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README.md
In WarnEpi: A Comprehensive Tool for Early Warning in Infectious Disease
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.
Try the WarnEpi package in your browser
Any scripts or data that you put into this service are public.
WarnEpi documentation built on Aug. 27, 2025, 9:10 a.m.
R Package Documentation
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We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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.
Try the WarnEpi package in your browser
Any scripts or data that you put into this service are public.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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