Related Experiment Video
Updated: Oct 25, 2025

Avian Influenza Surveillance with FTA Cards: Field Methods, Biosafety, and Transportation Issues Solved
Published on: August 2, 2011
Decoding influenza outbreaks in a rural region of the USA with archetypal analysis
Elham Bayat Mokhtari1, Erin L Landguth2, Stacey Anderson3
1Vaccine Research Center, National Institute of Allergy and Infectious Disease, National Institutes of Health, Bethesda, MD 20892, USA.
Abstract:
We present the first application of archetypal analysis for influenza data from 2010 to 2018 in Montana, USA. Using archetypes, we decompose the data into spatial and temporal components, allowing for a more informed analysis of spatial-temporal dynamic trends during an influenza season. Initially, we reduce the dimension of the set of counties by using a mutual information measure on the influenza time series to create a smaller, maximal mutual information network. Archetypal analysis then describes the relationship between influenza cases across counties and regions in Montana. Finally, we discuss the potential implications this analysis can have for infectious disease modeling, particularly where data is sparse and limited.
Related Concept Videos
Steps in Outbreak Investigation
Leaky Scanning
Statistical Methods for Analyzing Epidemiological Data
Principles of Disease Surveillance

