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cff-version: 1.2.0
message: 'To cite package "EpiSODIC" in publications use:'
type: software
license: GPL-2.0-only
title: 'EpiSODIC: Epidemiological Signal Observation, Detection, Identification, and
  Classification'
version: 0.24.0
doi: 10.32614/CRAN.package.EpiSODIC
abstract: An automated surveillance system for infectious disease epidemiologists
  that detects aberrations in laboratory-confirmed infections, records epidemiologist's
  formal assessment with a full audit trail, and produces outbreak reports for clinical
  colleagues and infection prevention nurses. Applies evidence-based statistical methods
  such as Improved Farrington (2013) <https://doi.org/10.1002/sim.5595> and 'EpiEstim'
  (Cori et al. 2013) <https://doi.org/10.1093/aje/kwt133>. Ships with a synthetic
  demo data set requiring no external data or infrastructure.
authors:
- family-names: Berends
  given-names: Matthijs S.
  email: m.berends@certe.nl
repository: https://certe-medical-epidemiology.r-universe.dev
repository-code: https://github.com/certe-medical-epidemiology/EpiSODIC
commit: 13d45390ccaf2352fea7e649d4577db13b54ce34
url: https://certe-medical-epidemiology.github.io/EpiSODIC
date-released: '2026-09-30'
contact:
- family-names: Berends
  given-names: Matthijs S.
  email: m.berends@certe.nl