Common presentation of model output measures.

<div><p>Background</p><p>During public health crises such as the COVID-19 pandemic, decision-makers relied on infectious disease models to evaluate policy options. Often, there is a high degree of uncertainty in the evidence base underpinning these models. When there is incre...

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Bibliographic Details
Main Author:	Megan Wiggins (22351606) (author)
Other Authors:	Marie Varughese (7547096) (author), Ellen Rafferty (764369) (author), Sasha van Katwyk (8461356) (author), Christopher McCabe (206680) (author), Jeff Round (7372373) (author), Erin Kirwin (7547093) (author)
Published:	2025
Subjects:	Medicine Biotechnology Cancer Science Policy Computational Biology Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified standard text descriptions infectious disease modelling evidence base underpinning support decision making public health crises making policy decisions evaluate policy options toolkit contents based provides visual outputs infectious disease models evaluate decision risk decision risk associated communicating decision risk associated decision risk novel risk measure decision uncertainty toolkit visual outputs decision risk empowers decision quantitative measure policy option policy alternatives health economics risk visualizations risk measures downside risk xlink "> underlying uncertainty tools used quantitatively captures increased uncertainty includes instructions improved understanding high degree adapting methods 19 pandemic
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Common presentation of model output measures.

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