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aeddo

aeddo:Automated and Early Detection of Disease Outbreaks

aeddo is an R package that provides a cutting-edge solution for theautomated and early detection of disease outbreaks in time series data.This innovative tool leverages hierarchical models in a novel way toinfer one-step ahead random effects, which are subsequently used toidentify and characterize disease outbreaks.

Why aeddo?

Epidemiologists, public health professionals, and researchers areoften challenged by the need to detect disease outbreaks promptly.Timely identification is critical for implementing appropriate controlmeasures and mitigating the impact of outbreaks. aeddo is designed toaddress this challenge and offer a range of benefits:

• Innovative Approach: aeddo employs hierarchicalmodels to estimate one-step ahead random effects, enabling earlydetection of outbreaks in disease data. This approach is a game-changerin epidemiological analysis.
• Effectively Controls False Alarms: aeddo’sapplications are broad and relevant across the field of epidemiology. Itsupports professionals and researchers in various domains, includingpublic health, epidemiological research, and data analysis, whileeffectively controlling the number of false alarms.
• Real-time Insights: By providing prospectivedetection capabilities, aeddo offers real-time insights into diseaseoutbreak patterns. This is invaluable for making data-driven decisionsand implementing timely interventions.

Installation

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

Development version

You can install the development version ofaeddo fromGitHub with:

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

Start leveraging aeddo today to gain a unique perspective on diseaseoutbreak detection in your time series data.

Get Started

Explore the package’s functions and features by referring to thedocumentation. Detailed examples and use cases are provided to help youmake the most of aeddo in your epidemiological work.

Contributions

Contributions to aeddo are welcomed. If you have suggestions, featurerequests, or encounter issues, please don’t hesitate to open anissue or submit apull request.