2024
Integrating testing volume into bandit algorithms for infectious disease surveillance
Warren J, Prunas O, Paltiel A, Thornhill T, Gonsalves G. Integrating testing volume into bandit algorithms for infectious disease surveillance. Journal Of The Royal Statistical Society Series A (Statistics In Society) 2024, qnae090. DOI: 10.1093/jrsssa/qnae090.Peer-Reviewed Original Research
2021
Maximizing the Efficiency of Active Case Finding for SARS-CoV-2 Using Bandit Algorithms
Gonsalves GS, Copple JT, Paltiel AD, Fenichel EP, Bayham J, Abraham M, Kline D, Malloy S, Rayo MF, Zhang N, Faulkner D, Morey DA, Wu F, Thornhill T, Iloglu S, Warren JL. Maximizing the Efficiency of Active Case Finding for SARS-CoV-2 Using Bandit Algorithms. Medical Decision Making 2021, 41: 970-977. PMID: 34120510, PMCID: PMC8484027, DOI: 10.1177/0272989x211021603.Peer-Reviewed Original ResearchConceptsBandit algorithmsMobility dataThompson sampling algorithmWeb appFunctional prototypeTesting resourcesSequential decisionAlgorithmPartial informationSampling algorithmClassic problemDecision scienceSpatial correlationAllocationPoint distanceInformationResourcesDeploymentAppsDecisionsTradeoffHaystackPrototypeObjectsData