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DESA  

Detecting Epidemics using School Absenteeism
View on CRAN: Click here


Download and install DESA package within the R console
Install from CRAN:
install.packages("DESA")

Install from Github:
library("remotes")
install_github("cran/DESA")

Install by package version:
library("remotes")
install_version("DESA", "1.0.0")



Attach the package and use:
library("DESA")
Maintained by
Vinay Joshy
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-05-07
Latest Update: 2025-05-07
Description:
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) <doi:10.1186/s12889-023-15747-z> and Ward et al. (2019) <doi:10.1186/s12889-019-7521-7>.
How to cite:
Vinay Joshy (2025). DESA: Detecting Epidemics using School Absenteeism. R package version 1.0.0, https://cran.r-project.org/web/packages/DESA. Accessed 06 Mar. 2026.
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Complete documentation for DESA
Functions, R codes and Examples using the DESA R package
Full DESA package functions and examples
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