{
  "_id": "6a1060f0acfb0bcc41ca77d4",
  "Package": "nccovid",
  "Title": "Pull North Carolina Covid-19 Outbreak Information",
  "Version": "0.0.21",
  "Authors@R": "c(person(given = \"Michael\",\nfamily = \"DeWitt\",\nrole = c(\"aut\", \"cre\"),\nemail = \"me.dewitt.jr@gmail.com\",\ncomment = c(ORCID = \"0000-0001-8940-1967\")),\nperson(given = \"Jennifer\",\nfamily = \"Wenner\",\nrole = c(\"aut\")),\nperson(family = \"Cone Health\", role = c(\"aut\", \"cph\"))\n)",
  "Description": "This package allows users to easily retrieve data that\nhave been pulled from the North Carolina Department of Health\nand Human Services Covid-19 Dashboard.",
  "License": "MIT + file LICENSE",
  "BugReports": "https://github.com/conedatascience/nccovid/issues",
  "URL": "https://github.com/conedatascience/nccovid,\nhttps://conedatascience.github.io/nccovid/",
  "Encoding": "UTF-8",
  "LazyData": "true",
  "RoxygenNote": "7.1.2.9000",
  "Config/testthat/edition": "3",
  "Config/pak/sysreqs": "libabsl-dev cmake libgdal-dev gdal-bin libgeos-dev\nlibicu-dev libssl-dev libproj-dev libsqlite3-dev\nlibudunits2-dev",
  "Repository": "https://medewitt.r-universe.dev",
  "Date/Publication": "2023-03-30 18:21:20 UTC",
  "RemoteUrl": "https://github.com/conedatascience/nccovid",
  "RemoteRef": "HEAD",
  "RemoteSha": "eb5257a7a6d746c9832f79481fe2b35a3da8a7e8",
  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-05-08 08:20:24 UTC",
    "User": "root"
  },
  "Author": "Michael DeWitt [aut, cre] (ORCID:\n<https://orcid.org/0000-0001-8940-1967>),\nJennifer Wenner [aut],\nCone Health [aut, cph]",
  "Maintainer": "Michael DeWitt <me.dewitt.jr@gmail.com>",
  "MD5sum": "15cd1ca44e64b96e4540e32ed90922bd",
  "_user": "medewitt",
  "_type": "src",
  "_file": "nccovid_0.0.21.tar.gz",
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  "_filesize": 257947,
  "_sha256": "c37e3696cf5d3846469f8ca1b2a2c50d733295949c711fe37c09b1a57c2045ed",
  "_created": "2026-05-08T08:20:24.000Z",
  "_published": "2026-06-10T19:35:31.108Z",
  "_distro": "noble",
  "_jobs": [
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  "_buildurl": "https://github.com/r-universe/medewitt/actions/runs/25545026189",
  "_status": "success",
  "_host": "GitHub-Actions",
  "_upstream": "https://github.com/conedatascience/nccovid",
  "_commit": {
    "id": "eb5257a7a6d746c9832f79481fe2b35a3da8a7e8",
    "author": "Jennifer Wenner <jennifer.wenner@conehealth.com>",
    "committer": "Jennifer Wenner <jennifer.wenner@conehealth.com>",
    "message": "one more name typo (was using janitor::clean_names instead of clean_names as defined in zzz.R)\n",
    "time": 1680200480
  },
  "_maintainer": {
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    "email": "me.dewitt.jr@gmail.com",
    "login": "medewitt",
    "mastodon": "@Medewitt@mastodon.social",
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  "_dependencies": [
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  "_owner": "conedatascience",
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  "_usedby": 0,
  "_updates": [],
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  "_stars": 0,
  "_contributors": [
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  "_userbio": {
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    "name": "Michael DeWitt"
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  "_downloads": {
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    "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/nccovid"
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  "_devurl": "https://github.com/conedatascience/nccovid",
  "_pkgdown": "https://conedatascience.github.io/nccovid/",
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  "_rbuild": "4.6.0",
  "_assets": [
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    "extra/citation.html",
    "extra/citation.json",
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    "extra/NEWS.html",
    "extra/NEWS.txt",
    "extra/readme.html",
    "extra/readme.md",
    "manual.pdf"
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  "_cranurl": false,
  "_exports": [
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    "aerosol_emission",
    "calc_risk",
    "calculate_community_immunity",
    "calculate_shannon",
    "calculate_transmission_increase",
    "decrease_cases",
    "effective_ve_wane",
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    "epi_finalsize",
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    "get_cdc_detail",
    "get_cdc_vax",
    "get_county_covid_demographics",
    "get_county_tests",
    "get_covid_county_plus",
    "get_covid_demographics",
    "get_covid_state",
    "get_covid_zip",
    "get_google_mobility",
    "get_google_mobility2",
    "get_hospitalizations",
    "get_vaccinations",
    "get_vaccinations_demo",
    "hit",
    "increase_cases",
    "infection_probability",
    "lambertW",
    "pull_covid_summary",
    "pull_estimates",
    "pull_hospitalization_demos",
    "pull_vaccine_census",
    "pull_wastewater",
    "r2R",
    "rna_content"
  ],
  "_datasets": [
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      "name": "cone_region",
      "title": "Regions in Cone Region of Service",
      "object": "cone_region",
      "class": [
        "character"
      ],
      "fields": [],
      "table": false,
      "tojson": true
    },
    {
      "name": "covid_mortality_data",
      "title": "Mortality Estimates from Verity Et Al for Covid",
      "object": "covid_mortality_data",
      "class": [
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        "data.frame"
      ],
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        "pct_sympto_hospital",
        "pct_hosp_icu",
        "infection_fatality_ratio"
      ],
      "rows": 9,
      "table": true,
      "tojson": true
    },
    {
      "name": "italy_rates",
      "title": "Italy Estimates",
      "object": "italy_rates",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "age_grp",
        "sex",
        "cfr",
        "age_midpt"
      ],
      "rows": 20,
      "table": true,
      "tojson": true
    },
    {
      "name": "nc_county_demos",
      "title": "NC Biological Sex Information by County",
      "object": "nc_county_demos",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "County",
        "metric",
        "population",
        "category"
      ],
      "rows": 1500,
      "table": true,
      "tojson": true
    },
    {
      "name": "nc_county_fips",
      "title": "NC Fips by County",
      "object": "nc_county_fips",
      "class": [
        "data.table",
        "data.frame"
      ],
      "fields": [
        "county",
        "fips"
      ],
      "rows": 100,
      "table": true,
      "tojson": true
    },
    {
      "name": "nc_delay",
      "title": "NCDHHS Reported Delay Distribution",
      "object": "nc_delay",
      "class": [
        "list"
      ],
      "fields": [],
      "table": true,
      "tojson": true
    },
    {
      "name": "nc_events",
      "title": "Key North Carolina Events",
      "object": "nc_events",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "event",
        "date"
      ],
      "rows": 8,
      "table": true,
      "tojson": true
    },
    {
      "name": "nc_fatality_estimates",
      "title": "Mortality and Hospitalization Estimates",
      "object": "nc_fatality_estimates",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "NAME",
        "pct_fatality",
        "n_fatality",
        "pct_hospitalized",
        "n_hospitalized",
        "pct_icu",
        "n_icu",
        "pop"
      ],
      "rows": 100,
      "table": true,
      "tojson": true
    },
    {
      "name": "nc_hc_coalitions",
      "title": "NC Hospital Preparedness Coalitions",
      "object": "nc_hc_coalitions",
      "class": [
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        "tbl",
        "data.frame"
      ],
      "fields": [
        "coalition",
        "county"
      ],
      "rows": 104,
      "table": true,
      "tojson": true
    },
    {
      "name": "nc_pop_age",
      "title": "North Carolina Population by County by Age",
      "object": "nc_pop_age",
      "class": [
        "grouped_df",
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "NAME",
        "age_grp3",
        "pop",
        "prop"
      ],
      "rows": 1700,
      "table": true,
      "tojson": true
    },
    {
      "name": "nc_pop_dhhs",
      "title": "NC Population by NCDHHS Age Band",
      "object": "nc_pop_dhhs",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "dhhs_grouper",
        "pop"
      ],
      "rows": 6,
      "table": true,
      "tojson": true
    },
    {
      "name": "nc_population",
      "title": "North Carolina Population by County",
      "object": "nc_population",
      "class": [
        "data.table",
        "data.frame"
      ],
      "fields": [
        "county",
        "july_2020",
        "july_2021",
        "july_2022",
        "july_2023",
        "july_2024",
        "july_2025",
        "july_2026",
        "july_2027",
        "july_2028",
        "july_2029"
      ],
      "rows": 101,
      "table": true,
      "tojson": true
    },
    {
      "name": "nc_svi_county",
      "title": "CDC Social Vulnerability for North Carolina by County",
      "object": "nc_svi_county",
      "class": [
        "spec_tbl_df",
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "ST",
        "STATE",
        "ST_ABBR",
        "COUNTY",
        "FIPS",
        "LOCATION",
        "AREA_SQMI",
        "E_TOTPOP",
        "M_TOTPOP",
        "E_HU",
        "M_HU",
        "E_HH",
        "M_HH",
        "E_POV",
        "M_POV",
        "E_UNEMP",
        "M_UNEMP",
        "E_PCI",
        "M_PCI",
        "E_NOHSDP",
        "M_NOHSDP",
        "E_AGE65",
        "M_AGE65",
        "E_AGE17",
        "M_AGE17",
        "E_DISABL",
        "M_DISABL",
        "E_SNGPNT",
        "M_SNGPNT",
        "E_MINRTY",
        "M_MINRTY",
        "E_LIMENG",
        "M_LIMENG",
        "E_MUNIT",
        "M_MUNIT",
        "E_MOBILE",
        "M_MOBILE",
        "E_CROWD",
        "M_CROWD",
        "E_NOVEH",
        "M_NOVEH",
        "E_GROUPQ",
        "M_GROUPQ",
        "EP_POV",
        "MP_POV",
        "EP_UNEMP",
        "MP_UNEMP",
        "EP_PCI",
        "MP_PCI",
        "EP_NOHSDP",
        "MP_NOHSDP",
        "EP_AGE65",
        "MP_AGE65",
        "EP_AGE17",
        "MP_AGE17",
        "EP_DISABL",
        "MP_DISABL",
        "EP_SNGPNT",
        "MP_SNGPNT",
        "EP_MINRTY",
        "MP_MINRTY",
        "EP_LIMENG",
        "MP_LIMENG",
        "EP_MUNIT",
        "MP_MUNIT",
        "EP_MOBILE",
        "MP_MOBILE",
        "EP_CROWD",
        "MP_CROWD",
        "EP_NOVEH",
        "MP_NOVEH",
        "EP_GROUPQ",
        "MP_GROUPQ",
        "EPL_POV",
        "EPL_UNEMP",
        "EPL_PCI",
        "EPL_NOHSDP",
        "SPL_THEME1",
        "RPL_THEME1",
        "EPL_AGE65",
        "EPL_AGE17",
        "EPL_DISABL",
        "EPL_SNGPNT",
        "SPL_THEME2",
        "RPL_THEME2",
        "EPL_MINRTY",
        "EPL_LIMENG",
        "SPL_THEME3",
        "RPL_THEME3",
        "EPL_MUNIT",
        "EPL_MOBILE",
        "EPL_CROWD",
        "EPL_NOVEH",
        "EPL_GROUPQ",
        "SPL_THEME4",
        "RPL_THEME4",
        "SPL_THEMES",
        "RPL_THEMES",
        "F_POV",
        "F_UNEMP",
        "F_PCI",
        "F_NOHSDP",
        "F_THEME1",
        "F_AGE65",
        "F_AGE17",
        "F_DISABL",
        "F_SNGPNT",
        "F_THEME2",
        "F_MINRTY",
        "F_LIMENG",
        "F_THEME3",
        "F_MUNIT",
        "F_MOBILE",
        "F_CROWD",
        "F_NOVEH",
        "F_GROUPQ",
        "F_THEME4",
        "F_TOTAL",
        "E_UNINSUR",
        "M_UNINSUR",
        "EP_UNINSUR",
        "MP_UNINSUR",
        "E_DAYPOP"
      ],
      "rows": 100,
      "table": true,
      "tojson": true
    },
    {
      "name": "triad_counties",
      "title": "List of Triad Counties",
      "object": "triad_counties",
      "class": [
        "character"
      ],
      "fields": [],
      "table": false,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "aerosol_concentration",
      "title": "Aerosol Concentration",
      "topics": [
        "aerosol_concentration"
      ]
    },
    {
      "page": "aerosol_emission",
      "title": "Aerosol Emission per Hour",
      "topics": [
        "aerosol_emission"
      ]
    },
    {
      "page": "calc_risk",
      "title": "Converts Infected persons, Number of Contact and Population to the associated probability of a contact",
      "topics": [
        "calc_risk"
      ]
    },
    {
      "page": "calculate_community_immunity",
      "title": "Calculating Community Immunity",
      "topics": [
        "calculate_community_immunity"
      ]
    },
    {
      "page": "calculate_shannon",
      "title": "Calculate Shannon Index for a Series",
      "topics": [
        "calculate_shannon"
      ]
    },
    {
      "page": "calculate_transmission_increase",
      "title": "Transmission Increase",
      "topics": [
        "calculate_transmission_increase"
      ]
    },
    {
      "page": "cone_region",
      "title": "Regions in Cone Region of Service",
      "topics": [
        "cone_region"
      ]
    },
    {
      "page": "covid_mortality_data",
      "title": "Mortality Estimates from Verity Et Al for Covid",
      "topics": [
        "covid_mortality_data"
      ]
    },
    {
      "page": "decrease_cases",
      "title": "Decrease Cases",
      "topics": [
        "decrease_cases"
      ]
    },
    {
      "page": "effective_ve_wane",
      "title": "Vaccine Effectiveness",
      "topics": [
        "effective_ve_wane"
      ]
    },
    {
      "page": "epi_convolve",
      "title": "Convolution",
      "topics": [
        "epi_convolve"
      ]
    },
    {
      "page": "epi_finalsize",
      "title": "Final Size of An Epidemic",
      "topics": [
        "epi_finalsize"
      ]
    },
    {
      "page": "generate_vax_coverage_age",
      "title": "Vaccine Coverage by Age",
      "topics": [
        "generate_vax_coverage_age"
      ]
    },
    {
      "page": "get_cdc_detail",
      "title": "Retrieve CDC COVID-19 Spread by County",
      "topics": [
        "get_cdc_detail"
      ]
    },
    {
      "page": "get_cdc_vax",
      "title": "Retrieve CDC Vaccination Rates by County",
      "topics": [
        "get_cdc_vax"
      ]
    },
    {
      "page": "get_county_covid_demographics",
      "title": "Get Reported Demographics by County",
      "topics": [
        "get_county_covid_demographics"
      ]
    },
    {
      "page": "get_county_tests",
      "title": "Pull Testing Information at County Level",
      "topics": [
        "get_county_tests"
      ]
    },
    {
      "page": "get_covid_county_plus",
      "title": "Append Additional Information to COVID-19 Count Information",
      "topics": [
        "get_covid_county_plus"
      ]
    },
    {
      "page": "get_covid_demographics",
      "title": "Pull Covid-19 Demographics",
      "topics": [
        "get_covid_demographics"
      ]
    },
    {
      "page": "get_covid_state",
      "title": "Retrieve Covid19 Data",
      "topics": [
        "get_covid_state"
      ]
    },
    {
      "page": "get_covid_zip",
      "title": "Pull Covid Data by Zip Code",
      "topics": [
        "get_covid_zip"
      ]
    },
    {
      "page": "get_google_mobility",
      "title": "Get Google Mobility Data",
      "topics": [
        "get_google_mobility"
      ]
    },
    {
      "page": "get_google_mobility2",
      "title": "Get Google Mobility (Version 2) This is a helper function to automatically access Google's Mobility data for North Carolina Counties. It's a bit faster than `get_google_mobility` which downloads the entire csv for the world",
      "topics": [
        "get_google_mobility2"
      ]
    },
    {
      "page": "get_hospitalizations",
      "title": "Get Reported Hospitalisation Data",
      "topics": [
        "get_hospitalizations"
      ]
    },
    {
      "page": "get_vaccinations",
      "title": "Pull Vaccination Rates by County",
      "topics": [
        "get_vaccinations"
      ]
    },
    {
      "page": "get_vaccinations_demo",
      "title": "Pull Vaccinations by County and Demographic",
      "topics": [
        "get_vaccinations_demo"
      ]
    },
    {
      "page": "hit",
      "title": "Calculate Herd Immunity Threshold",
      "topics": [
        "hit"
      ]
    },
    {
      "page": "increase_cases",
      "title": "Increase Cases",
      "topics": [
        "increase_cases"
      ]
    },
    {
      "page": "infection_probability",
      "title": "Infection Probability",
      "topics": [
        "infection_probability"
      ]
    },
    {
      "page": "italy_rates",
      "title": "Italy Estimates",
      "topics": [
        "italy_rates"
      ]
    },
    {
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