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ggsurveillance  

Tools for Outbreak Investigation/Infectious Disease Surveillance
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("ggsurveillance", "0.5.2")



Attach the package and use:
library("ggsurveillance")
Maintained by
Alexander Bartel
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-01-31
Latest Update: 2025-07-02
Description:
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>).
How to cite:
Alexander Bartel (2025). ggsurveillance: Tools for Outbreak Investigation/Infectious Disease Surveillance. R package version 0.5.2, https://cran.r-project.org/web/packages/ggsurveillance. Accessed 13 Mar. 2026.
Previous versions and publish date:
0.1.1 (2025-01-31 16:50), 0.1.2 (2025-02-11 18:00), 0.2.0 (2025-03-02 11:40), 0.3.0 (2025-04-11 21:30), 0.4.0 (2025-05-10 00:50), 0.5.0 (2025-07-01 18:10), 0.5.1 (2025-07-02 12:00)
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Complete documentation for ggsurveillance
Functions, R codes and Examples using the ggsurveillance R package
Full ggsurveillance package functions and examples
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