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# CITATION 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 "EpiSignalDetection" in publications use:'
type: software
license: EUPL-1.0
title: 'EpiSignalDetection: Signal Detection Analysis'
version: 0.1.1
doi: 10.32614/CRAN.package.EpiSignalDetection
abstract: 'Exploring time series for signal detection. It is specifically designed
  to detect possible outbreaks using infectious disease surveillance data at the European
  Union / European Economic Area or country level. Automatic detection tools used
  are presented in the paper "Monitoring count time series in R: aberration detection
  in public health surveillance", by Salmon et al. (2016) <https://doi.org/10.18637/jss.v070.i10>.
  The package includes: - Signal Detection tool, an interactive ''shiny'' application
  in which the user can import external data and perform basic signal detection analyses;
  - An automated report in HTML format, presenting the results of the time series
  analysis in tables and graphs. This report can also be stratified by population
  characteristics (see ''Population'' variable). This project was funded by the European
  Centre for Disease Prevention and Control.'
authors:
- family-names: Merdrignac
  given-names: Lore
  email: l.merdrignac@epiconcept.fr
- family-names: Gomes Dias
  given-names: Joana
  email: joana.gomes.dias@ecdc.europa.eu
- family-names: Kissling
  given-names: Esther
  email: e.kissling@epiconcept.fr
- family-names: Karki
  given-names: Tommi
  email: tommi.karki@ecdc.europa.eu
repository: https://epiverse-connect.r-universe.dev
commit: d214a275b974fb18fa673ee1d7e8606fc5d3ffd4
url: http://atlas.ecdc.europa.eu/public/index.aspx
date-released: '2018-10-29'
contact:
- family-names: Gomes Dias
  given-names: Joana
  email: joana.gomes.dias@ecdc.europa.eu