Including frameworks of public health ethics in computational modelling of infectious disease interventions

Decisions on public health interventions to control infectious diseases are often informed by computational models. Interpreting the predicted outcomes of a public health decision requires not only high-quality modelling but also an ethical framework for assessing the benefits and harms associated with different options. The design and specification of ethical frameworks matured independently of computational modelling, so many values recognized as important for ethical decision-making are missing from computational models. We demonstrate a proof-of-concept approach to incorporate multiple public health values into the evaluation of a simple computational model for vaccination against a pathogen such as SARS-CoV-2. By examining a bounded space of alternative prioritizations of three values relevant to public health ethics (aggregate clinical burden, equity in clinical burden, equity in adverse effects from vaccination), we identify value trade-offs, where the outcomes of optimal strategies differ depending on the ethical framework. This work demonstrates an approach to incorporating diverse values into decision criteria used to evaluate outcomes of models of infectious disease interventions.

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Publication Details

Journal
Interface Focus
Published
2025-09-26
DOI
https://doi.org/10.1098/rsfs.2025.0004
Citations
1
Primary Topic
Disaster Response and Management
Type
article
Field-Weighted Citation Impact
2.52
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Including frameworks of public health ethics in computational modelling of infectious disease interventions

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article

Including frameworks of public health ethics in computational modelling of infectious disease interventions

Cameron Zachreson, Julie A. Spencer, Alex E. Zarebski, Jessica E. Stockdale, Nefel Tellioglu, Wasiur R. KhudaBukhsh, Joel C. Miller
article en
1 citations

Abstract

Decisions on public health interventions to control infectious diseases are often informed by computational models. Interpreting the predicted outcomes of a public health decision requires not only high-quality modelling but also an ethical framework for assessing the benefits and harms associated with different options. The design and specification of ethical frameworks matured independently of computational modelling, so many values recognized as important for ethical decision-making are missing from computational models. We demonstrate a proof-of-concept approach to incorporate multiple public health values into the evaluation of a simple computational model for vaccination against a pathogen such as SARS-CoV-2. By examining a bounded space of alternative prioritizations of three values relevant to public health ethics (aggregate clinical burden, equity in clinical burden, equity in adverse effects from vaccination), we identify value trade-offs, where the outcomes of optimal strategies differ depending on the ethical framework. This work demonstrates an approach to incorporating diverse values into decision criteria used to evaluate outcomes of models of infectious disease interventions.

Interface FocusVol. 15(4)
Los Alamos National Laboratory (US), University of Nottingham (GB), The University of Melbourne (AU), Simon Fraser University (CA), La Trobe University (AU), University of Oxford (GB), Australian Wool Innovation (Australia) (AU), Peter Doherty Institute (AU), Physical Sciences (United States) (US), MRC Biostatistics Unit (GB)
Openalex Percentile: Top 10%
Disaster Response and Management
2.52
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