Mpox stigma in the UK and implications for future outbreak control: a cross-sectional mixed methods study
Notice bibliographique
Résumé
Abstract Background Stigma emerged as a prominent public health challenge in the global mpox outbreak that began in 2022, impeding outbreak control efforts and the well-being of affected individuals. Addressing stigma is important for improving infection prevention and control. Despite frequent mention in public and policy discourse, robust assessment of mpox stigma is lacking. This study investigated the causes, manifestations, and impacts of mpox-related stigma in the UK, focusing on anticipated stigma among directly and indirectly affected communities. Methods We conducted an online, mixed-methods cross-sectional survey to assess mpox stigma. We developed and content validated a new tool, the Stigma Survey and Community-based Assessment for New and Re-emerging outbreaks (Stigma-SCANR) for this purpose. Through quota sampling, the survey targeted populations most affected by mpox at the time of data collection (March–July 2024), including gay, bisexual, and other men who have sex with men (GBMSM), and healthcare workers. The survey primarily explored anticipated stigma. Respondents with previous mpox diagnoses were asked about personal experiences of stigma. Results Of 479 respondents who initiated the survey, 437 (91%) were included in analyses. In modules related to drivers of stigma, pre-existing prejudices towards associated groups such as GBMSM and migrants were emphasised, alongside fear and misinformation. On average, respondents anticipated higher levels of negative judgement and unwarranted avoidance compared to other forms of social stigma, particularly from casual partners and the public. Among the 13 respondents who reported a previous mpox diagnosis, 11 (85%) had experienced mpox-related stigma. Nearly a quarter of respondents (24%) said they would not, or were unlikely to, tell a recent sexual partner about an mpox diagnosis. Feelings of shame were considered the most common barrier to care-seeking (299 respondents, 68%). Conclusions This analysis of mpox stigma in the UK offers insights for international outbreak response, particularly in countries with similarly affected communities. Lessons learnt may also be transferable to other disease outbreaks. We propose practical recommendations for reducing stigma in future outbreaks, including peer support initiatives, distributing accessible information about safe timelines for returning to socialising and work or school, and co-designing public communications and contact tracing programmes with affected community members.
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,046 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».