{
  "_id": "6a1edaa4b401979e7340f612",
  "Package": "epidict",
  "Title": "Epidemiology Data Dictionaries and Random Data Generators",
  "Version": "0.3.0",
  "Authors@R": "c(\nperson(\"Alexander\", \"Spina\", , \"aspina@appliedepi.org\", role = c(\"aut\", \"cre\"),\ncomment = c(ORCID = \"0000-0001-8425-1867\")),\nperson(\"Zhian N.\", \"Kamvar\", , \"zkamvar@gmail.com\", role = \"aut\",\ncomment = c(ORCID = \"0000-0003-1458-7108\")),\nperson(\"Lukas\", \"Richter\", role = \"aut\"),\nperson(\"Patrick\", \"Keating\", role = \"aut\"),\nperson(\"Annick\", \"Lenglet\", role = \"ctb\"),\nperson(\"Applied Epi Incorporated\", role = \"cph\"),\nperson(\"Medecins Sans Frontieres Operational Centre Amsterdam\", role = \"fnd\")\n)",
  "Description": "The 'R4EPIs' project <https://r4epi.github.io/sitrep/>\nseeks to provide a set of standardized tools for analysis of\noutbreak and survey data in humanitarian aid settings. This\npackage currently provides standardized data dictionaries from\nMedecins Sans Frontieres Operational Centre Amsterdam for\noutbreak scenarios (Acute Jaundice Syndrome, Cholera,\nDiphtheria, Measles, Meningitis) and surveys (Retrospective\nmortality and access to care, Malnutrition, Vaccination\ncoverage and Event Based Surveillance) - as described in the\nfollowing\n<https://scienceportal.msf.org/assets/standardised-mortality-surveys?utm_source=chatgpt.com>.\nIn addition, a data generator from these dictionaries is\nprovided. It is also possible to read in any Open Data Kit\nformat data dictionary.",
  "License": "GPL-3",
  "URL": "https://github.com/R4EPI/epidict/,\nhttps://r4epi.github.io/epidict/",
  "VignetteBuilder": "knitr",
  "Encoding": "UTF-8",
  "Roxygen": "list(markdown = TRUE)",
  "RoxygenNote": "7.3.3",
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  "Repository": "https://r4epi.r-universe.dev",
  "Date/Publication": "2026-01-20 11:14:50 UTC",
  "RemoteUrl": "https://github.com/r4epi/epidict",
  "RemoteRef": "HEAD",
  "RemoteSha": "af2929949cb2f1579c66aa32cdd9274d493a1af0",
  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-05-20 08:48:44 UTC",
    "User": "root"
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  "Author": "Alexander Spina [aut, cre] (ORCID:\n<https://orcid.org/0000-0001-8425-1867>),\nZhian N. Kamvar [aut] (ORCID: <https://orcid.org/0000-0003-1458-7108>),\nLukas Richter [aut],\nPatrick Keating [aut],\nAnnick Lenglet [ctb],\nApplied Epi Incorporated [cph],\nMedecins Sans Frontieres Operational Centre Amsterdam [fnd]",
  "Maintainer": "Alexander Spina <aspina@appliedepi.org>",
  "MD5sum": "2660f94029e169ac7b7072a418af8f3a",
  "_user": "r4epi",
  "_type": "src",
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  "_created": "2026-05-20T08:48:44.000Z",
  "_published": "2026-06-02T13:29:08.175Z",
  "_distro": "noble",
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  "_upstream": "https://github.com/r4epi/epidict",
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    "author": "Alex Spina <alexfspina@gmail.com>",
    "committer": "GitHub <noreply@github.com>",
    "message": "Merge pull request #32 from R4EPI/clean_dict_changes\n\nsubmit intersectional dict changes to cran",
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    "email": "aspina@appliedepi.org",
    "login": "aspina7",
    "bluesky": "@aspina.bsky.social",
    "description": "Epidemiologist\n",
    "uuid": 18347047,
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  "_selfowned": true,
  "_usedby": 1,
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  "_contributors": [
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    "name": "R for Epis",
    "description": "Improving operational response by advancing epidemiological analyses using R software"
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    "gen_data",
    "msf_dict",
    "msf_dict_rename_helper",
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      "title": "Generate random linelist or survey data",
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      "title": "MSF data dictionaries and dummy datasets",
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    },
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      "title": "Introduction to epidict",
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