R/epidemiologyDataDictionary.R
epidemiologyDataDictionary.RdDocuments fields included when extracting data from outbreak.info
epidemiologyDataDictionary()dataframe
df = epidemiologyDataDictionary()
knitr::kable(df)
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#> |API Field |Documentation |
#> |:---------------------------------|:--------------------------------------------------------------------------------------------------------------------------------------------------------|
#> |admin_level |Administrative level (World Bank regions = -1, countries = 0, states/provinces = 1, metropolitan areas = 1.5, counties = 2) |
#> |cbsa |Metropolitan area FIPS code |
#> |confirmed |Total number of confirmed COVID-19 cases |
#> |confirmed_doublingRate |Doubling rate of confirmed COVID-19 cases (number of days for COVID-19 cases to double) |
#> |confirmed_firstDate |Date of first confirmed COVID-19 case |
#> |confirmed_newToday |T if new COVID-19 cases reported, F if none |
#> |confirmed_numIncrease |Number of new confirmed COVID-19 cases |
#> |confirmed_pctIncrease |Percent increase in confirmed COVID-19 cases |
#> |confirmed_per_100k |Total number of confirmed COVID-19 cases per 100,000 persons |
#> |confirmed_rolling |Weekly rolling average of new confirmed COVID-19 cases |
#> |confirmed_rolling_14days_ago |Weekly rolling average of new confirmed COVID-19 cases 14 days prior |
#> |confirmed_rolling_14days_ago_diff |Difference between a weekly rolling average of new confirmed COVID-19 cases and the weekly rolling average of new confirmed COVID-19 cases 14 days prior |
#> |confirmed_rolling_per_100k |Weekly rolling average of new confirmed COVID-19 cases per 100,000 persons |
#> |country_gdp_per_capita |Country GDP per capita |
#> |country_iso3 |Country ISO3 |
#> |country_name |Country name |
#> |country_population |Total population of country |
#> |date |Date |
#> |daysSince100Cases |Days since 100 new confirmed cases of COVID-19 reported |
#> |daysSince10Deaths |Days since 10 new deaths due to COVID-19 reported |
#> |daysSince50Deaths |Days since 50 new deaths due to COVID-19 reported |
#> |dead |Total number of deaths due to COVID-19 |
#> |dead_doublingRate |Doubling rate of deaths due to COVID-19 (number of days for deaths due to COVID-19 to double) |
#> |dead_firstDate |Date of first death due to COVID-19 |
#> |dead_newToday |T if new deaths due to COVID-19 reported, F if none |
#> |dead_numIncrease |Number of new deaths due to COVID-19 |
#> |dead_pctIncrease |Percent increase in deaths due to COVID-19 |
#> |dead_per_100k |Total number of deaths due to COVID-19 per 100,000 persons |
#> |dead_rolling |Weekly rolling average of new deaths due to COVID-19 |
#> |dead_rolling_14days_ago |Weekly rolling average of new deaths due to COVID-19 14 days prior |
#> |dead_rolling_14days_ago_diff |Difference between a weekly rolling average of new deaths due to COVID-19 and the weekly rolling average of new deaths due to COVID-19 14 days prior |
#> |dead_rolling_per_100k |Weekly rolling average of new deaths due to COVID-19 per 100,000 persons |
#> |first_dead-first_confirmed |Number of days between first confirmed case of COVID-19 and first death due to COVID-19 |
#> |gdp_last_updated |Year that GDP was last updated |
#> |gdp_per_capita |GDP per capita |
#> |iso3 |ISO3 code |
#> |lat |Latitude |
#> |location_id |Location code |
#> |long |Longitude |
#> |mostRecent |T for most recent row of data, F for all others |
#> |name |Location name |
#> |num_subnational |Number of administrative divisions |
#> |population |Total population |
#> |state_iso3 |State ISO3 code |
#> |state_name |State name |
#> |sub_parts |County name, county FIPS code, state name |
#> |wb_region |World Bank region |