ggsurveillance: Tools and 'ggplot2' Extensions for Infectious Disease Surveillance and Outbreak Investigation

Create epicurves or epigantt charts in 'ggplot2'. Prepare data for visualisation or other reporting for infectious disease surveillance and outbreak investigation. Includes functions to solve date based transformations for common reporting tasks, like (A) seasonal date alignment for respiratory disease surveillance, (B) date-based case binning based on specified time intervals like isoweek, epiweek, month and more, (C) automated detection and marking of the new year based on the date/datetime axis of the 'ggplot2'. An introduction on how to use epicurves can be found on the US CDC website (2012, <https://www.cdc.gov/training/quicklearns/epimode/index.html>).

Version: 0.1.1
Depends: R (≥ 4.1.0)
Imports: cli, dplyr, forcats, ggplot2, glue, ISOweek, lubridate, rlang, scales, stringr, tidyr, tidyselect, tsibble
Suggests: Hmisc, knitr, outbreaks, rmarkdown, spelling, testthat (≥ 3.0.0)
Published: 2025-01-31
DOI: 10.32614/CRAN.package.ggsurveillance
Author: Alexander Bartel ORCID iD [aut, cre]
Maintainer: Alexander Bartel <alexander.bartel at fu-berlin.de>
BugReports: https://github.com/biostats-dev/ggsurveillance/issues
License: GPL (≥ 3)
URL: https://ggsurveillance.biostats.dev, https://github.com/biostats-dev/ggsurveillance
NeedsCompilation: no
Language: en-GB
Materials: README NEWS
CRAN checks: ggsurveillance results

Documentation:

Reference manual: ggsurveillance.pdf
Vignettes: EpiCurves: epicurves in ggplot with ggsurveillance (source, R code)
EpiGantt: epigantt charts in ggplot with ggsurveillance (source, R code)
Seasonal Plots: Align case data for seasonal analysis (source, R code)

Downloads:

Package source: ggsurveillance_0.1.1.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries: r-release (arm64): ggsurveillance_0.1.1.tgz, r-oldrel (arm64): not available, r-release (x86_64): ggsurveillance_0.1.1.tgz, r-oldrel (x86_64): not available

Linking:

Please use the canonical form https://CRAN.R-project.org/package=ggsurveillance to link to this page.