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  • ViralLoadModelling_WSC_21_final

    Rights statement: ©2022 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

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Comparing Data Collection Strategies via Input Uncertainty When Simulating Testing Policies Using Viral Load Profiles

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

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Standard

Comparing Data Collection Strategies via Input Uncertainty When Simulating Testing Policies Using Viral Load Profiles. / Parmar, Drupad; Morgan, Lucy; Titman, Andrew et al.
WSC '21: Proceedings of the Winter Simulation Conference. IEEE Press, 2022. 101.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

Harvard

Parmar, D, Morgan, L, Titman, A, Regnier, E & Sanchez, S 2022, Comparing Data Collection Strategies via Input Uncertainty When Simulating Testing Policies Using Viral Load Profiles. in WSC '21: Proceedings of the Winter Simulation Conference., 101, IEEE Press, Winter Simulation Conference 2021, 13/12/21. https://doi.org/10.5555/3522802.3522874

APA

Parmar, D., Morgan, L., Titman, A., Regnier, E., & Sanchez, S. (2022). Comparing Data Collection Strategies via Input Uncertainty When Simulating Testing Policies Using Viral Load Profiles. In WSC '21: Proceedings of the Winter Simulation Conference Article 101 IEEE Press. https://doi.org/10.5555/3522802.3522874

Vancouver

Parmar D, Morgan L, Titman A, Regnier E, Sanchez S. Comparing Data Collection Strategies via Input Uncertainty When Simulating Testing Policies Using Viral Load Profiles. In WSC '21: Proceedings of the Winter Simulation Conference. IEEE Press. 2022. 101 Epub 2021 Dec 17. doi: 10.5555/3522802.3522874

Author

Parmar, Drupad ; Morgan, Lucy ; Titman, Andrew et al. / Comparing Data Collection Strategies via Input Uncertainty When Simulating Testing Policies Using Viral Load Profiles. WSC '21: Proceedings of the Winter Simulation Conference. IEEE Press, 2022.

Bibtex

@inproceedings{6dee945419ea480db3015f63e0895c0c,
title = "Comparing Data Collection Strategies via Input Uncertainty When Simulating Testing Policies Using Viral Load Profiles",
abstract = "Temporal profiles of viral load have individual variability and are used to determine whether individuals are infected based on some limit of detection. Modelling and simulating viral load profiles allows for the performance of testing policies to be estimated, however viral load behaviour can be very uncertain. We describe an approach for studying the input uncertainty passed to simulated policy performance when viral load profiles are estimated from different data collection strategies. Our example shows that comparing the strategies solely based on input uncertainty is inappropriate due to the differences in confidence interval coverage caused by negatively biased simulation outputs.",
author = "Drupad Parmar and Lucy Morgan and Andrew Titman and Eva Regnier and Susan Sanchez",
note = "{\textcopyright}2022 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.; Winter Simulation Conference 2021, WSC '21 ; Conference date: 13-12-2021 Through 16-12-2021",
year = "2022",
month = feb,
day = "28",
doi = "10.5555/3522802.3522874",
language = "English",
booktitle = "WSC '21: Proceedings of the Winter Simulation Conference",
publisher = "IEEE Press",

}

RIS

TY - GEN

T1 - Comparing Data Collection Strategies via Input Uncertainty When Simulating Testing Policies Using Viral Load Profiles

AU - Parmar, Drupad

AU - Morgan, Lucy

AU - Titman, Andrew

AU - Regnier, Eva

AU - Sanchez, Susan

N1 - ©2022 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

PY - 2022/2/28

Y1 - 2022/2/28

N2 - Temporal profiles of viral load have individual variability and are used to determine whether individuals are infected based on some limit of detection. Modelling and simulating viral load profiles allows for the performance of testing policies to be estimated, however viral load behaviour can be very uncertain. We describe an approach for studying the input uncertainty passed to simulated policy performance when viral load profiles are estimated from different data collection strategies. Our example shows that comparing the strategies solely based on input uncertainty is inappropriate due to the differences in confidence interval coverage caused by negatively biased simulation outputs.

AB - Temporal profiles of viral load have individual variability and are used to determine whether individuals are infected based on some limit of detection. Modelling and simulating viral load profiles allows for the performance of testing policies to be estimated, however viral load behaviour can be very uncertain. We describe an approach for studying the input uncertainty passed to simulated policy performance when viral load profiles are estimated from different data collection strategies. Our example shows that comparing the strategies solely based on input uncertainty is inappropriate due to the differences in confidence interval coverage caused by negatively biased simulation outputs.

U2 - 10.5555/3522802.3522874

DO - 10.5555/3522802.3522874

M3 - Conference contribution/Paper

BT - WSC '21: Proceedings of the Winter Simulation Conference

PB - IEEE Press

T2 - Winter Simulation Conference 2021

Y2 - 13 December 2021 through 16 December 2021

ER -