Ethical considerations in infectious disease modelling for public health policy: the case of school closures

Mathematical models of infectious diseases are frequently used as a tool to support public health policy and decisions around the implementation of interventions such as school closures. However, most publications on policy-relevant modelling lack an ethical framework and do not explicitly consider the ethical implications of the work. This creates a risk that the unintended consequences of interventions are overlooked or that models are used to justify decisions that are inconsistent with public health ethics. In this article, we focus on the case study of school closures as a commonly modelled intervention against pandemic influenza, COVID-19 and other infectious disease threats. We briefly review some of the key concepts in public health ethics and describe approaches to modelling the effects of school closures. We then identify a series of ethical considerations involved in modelling school closures. These include accounting for population heterogeneity and inequalities; including a diversity of viewpoints and expertise in model design; considering the distribution of benefits and harms; and model transparency and contextualization. We conclude with some recommendations to ensure that policy-relevant modelling is consistent with some key ethics values.

Authors

Institutions

Publication Details

Journal
Interface Focus
Published
2025-09-26
DOI
https://doi.org/10.1098/rsfs.2025.0005
Citations
1
Primary Topic
Public Health Policies and Education
Type
article
Field-Weighted Citation Impact
2.82
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Ethical considerations in infectious disease modelling for public health policy: the case of school closures

Diego S. Silva, Sara Y. Del Valle, Michael J. Plank
1 citations
Interface Focus
Public Health Policies and Education
2.82
article

Ethical considerations in infectious disease modelling for public health policy: the case of school closures

Diego S. Silva, Sara Y. Del Valle, Michael J. Plank
article en
1 citations

Abstract

Mathematical models of infectious diseases are frequently used as a tool to support public health policy and decisions around the implementation of interventions such as school closures. However, most publications on policy-relevant modelling lack an ethical framework and do not explicitly consider the ethical implications of the work. This creates a risk that the unintended consequences of interventions are overlooked or that models are used to justify decisions that are inconsistent with public health ethics. In this article, we focus on the case study of school closures as a commonly modelled intervention against pandemic influenza, COVID-19 and other infectious disease threats. We briefly review some of the key concepts in public health ethics and describe approaches to modelling the effects of school closures. We then identify a series of ethical considerations involved in modelling school closures. These include accounting for population heterogeneity and inequalities; including a diversity of viewpoints and expertise in model design; considering the distribution of benefits and harms; and model transparency and contextualization. We conclude with some recommendations to ensure that policy-relevant modelling is consistent with some key ethics values.

Interface FocusVol. 15(4)
The University of Sydney (AU), Los Alamos National Laboratory (US), University of Canterbury (NZ)
Openalex Percentile: Top 8%
Public Health Policies and Education
2.82
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.