Literature DB >> 32348054

[Left behind populations, COVID-19 and risks of health inequities : a guide of the local social-health network (Vaud, Switzerland)].

Patrick Bodenmann1, Brigitte Pahud-Vermeulen2, Laurence Bouche3, Javier Sanchis Zozaya4, Murielle Bauermeister5, Ahmed Berzig6.   

Abstract

Since the emergence of the COVID-19 pandemic, the Confederation has referred to « vulnerable populations » over the age of 65 and/or with co-morbidities as potentially at risk. This group should not overshadow other highly vulnerable populations such as forced migrants, people deprived of their liberty, and the homeless. In the context of the current pandemic, there is a risk of increasing inequities in care among these populations. In this practical article, we list the marginalized and disadvantaged left behind populations in the canton of Vaud and the issues of inequities in care in the context of the pandemic; we also present the implementation of procedures sometimes original, always inter-professional and interdisciplinary, specifying who the partners are and what the resources are for front-line caregivers.

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Year:  2020        PMID: 32348054

Source DB:  PubMed          Journal:  Rev Med Suisse        ISSN: 1660-9379


  3 in total

1.  Clinical outcomes and risk factors for COVID-19 among migrant populations in high-income countries: A systematic review.

Authors:  Sally E Hayward; Anna Deal; Cherie Cheng; Alison Crawshaw; Miriam Orcutt; Tushna F Vandrevala; Marie Norredam; Manuel Carballo; Yusuf Ciftci; Ana Requena-Méndez; Christina Greenaway; Jessica Carter; Felicity Knights; Anushka Mehrotra; Farah Seedat; Kayvan Bozorgmehr; Apostolos Veizis; Ines Campos-Matos; Fatima Wurie; Martin McKee; Bernadette Kumar; Sally Hargreaves
Journal:  J Migr Health       Date:  2021-04-22

2.  COVID-19-Related Health Literacy of Socioeconomically Vulnerable Migrant Groups.

Authors:  Didier Ruedin; Johanna Probst; Philippe Wanner; Denise Efionayi-Mäder; Patrick Bodenmann
Journal:  Int J Public Health       Date:  2022-06-15       Impact factor: 5.100

3.  Measuring geographical disparities in England at the time of COVID-19: results using a composite indicator of population vulnerability.

Authors:  Catia Nicodemo; Samira Barzin; Nicolo' Cavalli; Daniel Lasserson; Francesco Moscone; Stuart Redding; Mujaheed Shaikh
Journal:  BMJ Open       Date:  2020-09-29       Impact factor: 2.692

  3 in total

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