Development and evaluation of two approaches of visual sensitivity analysis to support epidemiological modeling

Development and evaluation of two approaches of visual sensitivity analysis to support epidemiological modeling

Computational modeling is a commonly used technology in many scientific disciplines and has played a noticeable role in combating the COVID-19 pandemic. Modeling scientists conduct sensitivity analysis frequently to observe and monitor the behavior of a model during its development and deployment. T...

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Bibliographic Details
Main Authors: Erik Rydow, Rita Borgo, Hui Fang, Thomas Torsney-Weir, Ben Swallow, Thibaud Porphyre, Cagatay Turkay, Min Chen
Format: Default Article
Published: 2022
Subjects:
Artificial intelligence not elsewhere classified
Theory of computation not elsewhere classified
Sensitivity analysis
Ensemble visualization
COVID-19
Epidemiological modeling
Epidemiology
Artificial Intelligence and Image Processing
Computation Theory and Mathematics
Online Access:https://hdl.handle.net/2134/21257793.v1
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https://hdl.handle.net/2134/21257793.v1

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