Addressing stigma in infectious disease outbreaks: a crucial step in pandemic preparedness.

emerging infectious diseases epidemic infectious disease outbreaks pandemic preparedness stigma

Journal

Frontiers in public health
ISSN: 2296-2565
Titre abrégé: Front Public Health
Pays: Switzerland
ID NLM: 101616579

Informations de publication

Date de publication:
2023
Historique:
received: 28 09 2023
accepted: 07 12 2023
medline: 8 1 2024
pubmed: 8 1 2024
entrez: 8 1 2024
Statut: epublish

Résumé

There is a complex interplay between infectious disease outbreaks and the stigmatization of affected persons and communities. Outbreaks are prone to precipitating stigma due to the fear, uncertainty, moralisation, and abatement of freedoms associated with many infectious diseases. In turn, this stigma hampers outbreak control efforts. Understanding this relationship is crucial to improving coordinated outbreak response. This requires valid and reliable methods for assessing stigma towards and within impacted communities. We propose adopting a cross-outbreak model for developing the necessary assessment tools. A stigma-informed approach must then be integrated into outbreak preparedness and response efforts to safeguard public health and promote inclusivity and compassion in future outbreaks.

Identifiants

pubmed: 38186713
doi: 10.3389/fpubh.2023.1303679
pmc: PMC10768929
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1303679

Informations de copyright

Copyright © 2023 Paterson, Olliaro and Rojek.

Déclaration de conflit d'intérêts

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Auteurs

Amy Paterson (A)

Pandemic Sciences Institute, University of Oxford, Oxford, United Kingdom.
Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa.

Piero L Olliaro (PL)

Pandemic Sciences Institute, University of Oxford, Oxford, United Kingdom.

Amanda Rojek (A)

Pandemic Sciences Institute, University of Oxford, Oxford, United Kingdom.

Classifications MeSH