GitHub - ssi-dk/aedseo: Automated and Early Detection of Seasonal Epidemic Onset and Burden Levels (original) (raw)
aedseo 
Description
The Automated and Early Detection of Seasonal Epidemic Onset and Burden Levels (aedseo
) package provides a powerful tool for automating the early detection of seasonal epidemic onsets in time series data. It offers the ability to estimate growth rates for consecutive time intervals. With use of the average observations within those intervals and an estimated disease-specific threshold it also offers the possibility to estimate seasonal onset of epidemics. Additionally it offers the ability to estimate burden levels for seasons based on historical data. It is aimed towards epidemiologists, public health professionals, and researchers seeking to identify and respond to seasonal epidemics in a timely fashion.
Installation
Install aedseo from CRAN
install.packages("aedseo")
Development version
You can install the development version of aedseo
fromGitHub with:
install.packages("devtools")
devtools::install_github("ssi-dk/aedseo")
Getting started
To quickly get started with aedseo
, follow these steps:
- Install the package using the code provided above.
- Load the package with
library(aedseo)
. - Create a time series data object (
tsd
) from your data using theto_time_series()
function orgenerate_seasonal_data()
functions. - Apply the
combined_seasonal_output()
function to get a comprehensive seasonal analysis with seasonal onset and burden levels.
Vignette
For a more detailed introduction to the workflow of this package, see the Get Started
vignette or run; vignette("aedseo")
.
Contributing
We welcome contributions to the aedseo
package. Feel free to open issues, submit pull requests, or provide feedback to help us improve.