Package: data4health
Title: A Practical Workflow for Health Data Wrangling
Version: 0.1.1
Authors@R: 
    c(person(given = "Daniela", family = "Lührsen", email = "daniela.luhrsen@bsc.es",
             role = c("aut", "cre"), comment = c(ORCID = "0009-0002-6340-5964")),
        person(given = "Carles", family = "Milà", email = "carles.milagarcia@bsc.es",
               role = c("aut"), comment = c(ORCID = "0000-0003-0470-0760")),
        person(given = "Raquel", family = "Lana", email = "raquel.lana@bsc.es",
               role = c("aut"), comment = c(ORCID = "0000-0002-7573-1364")),
        person(given = "Rachel", family = "Lowe", email = "rachel.lowe@bsc.es",
               role = c("aut"), comment = c(ORCID = "0000-0003-3939-7343")),
        person("Mark", "Adler", role = "cph", comment = "Author of src/blast.c"),
        person("Daniela", "Petruzalek", role = "cph",
                comment = "Author of src/dbc2dbf.c, see github.com/danicat/read.dbc"))
Description: Provides a streamlined workflow for cleaning,
        transforming, filtering, aggregating, and exporting
        epidemiological line list data. The package is designed for
        public health surveillance and clinical datasets where each row
        represents an individual case. It supports common
        data-wrangling tasks and multi-format data import/export (e.g.,
        'csv', 'rds', 'xlsx', 'json', 'dbf'). The functions are
        designed to be combined into a clear and reproducible pipeline
        while remaining flexible enough for use in standalone
        data-processing steps. 'data4health' is part of the '4health'
        toolkit, which integrates health, climate, land-use, and
        socioeconomic data workflows. More information on the '4health'
        tools can be found on the HARMONIZE website
        <https://harmonize-tools.org/toolkits>.
Imports: foreign, readxl, writexl, shiny, jsonlite, GHRexplore,
        lubridate, plotly, shinyAce
BugReports: https://gitlab.earth.bsc.es/ghr/data4health/-/issues
License: AGPL (>= 3)
Encoding: UTF-8
URL:
        https://bsc-es.github.io/GHRtools/docs/data4health/data4health.html
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), shinytest2, withr
Config/testthat/edition: 3
VignetteBuilder: knitr
Depends: R (>= 4.2.0)
LazyData: true
Config/Needs/website: rmarkdown
Config/roxygen2/version: 8.0.0
NeedsCompilation: yes
Packaged: 2026-07-07 17:19:10 UTC; root
Author: Daniela Lührsen [aut, cre] (ORCID:
        <https://orcid.org/0009-0002-6340-5964>), Carles Milà [aut]
        (ORCID: <https://orcid.org/0000-0003-0470-0760>), Raquel Lana
        [aut] (ORCID: <https://orcid.org/0000-0002-7573-1364>), Rachel
        Lowe [aut] (ORCID: <https://orcid.org/0000-0003-3939-7343>),
        Mark Adler [cph] (Author of src/blast.c), Daniela Petruzalek
        [cph] (Author of src/dbc2dbf.c, see
        github.com/danicat/read.dbc)
Maintainer: Daniela Lührsen <daniela.luhrsen@bsc.es>
Repository: https://cran.r-universe.dev
Date/Publication: 2026-07-07 09:40:08 UTC
RemoteUrl: https://github.com/cran/data4health
RemoteRef: HEAD
RemoteSha: 1934dd890e52a5010a896378e047ab3b13042a7b