An hourglass model for conceptualising stigma in infectious disease outbreaks

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.

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Publication Details

Journal
Scientific Reports
Published
2025-05-02
DOI
https://doi.org/10.1038/s41598-025-98995-w
Citations
6
Primary Topic
Vaccine Coverage and Hesitancy
Type
article
Field-Weighted Citation Impact
13.00
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article

An hourglass model for conceptualising stigma in infectious disease outbreaks

Nina Gobat, Olive Kabajaasi, Amanda Rojek, Jeni Stolow et al.
6 citations
Scientific Reports
Vaccine Coverage and Hesitancy
13.00
article

An hourglass model for conceptualising stigma in infectious disease outbreaks

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

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.

Scientific ReportsVol. 15(1)
Tulane University (US), University of Saint Mary (US), University of Oxford (GB), Menzies School of Health Research (AU), World Health Organization (CH), CRUK/MRC Oxford Institute for Radiation Oncology (GB)
Openalex Percentile: Top 1%
Vaccine Coverage and Hesitancy
13.00
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