R/who_cases_data.R
who_cases.RdEach row of data reports cumulative counts based on best reporting up to the moment published. Cases and deaths are reported for all affected countries.
who_cases()a data.frame
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(),
covidtracker_data(),
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()
Other case-tracking:
align_to_baseline(),
beoutbreakprepared_data(),
bulk_estimate_Rt(),
combined_us_cases_data(),
coronadatascraper_data(),
covidtracker_data(),
ecdc_data(),
estimate_Rt(),
jhu_data(),
nytimes_county_data(),
owid_data(),
plot_epicurve(),
test_and_trace_data(),
usa_facts_data()
res = who_cases()
colnames(res)
#> [1] "date" "iso2c" "country" "who_region" "subset"
#> [6] "count"
dplyr::glimpse(res)
#> Rows: 406,692
#> Columns: 6
#> $ date <date> 2020-01-03, 2020-01-03, 2020-01-04, 2020-01-04, 2020-01-05…
#> $ iso2c <chr> "AF", "AF", "AF", "AF", "AF", "AF", "AF", "AF", "AF", "AF",…
#> $ country <chr> "Afghanistan", "Afghanistan", "Afghanistan", "Afghanistan",…
#> $ who_region <chr> "EMRO", "EMRO", "EMRO", "EMRO", "EMRO", "EMRO", "EMRO", "EM…
#> $ subset <chr> "confirmed", "deaths", "confirmed", "deaths", "confirmed", …
#> $ count <int> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,…