Learn R Programming

Description

Infectious disease surveillance requires early outbreak detection. This package provides statistical tools for analyzing time-series monitoring data through three core methods:

a) EWMA (Exponentially Weighted Moving Average)
b) Modified-CUSUM (Modified Cumulative Sum)
c) Adjusted-Serfling models

Methodologies are based on:

- Wang et al. (2010) <doi:10.1016/j.jbi.2009.08.003>
- Wang et al. (2015) <doi:10.1371/journal.pone.0119923>

Designed for epidemiologists and public health researchers working with disease surveillance systems.

Copy Link

Version

Install

install.packages('WarnEpi')

Monthly Downloads

141

Version

1.0.1

License

GPL (>= 3)

Issues

Pull Requests

Stars

Forks

Maintainer

Mingyue Pan

Last Published

August 26th, 2025

Functions in WarnEpi (1.0.1)

EWMA

Exponentially Weighted Moving Average
aSerfling_predict

Apply Adjusted Serfling Model to Subsequent Time Periods
sample_ili

Simulated ILI Surveillance Data
mCUSUM

Modified Cumulative Sum
aSerfling

Adjusted Serfling