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# CITATION.cff file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "aedseo" in publications use:'
type: software
license: MIT
title: 'aedseo: Automated and Early Detection of Seasonal Epidemic Onset and Burden
  Levels'
version: 0.3.0
doi: 10.32614/CRAN.package.aedseo
abstract: A powerful tool for automating the early detection of seasonal epidemic
  onsets in time series data. It offers the ability to estimate growth rates across
  consecutive time intervals, calculate the sum of cases (SoC) within those intervals,
  and estimate seasonal onsets within user defined seasons. With use of a disease-specific
  threshold it also offers the possibility to estimate seasonal onset of epidemics.
  Additionally it offers the ability to estimate burden levels for seasons based on
  historical data. It is aimed towards epidemiologists, public health professionals,
  and researchers seeking to identify and respond to seasonal epidemics in a timely
  fashion.
authors:
- family-names: Otero
  given-names: Sofia Myrup
  email: smot@ssi.dk
  orcid: https://orcid.org/0009-0006-4953-614X
- family-names: Schou Telkamp
  given-names: Kasper
  email: kasper.telkamp@gmail.com
  orcid: https://orcid.org/0009-0001-5126-0190
- family-names: Christiansen
  given-names: Lasse Engbo
  email: lsec@ssi.dk
  orcid: https://orcid.org/0000-0001-5019-1931
repository: https://epiverse-connect.r-universe.dev
repository-code: https://github.com/ssi-dk/aedseo
commit: ca9153e35fdbc687b8652156ac3764d7ddfaef22
url: https://ssi-dk.github.io/aedseo/
date-released: '2025-05-22'
contact:
- family-names: Christiansen
  given-names: Lasse Engbo
  email: lsec@ssi.dk
  orcid: https://orcid.org/0000-0001-5019-1931