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

Parmar, Drupad and Morgan, Lucy and Titman, Andrew and Sanchez, Susan and Regnier, Eva (2021) Comparing Data Collection Strategies via Input Uncertainty When Simulating Testing Policies Using Viral Load Profiles. In: Winter Simulation Conference 2021, 2021-12-132021-12-16, Online. (In Press)

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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.

Item Type:
Contribution to Conference (Paper)
Journal or Publication Title:
Winter Simulation Conference 2021
ID Code:
156607
Deposited By:
Deposited On:
30 Jun 2021 16:10
Refereed?:
Yes
Published?:
In Press
Last Modified:
19 Nov 2021 14:21