Automated and Early Detection of Disease Outbreaks R package aeddo version 0.1.1 A powerful tool for automating the early detection of disease outbreaks in time series data. 'aeddo' employs advanced statistical methods, including hierarchical models, in an innovative manner to effectively characterize outbreak signals. It is particularly useful for epidemiologists, public health professionals, and researchers seeking to identify and respond to disease outbreaks in a timely fashion. For a detailed reference on hierarchical models, consult Henrik Madsen and Poul Thyregod's book (2011), ISBN: 9781420091557. Software Imports: ggplot2, checkmate, dplyr, lifecycle, magrittr, purrr, tibble, tidyr, utils, rlang Suggests: knitr, MASS, rmarkdown, testthat (>= 3.0.0), zoo Lasse Engbo Christiansen <lsec@ssi.dk> Comprehensive R Archive Network (CRAN) Kasper Schou Telkamp [aut] (ORCID: <https://orcid.org/0009-0001-5126-0190>), Lasse Engbo Christiansen [aut, cre] (ORCID: <https://orcid.org/0000-0001-5019-1931>), Statens Serum Institut, SSI [cph, fnd] MIT + file LICENSE (https://CRAN.R-project.org/package=aeddo/LICENSE) 2023-11-27 application/tgz https://CRAN.R-project.org/package=aeddo doi:10.32614/CRAN.package.aeddo