Sequential detection framework for real-time biosurveillance based on Shiryaev-Roberts procedure with illustrations using COVID-19 incidence data

DOI10.1080/07474946.2021.1912503zbMath1473.62282OpenAlexW3162062969MaRDI QIDQ4959340

Panagiotis Tsiamyrtzis, K. D. Zamba

Publication date: 13 September 2021

Published in: Sequential Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/07474946.2021.1912503

zbMATH Keywords

change pointsyndromic surveillanceShiryaev-Roberts procedureCOVID-19biosurveillanceBayesian sequential updatedynamic processing

Mathematics Subject Classification ID

Gaussian processes (60G15) Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15) Applications of statistics in engineering and industry; control charts (62P30) Stopping times; optimal stopping problems; gambling theory (60G40) Sequential statistical analysis (62L10)

Uses Software

• astsa
• BayesDA

Cites Work

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• Average run lengths of an optimal method of detecting a change in distribution
• A note on the run length of false alarm of a change-point detection policy
• A three-state recursive sequential Bayesian algorithm for biosurveillance
• Nonanticipating estimation applied to sequential analysis and changepoint detection
• Statistical Development of Quality in Medicine
• Rectangular Confidence Regions for the Means of Multivariate Normal Distributions
• On Optimum Methods in Quickest Detection Problems

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