Have a personal or library account? Click to login
DESA: An R Package for Detecting Epidemics Using a School-Absenteeism Surveillance Framework Cover

DESA: An R Package for Detecting Epidemics Using a School-Absenteeism Surveillance Framework

Journal of Open Research Software
Volume 14 (2026): Issue 1
By: Vinay Joshy,  Zeny Feng,  Lorna Deeth,  Kayla Vanderkruk and  Justin Slater  
Open Access
|Feb 2026

Authors

Vinay Joshy

vjoshy98@gmail.com

Department of Mathematics and Statistics, University of Guelph

Zeny Feng

zfeng@uoguelph.ca

Department of Mathematics and Statistics, University of Guelph

Lorna Deeth

ldeeth@uoguelph.ca

Department of Mathematics and Statistics, University of Guelph

Kayla Vanderkruk

kayla.vanderkruk@gmail.com

Unity Health Toronto

Justin Slater

jslate04@uoguelph.ca

Department of Mathematics and Statistics, University of Guelph
DOI: https://doi.org/10.5334/jors.634 | Journal eISSN: 2049-9647
Journal RSS Feed
Language: English
Submitted on: Oct 20, 2025
|
Accepted on: Jan 22, 2026
|
Published on: Feb 26, 2026
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year
Keywords:
Epidemics,
surveillance,
alert metrics,
detection models,
epidemic simulation

© 2026 Vinay Joshy, Zeny Feng, Lorna Deeth, Kayla Vanderkruk, Justin Slater, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.

Previous articleVolume 14 (2026): Issue 1