Nothing
knitr::opts_chunk$set(collapse = TRUE, comment = "#>", eval = identical(Sys.getenv("NOT_CRAN"), "true"))
library(dplyr) library(ggplot2) library(epidatr)
Let's check the source-specific metadata for nssp.
meta_nssp <- epidata_meta(source = "nssp") meta_nssp$nssp$signals meta_nssp$nssp$geo_types meta_nssp$nssp$version_range meta_nssp$nssp$time_value_range
We can pull the latest snapshot of a signal.
nssp_data <- epidata_snapshot( source = "nssp", signal = "pct_ed_visits_influenza", geo_type = "state" ) head(nssp_data)
If you want to inspect the API request URL or query structure without actually fetching the data, you can use the dry_run argument via fetch_args_list():
dry_run_call <- epidata_snapshot( source = "nssp", signal = "pct_ed_visits_influenza", geo_type = "state", fetch_args = fetch_args_list(dry_run = TRUE) ) dry_run_call
Filtering by specific geographies and versions:
pa_ca_data <- epidata_snapshot( source = "nssp", signal = "pct_ed_visits_influenza", geo_type = "state", geo_values = c("PA", "CA"), as_of = "2025-01-01" # fetch data as it was known on this date ) head(pa_ca_data)
If you want to track how data for a specific time period was revised over time, you can use epidata_archive().
archive_data <- epidata_archive( source = "nssp", signal = "pct_ed_visits_influenza", geo_type = "state" ) head(archive_data)
Here are some examples for NHSN (hospitalizations), POPHIVE, and NWSS (wastewater).
# NHSN: Hospital Admissions meta_nhsn <- epidata_meta(source = "nhsn") meta_nhsn$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)
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