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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 "mem" in publications use:'
type: software
license: GPL-2.0-or-later
title: 'mem: The Moving Epidemic Method'
version: '2.18'
doi: 10.32614/CRAN.package.mem
abstract: The Moving Epidemic Method, created by T Vega and JE Lozano (2012, 2015)
  <https://doi.org/10.1111/j.1750-2659.2012.00422.x>, <https://doi.org/10.1111/irv.12330>,
  allows the weekly assessment of the epidemic and intensity status to help in routine
  respiratory infections surveillance in health systems. Allows the comparison of
  different epidemic indicators, timing and shape with past epidemics and across different
  regions or countries with different surveillance systems. Also, it gives a measure
  of the performance of the method in terms of sensitivity and specificity of the
  alert week.
authors:
- family-names: Lozano
  given-names: Jose E.
  email: lozalojo@gmail.com
repository: https://epiverse-connect.r-universe.dev
repository-code: https://github.com/lozalojo/mem
commit: e8bbdcc1df8e31cbeb036ac5037f79b7375d976c
url: https://github.com/lozalojo/mem
date-released: '2023-06-20'
contact:
- family-names: Lozano
  given-names: Jose E.
  email: lozalojo@gmail.com