Disproportionate infection, hospitalisation and death from COVID-19 in ethnic minority groups and Indigenous Peoples: an application of the Priority Public Health Conditions analytical framework

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Título: Disproportionate infection, hospitalisation and death from COVID-19 in ethnic minority groups and Indigenous Peoples: an application of the Priority Public Health Conditions analytical framework
Autor/es: Irizar, Patricia | Pan, Daniel | Taylor, Harry | Martin, Christopher A. | Katikireddi, Srinivasa Vittal | Kannangarage, Niluka Wijekoon | Gomez, Susana | La Parra-Casado, Daniel | Srinivas, Prashanth Nuggehalli | Diderichsen, Finn | Baggaley, Rebecca F. | Nellums, Laura B. | Koller, Theadora Swift | Pareek, Manish
Grupo/s de investigación o GITE: Investigación Social sobre Equidad y Diversidad (EQUIDIVERSIDAD)
Centro, Departamento o Servicio: Universidad de Alicante. Departamento de Sociología II
Palabras clave: COVID-19 | SARS-CoV-2 | Ethnicity | Race | Indigenous | Health inequity
Fecha de publicación: 8-ene-2024
Editor: Elsevier
Cita bibliográfica: eClinicalMedicine. 2024, 68: 102360. https://doi.org/10.1016/j.eclinm.2023.102360
Resumen: The COVID-19 pandemic has resulted in disproportionate consequences for ethnic minority groups and Indigenous Peoples. We present an application of the Priority Public Health Conditions (PPHC) framework from the World Health Organisation (WHO), to explicitly address COVID-19 and other respiratory viruses of pandemic potential. This application is supported by evidence that ethnic minority groups were more likely to be infected, implying differential exposure (PPHC level two), be more vulnerable to severe disease once infected (PPHC level three) and have poorer health outcomes following infection (PPHC level four). These inequities are driven by various interconnected dimensions of racism, that compounds with socioeconomic context and position (PPHC level one). We show that, for respiratory viruses, it is important to stratify levels of the PPHC framework by infection status and by societal, community, and individual factors to develop optimal interventions to reduce inequity from COVID-19 and future infectious diseases outbreaks.
Patrocinador/es: DP is funded by a NIHR Doctoral Research Fellowship (NIHR302338). RFB is funded by a NIHR Advanced Fellowship (NIHR302494). The funding for this work came via a grant to the World Health Organization (WHO) from the Government of Canada entitled “ACTA Health Systems and Response Connector Implementation Project: Strengthening the Foundations of COVID19 Response” and “Strengthening local and national Primary Health Care and Health Systems for the recovery and resilience of countries in the context of COVID-19”, that was commissioned to the University of Leicester. RFB and MP were supported by the National Institute for Health and Care Research (NIHR) Applied Research Collaboration East Midlands (ARC EM) and Leicester NIHR Biomedical Research Centre (BRC). MP is also funded by a NIHR Development and Skills Enhancement Award. PNS is supported by a grant from the DBT/Wellcome Trust India Alliance (IA/CRC/20/1/600007). SVK acknowledges funding from the Medical Research Council (MC_UU_00022/2) and the Scottish Government Chief Scientist Office (SPHSU17). DLPC acknowledges funding from WHO, Ministry of Health (Spain), and the AICO for consolidated groups of the Generalitat Valenciana (CIAICO/2021/019).
URI: http://hdl.handle.net/10045/139673
ISSN: 2589-5370
DOI: 10.1016/j.eclinm.2023.102360
Idioma: eng
Tipo: info:eu-repo/semantics/article
Derechos: © 2023 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
Revisión científica: si
Versión del editor: https://doi.org/10.1016/j.eclinm.2023.102360
Aparece en las colecciones:INV - EQUIDIVERSIDAD - Artículos de Revistas

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