sample_ili

A dataset containing 200 weeks of simulated influenza-like illness case counts.

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.

Mingyue Pan

WarnEpi

A Comprehensive Tool for Early Warning in Infectious Disease

Xiaoli Wang

sample_ili function

A data frame with 200 rows and 2 variables:<ul>
<li>date: Date of observation (weekly)</li>
<li>case: Integer count of reported cases</li>
</ul>

sample_ili: Simulated ILI Surveillance Data

Description

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