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).
- https://ggsurveillance.biostats.dev
- GitHub
- File a bug report
- ggsurveillance results
- ggsurveillance.pdf
- Version0.1.1
- R versionR (≥ 4.1.0)
- LicenseGPL (≥ 3)
- Needs compilation?No
- Languageen-GB
- Last release01/31/2025
Documentation
Team
Alexander Bartel
MaintainerShow author details
Insights
Last 30 days
This package has been downloaded 1,545 times in the last 30 days. That's enough downloads to impress a room full of undergrads. A commendable achievement indeed. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 46 times.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
This package has been downloaded 2,742 times in the last 365 days. Consider this 'mid-tier influencer' status—if it were a TikTok, it would get a nod from nieces and nephews. The day with the most downloads was Mar 04, 2025 with 96 downloads.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN
Binaries
Dependencies
- Imports13 packages
- Suggests6 packages