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A proactive/reactive mass screening approach with uncertain symptomatic cases

PLoS computational biology, 2024-08, Vol.20 (8), p.e1012308

2024

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A robust pooled testing approach to expand COVID-19 screening capacity

PloS one, 2021-02, Vol.16 (2), p.e0246285-e0246285

2021

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A methodology for deriving the sensitivity of pooled testing, based on viral load progression and pooling dilution

Journal of translational medicine, 2019-08, Vol.17 (1), p.252-252, Article 252

2019

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An optimization-based framework to minimize the spread of diseases in social networks with heterogeneous nodes

IIE transactions, 2024-02, Vol.ahead-of-print (ahead-of-print), p.1-15

2024

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Capturing the dilution effect of risk‐based grouping with application to COVID‐19 screening

Naval research logistics, 2024-07

2024

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Quantifying the benefits of customized vaccination strategies: A network‐based optimization approach

Naval research logistics, 2024-02, Vol.71 (1), p.64-86

2024

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Optimal clustering of frequency data with application to disease risk categorization

IIE transactions, 2022-08, Vol.54 (8), p.728-740

2022

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A heuristic scheme for multivariate set partitioning problems with application to classifying heterogeneous populations for multiple binary attributes

IIE transactions, 2022-06, Vol.54 (6), p.537-549

2022

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Optimal Screening of Populations with Heterogeneous Risk Profiles Under the Availability of Multiple Tests

INFORMS journal on computing, 2022-01, Vol.34 (1), p.150-164

2022

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Optimal unlabeled set partitioning with application to risk-based quarantine policies

IIE transactions, 2024-02, Vol.ahead-of-print (ahead-of-print), p.1-13

2024

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Optimal targeted mass screening in non‐uniform populations with multiple tests and schemes

Naval research logistics, 2024-02, Vol.71 (1), p.87-108

2024

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Editorial: management science for pandemic prevention, preparedness, and response

Health care management science, 2024-09, Vol.27 (3), p.479-482

2024

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An optimization framework for large-scale screening under limited testing capacity with application to COVID-19

Health care management science, 2024-06, Vol.27 (2), p.223-238

2024

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Optimal Risk-Based Group Testing

Management science, 2019-09, Vol.65 (9), p.4365-4384

2019

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Determining large-strain metal plasticity parameters using in situ measurements of plastic flow past a wedge

Proceedings of the Royal Society. A, Mathematical, physical, and engineering sciences, 2023-07, Vol.479 (2275)

2023

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Pricing Asian options via compound gamma and orthogonal polynomials

Applied mathematics and computation, 2015-08, Vol.264, p.21-43

2015

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Spatiotemporal vaccine allocation policies for epidemics with behavioral feedback dynamics

Naval research logistics, 2024-02, Vol.71 (1), p.109-139

2024

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The impact of early large-scale screening on the evolution of pandemics

IISE transactions, 2024-04, p.1-15

2024

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A data-driven simulation approach to quantify the effect of group counseling on system performance of college counseling centers

Journal of American college health, 2023-10, p.1-15

2023

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

INFORMS journal on computing, 2020-10, Vol.32 (4), p.895-911, Article ijoc.2019.0942

2020

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Adaptive risk-based pooling in public health screening

IIE transactions, 2018-09, Vol.50 (9), p.753-766

2018

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Screening multi‐dimensional heterogeneous populations for infectious diseases under scarce testing resources, with application to COVID‐19

Naval research logistics, 2022-02, Vol.69 (1), p.3-20

2022

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Sequential prevalence estimation with pooling and continuous test outcomes

Statistics in medicine, 2018-07, Vol.37 (15), p.2391-2426

2018

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A quantitative simulation–based modeling approach for college counseling centers

Simulation (San Diego, Calif.), 2023-08, Vol.99 (8), p.791-815

2023

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An Optimization-Based Order-and-Cut Approach for Fair Clustering of Data Sets

INFORMS journal on data science, 2023-08

2023

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A proactive/reactive mass screening approach with uncertain symptomatic cases

A robust pooled testing approach to expand COVID-19 screening capacity

A methodology for deriving the sensitivity of pooled testing, based on viral load progression and pooling dilution

An optimization-based framework to minimize the spread of diseases in social networks with heterogeneous nodes

Capturing the dilution effect of risk‐based grouping with application to COVID‐19 screening

Quantifying the benefits of customized vaccination strategies: A network‐based optimization approach

Optimal clustering of frequency data with application to disease risk categorization

A heuristic scheme for multivariate set partitioning problems with application to classifying heterogeneous populations for multiple binary attributes

Optimal Screening of Populations with Heterogeneous Risk Profiles Under the Availability of Multiple Tests

Optimal unlabeled set partitioning with application to risk-based quarantine policies

Optimal targeted mass screening in non‐uniform populations with multiple tests and schemes

Editorial: management science for pandemic prevention, preparedness, and response

An optimization framework for large-scale screening under limited testing capacity with application to COVID-19

Optimal Risk-Based Group Testing

Determining large-strain metal plasticity parameters using in situ measurements of plastic flow past a wedge

Pricing Asian options via compound gamma and orthogonal polynomials

Spatiotemporal vaccine allocation policies for epidemics with behavioral feedback dynamics

The impact of early large-scale screening on the evolution of pandemics

A data-driven simulation approach to quantify the effect of group counseling on system performance of college counseling centers

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

Adaptive risk-based pooling in public health screening

Screening multi‐dimensional heterogeneous populations for infectious diseases under scarce testing resources, with application to COVID‐19

Sequential prevalence estimation with pooling and continuous test outcomes

A quantitative simulation–based modeling approach for college counseling centers

An Optimization-Based Order-and-Cut Approach for Fair Clustering of Data Sets

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