covidtracker_data: US State-level data including test results
In seandavi/sars2pack: COVID-19 data resources and analysis tools

covidtracker_data

R Documentation

US State-level data including test results

Description

Get data from the COVID tracking project https://covidtracking.com/ including daily historical data on testing results, hospitalizations, deaths, and ICU and ventilated patients.

Usage

covidtracker_data()

Details

From the COVID Tracking Project website:

The COVID Tracking Project collects information from 50 US states, the District of Columbia, and 5 other US territories to provide the most comprehensive testing data we can collect for the novel coronavirus, SARS-CoV-2. We attempt to report positive and negative results, pending tests, and total people tested for each state or district currently reporting that data.

Value

A tidy tbl_df

Other data-import: acaps_government_measures_data(), acaps_secondary_impact_data(), apple_mobility_data(), beoutbreakprepared_data(), cci_us_vaccine_data(), cdc_aggregated_projections(), cdc_excess_deaths(), cdc_social_vulnerability_index(), coronadatascraper_data(), coronanet_government_response_data(), cov_glue_lineage_data(), cov_glue_newick_data(), cov_glue_snp_lineage(), descartes_mobility_data(), ecdc_data(), econ_tracker_consumer_spending, econ_tracker_employment, econ_tracker_unemp_data, economist_excess_deaths(), financial_times_excess_deaths(), google_mobility_data(), government_policy_timeline(), jhu_data(), jhu_us_data(), kff_icu_beds(), nytimes_county_data(), oecd_unemployment_data(), owid_data(), param_estimates_published(), test_and_trace_data(), us_county_geo_details(), us_county_health_rankings(), us_healthcare_capacity(), us_hospital_details(), us_state_distancing_policy(), usa_facts_data(), who_cases()

Other case-tracking: align_to_baseline(), beoutbreakprepared_data(), bulk_estimate_Rt(), combined_us_cases_data(), coronadatascraper_data(), ecdc_data(), estimate_Rt(), jhu_data(), nytimes_county_data(), owid_data(), plot_epicurve(), test_and_trace_data(), usa_facts_data(), who_cases()

Examples

library(dplyr)
library(ggplot2)

res = covidtracker_data()
colnames(res)
dim(res)
dplyr::glimpse(res)

# Hospitalizations by day in Maryland
covidtracker_data() %>%
    dplyr::filter(state=='MD') %>%
    add_incidence_column(count_column='hospitalized') %>%
    ggplot(aes(x=date,y=inc)) + geom_smooth() +
    ylab("New Hospitalizations per day") +
    ggtitle('Hospitalizations in Maryland', subtitle = 'From covidtracker')

seandavi/sars2pack documentation built on May 13, 2022, 3:41 p.m.