Evidence map›Paper›PMID 40316635›Full record

ArticleScientific reports2025

An hourglass model for conceptualising stigma in infectious disease outbreaks.

Amy Paterson, Benjamin Jones, Olive Kabajaasi, Ashleigh Cheyne, Harun Tulunay, Kkunsa Hadson, Jeni Stolow, Nina Gobat, Piero Olliaro, Amanda Rojek

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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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

10 authors.

Amy PatersonPandemic Sciences Institute, University of Oxford, Old Road Campus, Roosevelt Drive, Oxford, OX3 7DQ, UK. amy.paterson@ndm.ox.ac.uk.
Benjamin JonesNuffield Department of Medicine, Health Systems Collaborative, Oxford, UK.
Olive KabajaasiWalimu, Yuri Gagarin Rd, Kampala, Uganda.
Ashleigh CheynePandemic Sciences Institute, University of Oxford, Old Road Campus, Roosevelt Drive, Oxford, OX3 7DQ, UK.
Harun TulunayPositively UK, 14 St. Marys House, Chillingworth Road, London, N7 8SH, UK.
Kkunsa HadsonMedical and Molecular Laboratories, Kyanja, Kampala, Uganda.
Jeni StolowTulane University School of Public Health and Tropical Medicine, New Orleans, LA, USA.
Nina GobatNuffield Department of Primary Care Health Services, University of Oxford, 32 Woodstock Road, Oxford, OX2 6HT, UK.
Piero OlliaroPandemic Sciences Institute, University of Oxford, Old Road Campus, Roosevelt Drive, Oxford, OX3 7DQ, UK.
Amanda RojekPandemic Sciences Institute, University of Oxford, Old Road Campus, Roosevelt Drive, Oxford, OX3 7DQ, UK.

Funding

World Health Organization 001
6 · The paper itself

Abstract

Stigma is widely observed during (re)emerging infectious disease outbreaks, contributing to psychological distress, social isolation, and care-seeking hesitancy. Despite this, it is often inadequately addressed in public health responses, partly due to the lack of a fit-for-purpose approach. The objective of this study was to develop a conceptual model to facilitate structured consideration of stigma during (re)emerging disease outbreaks. We conducted 34 in-depth interviews with international stakeholders across 25 outbreak-prone diseases, including emergency response leaders, frontline responders, researchers, and community advocates. We analysed transcripts using thematic analysis, integrating insights from social and behavioural theories to refine the model. We introduce the hourglass stigma model, a theory-informed conceptualisation of stigma in outbreaks. The model consists of five domains (major themes): context, thoughts, emotions, manifestations, and impact. Within each domain there are key considerations, such as the influence of response measures on concealability (context), the association of certain diseases with 'dirtiness' due to hygiene-dominant messaging (thoughts), the negative effects of fear-based appeals (emotions), the enactment of stigma due to unconscious bias (manifestations), and the enduring consequences of (mis)trust in institutions (impact). The hourglass model can be used to inform operational tools, ensuring stigma is adequately addressed in outbreak preparedness and response activities.

Indexed as

Communicable DiseasesDisease OutbreaksSocial StigmaFemaleHumansMaleConceptual modelDiscriminationEmerging infectious diseasesOutbreakPandemic preparednessStigma

Identifiers

PMID40316635
PMCPMC12048598

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.