⚡ This is your brand? Claim your page free and bring it to life on AI search.
AEO Score: 5/10
Monitoring for AI engine activity
In the Engagemii AEO index
Create epicurves, epigantt charts, and diverging bar charts using ggplot2. Prepare data for visualisation or other reporting for infectious disease surveillance and outbreak investigation (time series data). Includes tidy 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, (D) labelling of the last value of a time-series. 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>).
Category: Technology
ggsurveillance.biostats.dev1
Structured Data
8
Content Structure
5
Entity Clarity
3
E-E-A-T Signals
8
Technical AEO
5
AI Discoverability
Is this your brand?
Claim your free page to manage and improve your AI visibility score.
Tech buyers are the most research-intensive shoppers on the internet.
Continue reading in your free Engagemii portalFree signup unlocks the full article plus your personalized AEO fix list for Tools for Outbreak Investigation/Infectious Disease Surveillance • ggsurveillance.
Scored by Engagemii on May 29, 2026. Methodology: engagemii.com/aeo/methodology
Source URL: https://engagemii.com/aeo/brands/ggsurveillance-biostats-dev
Cite this score: Engagemii (2026). "AEO Score for Tools for Outbreak Investigation/Infectious Disease Surveillance • ggsurveillance." Retrieved from https://engagemii.com/aeo/brands/ggsurveillance-biostats-dev
Licensed under CC BY 4.0. You may reuse this data with attribution: a visible link to engagemii.com.
Powered by Engagemii - AI Brand Discovery and AEO Platform