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aedseo  

Automated and Early Detection of Seasonal Epidemic Onset and Burden Levels
View on CRAN: Click here


Download and install aedseo package within the R console
Install from CRAN:
install.packages("aedseo")

Install from Github:
library("remotes")
install_github("cran/aedseo")

Install by package version:
library("remotes")
install_version("aedseo", "1.0.1")



Attach the package and use:
library("aedseo")
Maintained by
Lasse Engbo Christiansen
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-11-07
Latest Update: 2025-04-09
Description:
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 and calculate the sum of cases (SoC) within those intervals. It is particularly useful for epidemiologists, public health professionals, and researchers seeking to identify and respond to seasonal epidemics in a timely fashion. For reference on growth rate estimation, see Walling and Lipstich (2007) and Obadia et al. (2012) .
How to cite:
Lasse Engbo Christiansen (2023). aedseo: Automated and Early Detection of Seasonal Epidemic Onset and Burden Levels. R package version 1.0.1, https://cran.r-project.org/web/packages/aedseo. Accessed 18 Sep. 2026.
Previous versions and publish date:
(2026-07-09 07:17), 0.1.0 (2023-11-07 19:50), 0.1.1 (2023-11-16 15:43), 0.1.2 (2023-11-27 11:10), 0.3.0 (2025-04-09 11:20), 1.0.0 (2025-11-17 22:51), 1.0.1 (2025-11-20 18:50)
Other packages that cited aedseo R package
View aedseo citation profile
Other R packages that aedseo depends, imports, suggests or enhances
Complete documentation for aedseo
Functions, R codes and Examples using the aedseo R package
Some associated functions: aedseo-package . aedseo . autoplot . epi_calendar . fit_growth_rate . pipe . plot . predict.aedseo . summary.aedseo . tsd . 
Some associated R codes: aedseo-package.R . aedseo.R . autoplot.R . epi_calendar.R . fit_growth_rate.R . plot.R . predict.R . summary.R . tsd.R . utils-pipe.R .  Full aedseo package functions and examples
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