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Tools for Outbreak Investigation/Infectious Disease Surveillance • ggsurveillance

Tools for Outbreak Investigation/Infectious Disease Surveillance • ggsurveillance

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AEO Score: 5/10

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In the Engagemii AEO index

ggsurveillance.biostats.dev

About Tools for Outbreak Investigation/Infectious Disease Surveillance • ggsurveillance

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>).

Key Topics

ggsurveillance

Details

Category: Technology

ggsurveillance.biostats.dev

AI Visibility Breakdown

1

Structured Data

8

Content Structure

5

Entity Clarity

3

E-E-A-T Signals

8

Technical AEO

5

AI Discoverability

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Source & Attribution

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.

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