API Wrapper for COVID Tracking Project
An API wrapper for covidtracking.com.
You can install the from Github with
remotes::install_github("mkearney/covid19")
Endpoint functions calls all follow the convention ofcovid19_{endpoint}. Exported functions and examples of output data are
grouped by similar endpoints and included below.
covid19_us(): Counts (positive, negative, pos_neg
(positive + negative), hospitalized, death, total) for entire
the U.S.
covid19_us()#> # A tibble: 1 x 25#> date states positive negative pending hospitalized_cu… hospitalized_cu…#> <date> <int> <int> <int> <int> <int> <int>#> 1 2021-03-07 56 28756184 74582825 11808 40212 878613#> # … with 18 more variables: in_icu_currently <int>, in_icu_cumulative <int>,#> # on_ventilator_currently <int>, on_ventilator_cumulative <int>,#> # date_checked <dttm>, death <int>, hospitalized <int>,#> # total_test_results <int>, last_modified <dttm>, recovered <lgl>,#> # total <int>, pos_neg <int>, death_increase <int>,#> # hospitalized_increase <int>, negative_increase <int>,#> # positive_increase <int>, total_test_results_increase <int>, hash <chr>
covid19_us_daily(): Counts (positive, negative, pos_neg
(positive + negative), hospitalized, death, total, states)
by day
covid19_us_daily()#> # A tibble: 420 x 25#> date states positive negative pending hospitalized_cu… hospitalized_cu…#> <date> <int> <int> <int> <int> <int> <int>#> 1 2021-03-07 56 28756184 74582825 11808 40212 878613#> 2 2021-03-06 56 28714654 74450990 11783 41401 877887#> 3 2021-03-05 56 28654639 74307155 12213 42541 877384#> 4 2021-03-04 56 28585852 74035238 12405 44172 874603#> 5 2021-03-03 56 28520365 73857281 11778 45462 873073#> 6 2021-03-02 56 28453529 73590280 11196 46388 870901#> 7 2021-03-01 56 28399281 73334501 11748 46738 869030#> 8 2021-02-28 56 28351189 73216424 11708 47352 868006#> 9 2021-02-27 56 28296840 73012825 11731 48871 867127#> 10 2021-02-26 56 28225595 72807735 11945 51112 865699#> # … with 410 more rows, and 18 more variables: in_icu_currently <int>,#> # in_icu_cumulative <int>, on_ventilator_currently <int>,#> # on_ventilator_cumulative <int>, date_checked <dttm>, death <int>,#> # hospitalized <int>, total_test_results <int>, last_modified <dttm>,#> # recovered <lgl>, total <int>, pos_neg <int>, death_increase <int>,#> # hospitalized_increase <int>, negative_increase <int>,#> # positive_increase <int>, total_test_results_increase <int>, hash <chr>
covid19_states(): Counts (positive, negative,hospitalized, death, pending, total) and grades
(positive_score, negative_score, grade, score) by state
covid19_states()#> # A tibble: 56 x 56#> date state positive probable_cases negative pending total_test_resu…#> <date> <chr> <int> <int> <int> <int> <chr>#> 1 2021-03-07 AK 56886 NA NA NA totalTestsViral#> 2 2021-03-07 AL 499819 107742 1931711 NA totalTestsPeopl…#> 3 2021-03-07 AR 324818 69092 2480716 NA totalTestsViral#> 4 2021-03-07 AS 0 NA 2140 NA totalTestsViral#> 5 2021-03-07 AZ 826454 56519 3073010 NA totalTestsViral#> 6 2021-03-07 CA 3501394 NA NA NA totalTestsViral#> 7 2021-03-07 CO 436602 24786 2199458 NA totalTestEncoun…#> 8 2021-03-07 CT 285330 19621 NA NA totalTestsViral#> 9 2021-03-07 DC 41419 NA NA NA totalTestEncoun…#> 10 2021-03-07 DE 88354 4733 545070 NA totalTestEncoun…#> # … with 46 more rows, and 49 more variables: total_test_results <int>,#> # hospitalized_currently <int>, hospitalized_cumulative <int>,#> # in_icu_currently <int>, in_icu_cumulative <int>,#> # on_ventilator_currently <int>, on_ventilator_cumulative <int>,#> # recovered <int>, last_update_et <chr>, date_modified <chr>,#> # check_time_et <chr>, death <int>, hospitalized <int>,#> # hospitalized_discharged <int>, date_checked <chr>, total_tests_viral <int>,#> # positive_tests_viral <int>, negative_tests_viral <int>,#> # positive_cases_viral <int>, death_confirmed <int>, death_probable <int>,#> # total_test_encounters_viral <int>, total_tests_people_viral <int>,#> # total_tests_antibody <int>, positive_tests_antibody <int>,#> # negative_tests_antibody <int>, total_tests_people_antibody <int>,#> # positive_tests_people_antibody <int>, negative_tests_people_antibody <int>,#> # total_tests_people_antigen <int>, positive_tests_people_antigen <int>,#> # total_tests_antigen <int>, positive_tests_antigen <int>, fips <chr>,#> # positive_increase <int>, negative_increase <int>, total <int>,#> # total_test_results_increase <int>, pos_neg <int>, data_quality_grade <lgl>,#> # death_increase <int>, hospitalized_increase <int>, hash <chr>,#> # commercial_score <int>, negative_regular_score <int>, negative_score <int>,#> # positive_score <int>, score <int>, grade <chr>
covid19_states_daily(): Counts (positive, negative,pos_neg (positive + negative), hospitalized, death, total)
by day
covid19_states_daily()#> # A tibble: 20,780 x 56#> date state positive probable_cases negative pending total_test_resu…#> <date> <chr> <int> <int> <int> <int> <chr>#> 1 2021-03-07 AK 56886 NA NA NA totalTestsViral#> 2 2021-03-07 AL 499819 107742 1931711 NA totalTestsPeopl…#> 3 2021-03-07 AR 324818 69092 2480716 NA totalTestsViral#> 4 2021-03-07 AS 0 NA 2140 NA totalTestsViral#> 5 2021-03-07 AZ 826454 56519 3073010 NA totalTestsViral#> 6 2021-03-07 CA 3501394 NA NA NA totalTestsViral#> 7 2021-03-07 CO 436602 24786 2199458 NA totalTestEncoun…#> 8 2021-03-07 CT 285330 19621 NA NA totalTestsViral#> 9 2021-03-07 DC 41419 NA NA NA totalTestEncoun…#> 10 2021-03-07 DE 88354 4733 545070 NA totalTestEncoun…#> # … with 20,770 more rows, and 49 more variables: total_test_results <int>,#> # hospitalized_currently <int>, hospitalized_cumulative <int>,#> # in_icu_currently <int>, in_icu_cumulative <int>,#> # on_ventilator_currently <int>, on_ventilator_cumulative <int>,#> # recovered <int>, last_update_et <chr>, date_modified <chr>,#> # check_time_et <chr>, death <int>, hospitalized <int>,#> # hospitalized_discharged <int>, date_checked <chr>, total_tests_viral <int>,#> # positive_tests_viral <int>, negative_tests_viral <int>,#> # positive_cases_viral <int>, death_confirmed <int>, death_probable <int>,#> # total_test_encounters_viral <int>, total_tests_people_viral <int>,#> # total_tests_antibody <int>, positive_tests_antibody <int>,#> # negative_tests_antibody <int>, total_tests_people_antibody <int>,#> # positive_tests_people_antibody <int>, negative_tests_people_antibody <int>,#> # total_tests_people_antigen <int>, positive_tests_people_antigen <int>,#> # total_tests_antigen <int>, positive_tests_antigen <int>, fips <chr>,#> # positive_increase <int>, negative_increase <int>, total <int>,#> # total_test_results_increase <int>, pos_neg <int>, data_quality_grade <lgl>,#> # death_increase <int>, hospitalized_increase <int>, hash <chr>,#> # commercial_score <int>, negative_regular_score <int>, negative_score <int>,#> # positive_score <int>, score <int>, grade <chr>
covid19_states_info(): State government links, Twitter
accounts, notes, etc.
covid19_states_info()#> # A tibble: 56 x 16#> state notes covid19site covid19site_sec… covid19site_ter… covid19site_qua…#> <chr> <chr> <chr> <chr> <chr> <chr>#> 1 AK "Ala… http://dhs… https://experie… https://alaska-… https://service…#> 2 AL "Ala… https://al… https://alpubli… https://service… <NA>#> 3 AR "Ark… https://ww… https://experie… https://adem.ma… https://adem.ma…#> 4 AS "Ame… https://ww… https://www.fac… <NA> <NA>#> 5 AZ "Ari… https://ww… https://tableau… https://tableau… https://tableau…#> 6 CA "On … https://up… https://public.… https://public.… <NA>#> 7 CO "The… https://pu… https://public.… https://service… https://service…#> 8 CT "Neg… https://da… https://data.ct… https://data.ct… <NA>#> 9 DC "On … https://co… https://coronav… https://microst… <NA>#> 10 DE "On … https://my… https://myhealt… <NA> <NA>#> # … with 46 more rows, and 10 more variables: covid19site_quinary <chr>,#> # twitter <chr>, covid19site_old <chr>,#> # covid_tracking_project_preferred_total_test_units <chr>,#> # covid_tracking_project_preferred_total_test_field <chr>,#> # total_test_results_field <chr>, pui <chr>, pum <lgl>, name <chr>,#> # fips <chr>
covid19_counties(): County-level links for government sites,
Twitter accounts, etc.
covid19_counties()#> # A tibble: 0 x 0
covid19_urls(): Links to official state government sites
covid19_urls()#> # A tibble: 0 x 0
covid19_press(): Information (title, url, publication,author, etc.) about publications
covid19_press()#> # A tibble: 0 x 0
covid19_screenshots(): Information and paths to screenshots of
original data sources
covid19_screenshots()#> # A tibble: 0 x 0