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data4health  

A Practical Workflow for Health Data Wrangling
View on CRAN: Click here


Download and install data4health package within the R console
Install from CRAN:
install.packages("data4health")

Install from Github:
library("remotes")
install_github("cran/data4health")

Install by package version:
library("remotes")
install_version("data4health", "0.1.1")



Attach the package and use:
library("data4health")
Maintained by
Daniela Lührsen
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-07-07
Latest Update: 2026-07-07
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>.
How to cite:
Daniela Lührsen (2026). data4health: A Practical Workflow for Health Data Wrangling. R package version 0.1.1, https://cran.r-project.org/web/packages/data4health. Accessed 14 Jul. 2026.
Previous versions and publish date:
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Complete documentation for data4health
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Full data4health package functions and examples
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