Evidence map›Paper›PMID 41017905›Full record

ArticleInterface focus2025

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

Diego S Silva, Sara Y Del Valle, Michael John Plank

Abstract read
In one paragraph

Article in Interface focus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Diego S SilvaSydney Health Ethics, School of Public Health, The University of Sydney, Sydney, New South Wales, 2006, Australia.ORCID https://orcid.org/0000-0002-8195-6404
Sara Y Del ValleInformation Systems and Modeling, Los Alamos National Laboratory, P.O. Box 1663, MS F608, Los Alamos, NM 87545, USA.ORCID https://orcid.org/0000-0002-0159-1952
Michael John PlankSchool of Mathematics and Statistics, University of Canterbury, Private Bag 4800, Christchurch 8020, New Zealand.ORCID https://orcid.org/0000-0002-7539-3465

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

disease control measuresepidemiological modellingequityinequalitiesjusticepopulation heterogeneity

Identifiers

PMID41017905
PMCPMC12464573

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.