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      COVID-19, social determinants of transmission in the home. A population-based study

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          Abstract

          Background

          Studying transmission within the home is essential to understand the transmission dynamics of numerous infectious diseases. For Coronavirus Disease-2019 (COVID-19), transmission within the home constitutes the majority exposure context. The risk of infection in this setting can be quantified by the household/intra-family secondary attack rate (SAR). In the literature, there are discrepancies in these values and little information about its social determinants. The aim of this study was to investigate transmission in the home by analyzing the influence of occupational social class, country of origin and gender/sex.

          Methods

          This was a retrospective cohort study of a population registry of cohabiting contacts with COVID-19 cases diagnosed from 15 June to 23 December 2020, in the Murcia Region. The household SAR was analyzed considering the characteristics of the primary case (sex, age, symptoms, occupational social class, country of origin and number of people in the household) and contact (age and sex) using a multilevel binary logistic regression model.

          Results

          Among the 37 727 contacts included, the intra-family SAR was 39.1%. The contacts of confirmed primary cases in the migrant population (Africa and Latin America) had higher attack rates, even after adjusting for the other variables. Older age and female sex were independent risk factors for contracting Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) within the home.

          Conclusion

          There was greater intra-domiciliary transmission among immigrants, likely related to the conditions of the home and situation of social vulnerability. Women were more likely to be infected by transmission from a cohabiting infected individual.

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          Most cited references34

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          Household Transmission of SARS-CoV-2

          Key Points Question What is the household secondary attack rate for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)? Findings In this meta-analysis of 54 studies with 77 758 participants, the estimated overall household secondary attack rate was 16.6%, higher than observed secondary attack rates for SARS-CoV and Middle East respiratory syndrome coronavirus. Controlling for differences across studies, secondary attack rates were higher in households from symptomatic index cases than asymptomatic index cases, to adult contacts than to child contacts, to spouses than to other family contacts, and in households with 1 contact than households with 3 or more contacts. Meaning These findings suggest that households are and will continue to be important venues for transmission, even in areas where community transmission is reduced.
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            WHO European review of social determinants of health and the health divide

            The European region has seen remarkable heath gains in those populations that have experienced progressive improvements in the conditions in which people are born, grow, live, and work. However, inequities, both between and within countries, persist. The review reported here, of inequities in health between and within countries across the 53 Member States of the WHO European region, was commissioned to support the development of the new health policy framework for Europe: Health 2020. Much more is understood now about the extent, and social causes, of these inequities, particularly since the publication in 2008 of the report of the Commission on Social Determinants of Health. The European review builds on the global evidence and recommends policies to ensure that progress can be made in reducing health inequities and the health divide across all countries, including those with low incomes. Action is needed--on the social determinants of health, across the life course, and in wider social and economic spheres--to achieve greater health equity and protect future generations. Copyright © 2012 Elsevier Ltd. All rights reserved.
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              Propuestas de clase social neoweberiana y neomarxista a partir de la Clasificación Nacional de Ocupaciones 2011

              En España, la nueva Clasificación Nacional de Ocupaciones (CNO-2011), que ha variado sustancialmente respecto a la del año 1994, requiere la adaptación de la clase social ocupacional para ser utilizada en estudios de desigualdades en salud. En este artículo se presentan dos propuestas para medir la clase social: la nueva clasificación de clase social ocupacional (CSO-SEE12), basada en la CNO-2011, desde un enfoque neoweberiano, y una propuesta de clase social desde un enfoque neomarxista. La CSO-SEE12 se construye a partir de una revisión detallada de los códigos de la CNO-2011. Por su parte, la clase social neomarxista se establece a partir de variables sobre los bienes de capital, de organización y de cualificación. La CSO-SEE12 que se propone consta de siete clases sociales que pueden ser agrupadas en un número menor de categorías, según las necesidades del estudio. La clasificación neomarxista consta de 12 categorías, en las cuales las y los propietarios se dividen en tres categorías en función de los bienes de capital y las personas asalariadas en nueve categorías formadas a partir de los bienes de organización y cualificación. Estas propuestas se complementan con la proposición de una clasificación del nivel educativo que integra los diferentes planes de estudio en España, y ofrece las correspondencias con la Clasificación Internacional Normalizada de la Educación.
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                Author and article information

                Contributors
                Journal
                Eur J Public Health
                Eur J Public Health
                eurpub
                The European Journal of Public Health
                Oxford University Press
                1101-1262
                1464-360X
                June 2024
                23 February 2024
                23 February 2024
                : 34
                : 3
                : 427-434
                Affiliations
                Murcia Region Health Department , Murcia, Spain
                Teaching Unit of Preventive Medicine and Public Health , Murcia, Spain
                Murcia Region Health Department , Murcia, Spain
                Department of Epidemiology , Murcia, Spain
                CIBER in Epidemiology and Public Health (CIBERESP) , Madrid, Spain
                IMIB Arrixaca , Murcia, Spain
                Murcia Region Health Department , Murcia, Spain
                Department of Epidemiology , Murcia, Spain
                IMIB Arrixaca , Murcia, Spain
                Division of Preventive Medicine and Public Health, Department of Public Health Sciences, University of Murcia , Murcia, Spain
                Murcia Region Health Department , Murcia, Spain
                Planning and Health Financing Department , Murcia, Spain
                Murcia Region Health Department , Murcia, Spain
                Department of Epidemiology , Murcia, Spain
                IMIB Arrixaca , Murcia, Spain
                Government of Spain Ministry of Health, Health Promotion and Equity Area, Deputy Directorate General for Health Promotion and Prevention, Directorate General for Public Madrid, Comunidad de Madrid , Madrid, Spain
                TRAGSATEC, Management of Health, Food Safety and Public Health Madrid, Comunidad de Madrid , Madrid, Spain
                CIBER in Epidemiology and Public Health (CIBERESP) , Madrid, Spain
                IMIB Arrixaca , Murcia, Spain
                Department of Health & Social Sciences, University of Murcia, Murcia , Spain
                CIBER in Epidemiology and Public Health (CIBERESP) , Madrid, Spain
                Government of Spain Ministry of Health, Spain Centre for Health Alerts and Emergencies, Directorate General of Public Health, Ministry of Health Madrid, Comunidad de Madrid , Madrid, Spain
                Murcia Region Health Department , Murcia, Spain
                Department of Epidemiology , Murcia, Spain
                CIBER in Epidemiology and Public Health (CIBERESP) , Madrid, Spain
                IMIB Arrixaca , Murcia, Spain
                Division of Preventive Medicine and Public Health, Department of Public Health Sciences, University of Murcia , Murcia, Spain
                Author notes
                Correspondence: Jesús Soriano López, Teaching Unit of Preventive Medicine and Public Health, Avda. Ronda de Levante, 11 30100 Murcia, Spain, Tel: 692251474; Fax: 968 36 51 15; e-mail: jesus.soriano3@ 123456carm.es
                Author information
                https://orcid.org/0000-0001-7319-617X
                https://orcid.org/0000-0001-8442-8327
                https://orcid.org/0000-0001-8881-7717
                https://orcid.org/0009-0006-2059-2631
                https://orcid.org/0000-0002-8943-0175
                https://orcid.org/0000-0002-4574-6880
                https://orcid.org/0000-0001-9242-3040
                Article
                ckae016
                10.1093/eurpub/ckae016
                11161145
                38396184
                c36a0e2f-ae4b-4d10-b718-aa2dd2085c04
                © The Author(s) 2024. Published by Oxford University Press on behalf of the European Public Health Association.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                Page count
                Pages: 9
                Categories
                Social Determinants
                AcademicSubjects/MED00860
                AcademicSubjects/SOC01210
                AcademicSubjects/SOC02610

                Public health
                Public health

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