influenza_germany

<p>A subset of the weekly German influenza surveillance data from January 2020 to January 2025.</p>

datasets

Create epicurves or epigantt charts in 'ggplot2'. Prepare
data for visualisation or other reporting for infectious disease
surveillance and outbreak investigation. 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'.
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>).

Alexander Bartel

ggsurveillance

Tools for Outbreak Investigation/Infectious Disease Surveillance

influenza_germany function

<p>An object of class <code>tbl_df</code> (inherits from <code>tbl</code>, <code>data.frame</code>) with 1037 rows and 4 columns.</p>

influenza_germany: Germany Influenza (FLU) Surveillance data

Description

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Details