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The Automated and Early Detection of Seasonal Epidemic Onset and BurdenLevels (aedseo) package provides a powerful tool for automating theearly detection of seasonal epidemic onsets in time series data. Itoffers the ability to estimate growth rates for consecutive timeintervals. With use of the average observations within those intervalsand an estimated disease-specific threshold it also offers thepossibility to estimate seasonal onset of epidemics. Additionally itoffers the ability to estimate burden levels for seasons based onhistorical data. It is aimed towards epidemiologists, public healthprofessionals, and researchers seeking to identify and respond toseasonal epidemics in a timely fashion.

# Install aedseo from CRANinstall.packages("aedseo")

You can install the development version ofaedseo fromGitHub with:

# install.packages("devtools")devtools::install_github("ssi-dk/aedseo")

To quickly get started withaedseo, follow these steps:

1. Install the package using the code provided above.
2. Load the package withlibrary(aedseo).
3. Create a time series data object (tsd) from your data using theto_time_series() function orgenerate_seasonal_data() functions.
4. Apply thecombined_seasonal_output() function to get acomprehensive seasonal analysis with seasonal onset and burdenlevels.

For a more detailed introduction to the workflow of this package, seetheGet Started vignette or run;vignette("aedseo").

We welcome contributions to theaedseo package. Feel free to openissues, submit pull requests, or provide feedback to help us improve.