Optimal Group Testing: Structural Properties and Robust Solutions, with Application to Public Health Screening

DOI10.1287/ijoc.2019.0942OpenAlexW3015422647MaRDI QIDQ5148172

Douglas R. Bish, Hrayer Aprahamian, Ebru K. Bish

Publication date: 1 February 2021

Published in: INFORMS Journal on Computing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1287/ijoc.2019.0942

zbMATH Keywords

robust optimizationgroup testingscreeningregret minimizationDorfman testing

Mathematics Subject Classification ID

Mathematical programming (90Cxx)

Related Items (3)

Screening multi‐dimensional heterogeneous populations for infectious diseases under scarce testing resources, with application to <scp>COVID</scp>‐19 ⋮ Optimal targeted mass screening in non‐uniform populations with multiple tests and schemes ⋮ An improved zig zag approach for competitive group testing

Cites Work

• Unnamed Item
• The dynamics of vector-borne relapsing diseases
• On the Lambert \(w\) function
• Informative Dorfman Screening
• Theory and Applications of Robust Optimization
• Regret in the Newsvendor Model with Partial Information
• The Price of Robustness
• A Generalized Binomial Group Testing Problem
• The Exact Solution to the Two-Stage Group-Testing Problem
• Robust Postdonation Blood Screening Under Prevalence Rate Uncertainty
• A Probabilistic Model for Minmax Regret in Combinatorial Optimization
• Bayesian Methods for Predicting Interacting Protein Pairs Using Domain Information
• Pooled Testing for HIV Screening: Capturing the Dilution Effect

This page was built for publication: Optimal Group Testing: Structural Properties and Robust Solutions, with Application to Public Health Screening