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Explaining COVID-19 mortality among immigrants in Sweden from a social determinants of health perspective (COVIS): protocol for a national register-based observational study
Stockholm University, Faculty of Social Sciences, Department of Public Health Sciences, Centre for Health Equity Studies (CHESS).ORCID iD: 0000-0001-9086-7588
Stockholm University, Faculty of Social Sciences, Department of Public Health Sciences, Centre for Health Equity Studies (CHESS).ORCID iD: 0000-0003-0800-0892
Stockholm University, Faculty of Social Sciences, Department of Sociology.ORCID iD: 0000-0003-3748-6270
Stockholm University, Faculty of Social Sciences, Department of Public Health Sciences, Centre for Health Equity Studies (CHESS).ORCID iD: 0000-0001-5772-5510
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2023 (English)In: BMJ Open, E-ISSN 2044-6055, Vol. 13, no 4, article id e070670Article in journal (Refereed) Published
Abstract [en]

Introduction Adopting a social determinants of health perspective, this project aims to study how disproportionate COVID-19 mortality among immigrants in Sweden is associated with social factors operating through differential exposure to the virus (eg, by being more likely to work in high-exposure occupations) and differential effects of infection arising from socially patterned, pre-existing health conditions, differential healthcare seeking and inequitable healthcare provision. Methods and analysis This observational study will use health (eg, hospitalisations, deaths) and sociodemographic information (eg, occupation, income, social benefits) from Swedish national registers linked using unique identity numbers. The study population includes all adults registered in Sweden in the year before the start of the pandemic (2019), as well as individuals who immigrated to Sweden or turned 18 years of age after the start of the pandemic (2020). Our analyses will primarily cover the period from 31 January 2020 to 31 December 2022, with updates depending on the progression of the pandemic. We will evaluate COVID-19 mortality differences between foreign-born and Swedish-born individuals by examining each mechanism (differential exposure and effects) separately, while considering potential effect modification by country of birth and socioeconomic factors. Planned statistical modelling techniques include mediation analyses, multilevel models, Poisson regression and event history analyses. Ethics and dissemination This project has been granted all necessary ethical permissions from the Swedish Ethical Review Authority (Dnr 2022-0048- 01) for accessing and analysing deidentified data. The final outputs will primarily be disseminated as scientific articles published in open-access peer-reviewed international journals, as well as press releases and policy briefs.

Place, publisher, year, edition, pages
2023. Vol. 13, no 4, article id e070670
Keywords [en]
COVID-19, INFECTIOUS DISEASES, SOCIAL MEDICINE
National Category
Clinical Medicine
Identifiers
URN: urn:nbn:se:su:diva-221739DOI: 10.1136/bmjopen-2022-070670ISI: 001057956000139PubMedID: 37094903Scopus ID: 2-s2.0-85153686923OAI: oai:DiVA.org:su-221739DiVA, id: diva2:1800823
Available from: 2023-09-28 Created: 2023-09-28 Last updated: 2023-09-28Bibliographically approved

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Juárez, Sol PiaHonkaniemi, HelenaAradhya, SiddarthaDebiasi, EnricoCederström, AgnetaMussino, EleonoraRostila, Mikael

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Juárez, Sol PiaHonkaniemi, HelenaAradhya, SiddarthaDebiasi, EnricoKatikireddi, Srinivasa VittalCederström, AgnetaMussino, EleonoraRostila, Mikael
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Centre for Health Equity Studies (CHESS)Department of Sociology
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