here are some examples for NHSN (hospitalizations), POPHIVE, and NWSS (wastewater).
# NHSN: Hospital Admissions
meta_nhsn <- epidata_meta(source = "nhsn")
meta_nhsn$nhsn$signals
meta_nhsn$nhsn$geo_types
meta_nhsn$nhsn$version_range
meta_nhsn$nhsn$time_value_range
nhsn_data <- epidata_snapshot(
source = "nhsn",
signal = "confirmed_admissions_flu_ew",
geo_type = "state"
)
head(nhsn_data)
# POPHIVE
meta_pophive <- epidata_meta(source = "pophive")
meta_pophive$pophive$signals
meta_pophive$pophive$geo_types
meta_pophive$pophive$version_range
meta_pophive$pophive$time_value_range
pophive_data <- epidata_snapshot(
source = "pophive",
signal = "covid_pct_ed",
geo_type = "state"
)
head(pophive_data)
# NWSS: Wastewater Surveillance
meta_nwss <- epidata_meta(source = "nwss")
meta_nwss$nwss$signals
meta_nwss$nwss$geo_types
meta_nwss$nwss$version_range
meta_nwss$nwss$time_value_range
nwss_data <- epidata_snapshot(
source = "nwss",
signal = "covid_avg_conc",
geo_type = "sewershed"
)
head(nwss_data)These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.