# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "DESA" in publications use:' type: software license: GPL-3.0-or-later title: 'DESA: Detecting Epidemics using School Absenteeism' version: 1.0.0 doi: 10.32614/CRAN.package.DESA abstract: 'Provides a comprehensive framework for early epidemic detection through school absenteeism surveillance. The package offers three core functionalities: (1) simulation of population structures, epidemic spread, and resulting school absenteeism patterns; (2) implementation of surveillance models that generate alerts for impending epidemics based on absenteeism data and (3) evaluation of alert timeliness and accuracy through alert time quality metrics to optimize model parameters. These tools enable public health officials and researchers to develop and assess early warning systems before implementation. Methods are based on research published in Vanderkruk et al. (2023) and Ward et al. (2019) .' authors: - family-names: Joshy given-names: Vinay email: joshy@uoguelph.ca - family-names: Feng given-names: Zeny email: zfeng@uoguelph.ca - family-names: Deeth given-names: Lorna email: ldeeth@uoguelph.ca - family-names: Slater given-names: Justin email: jslate04@uoguelph.ca - family-names: Vanderkruk given-names: Kayla email: kayla.vanderkruk@gmail.com repository: https://vjoshy.r-universe.dev repository-code: https://github.com/vjoshy/DESA commit: 5f647b7df6fad5b2fab2c8cde882c2603d0db246 url: https://github.com/vjoshy/DESA date-released: '2025-05-01' contact: - family-names: Joshy given-names: Vinay email: joshy@uoguelph.ca