# --------------------------------------------
# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
# --------------------------------------------
 
cff-version: 1.2.0
message: 'To cite package "memapp" in publications use:'
type: software
license: GPL-2.0-or-later
title: 'memapp: The Moving Epidemic Method Web Application'
version: '2.16'
doi: 10.32614/CRAN.package.memapp
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. 'memapp' is a web application created in the Shiny framework for the
  'mem' R package.
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/memapp
commit: 35d94958c738928def58253586583db94c6813f1
url: https://github.com/lozalojo/memapp
date-released: '2023-06-20'
contact:
- family-names: Lozano
  given-names: Jose E.
  email: lozalojo@gmail.com