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Inequities in the distribution of COVID-19: an adaptation of WHO's conceptual framework.

ABSTRACT: The COVID-19 pandemic currently affects populations worldwide. Although everyone is susceptible to the virus, there are numerous accounts of the pandemic having a greater impact on lower socioeconomic groups and minorities, which is a ubiquitous phenomenon. It is essential for public health administrations and governments to uncover and understanding these inequities to develop proper intersectoral policies to tackle this crisis. Therefore, developing a conceptual framework on this topic, describing the social mechanisms that explain the unjust distribution of the incidence and mortality of COVID-19, is a key task. The aim of this paper is to adapt the framework on social determinants of health from the World Health Organization to the specifics of COVID-19 pandemic. Thus, it identifies and explains the structural and intermediate determinants involved in this pandemic, and adds some new elements (such as the role of the oppression systems and communication) which may help to understand, and ultimately tackle, social inequities in COVID-19 distribution.

SUBMITTER: Vasquez-Vera H

PROVIDER: S-EPMC8526437 | biostudies-literature | 2021 Oct

REPOSITORIES: biostudies-literature

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Inequities in the distribution of COVID-19: an adaptation of WHO's conceptual framework.

Vásquez-Vera Hugo H León-Gómez Brenda Biaani BB Borrell Carme C Jacques-Aviñó Constanza C López María José MJ Medina-Perucha Laura L Pasarin Maribel M Sánchez-Ledesma Esther E Pérez Katherine K

Gaceta sanitaria 20211020 5

The COVID-19 pandemic currently affects populations worldwide. Although everyone is susceptible to the virus, there are numerous accounts of the pandemic having a greater impact on lower socioeconomic groups and minorities, which is a ubiquitous phenomenon. It is essential for public health administrations and governments to uncover and understanding these inequities to develop proper intersectoral policies to tackle this crisis. Therefore, developing a conceptual framework on this topic, descri ...[more]

PMID: 34823902

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Project description:BackgroundContact tracing is one of the key interventions in response to the COVID-19 pandemic but its implementation varies widely across countries. There is little guidance on how to monitor contact tracing performance, and no systematic overview of indicators to assess contact tracing systems or conceptual framework for such indicators exists to date.MethodsWe conducted a rapid scoping review using a systematic literature search strategy in the peer-reviewed and grey literature as well as open source online documents. We developed a conceptual framework to map indicators by type (input, process, output, outcome, impact) and thematic area (human resources, financial resources, case investigation, contact identification, contact testing, contact follow up, case isolation, contact quarantine, transmission chain interruption, incidence reduction).ResultsWe identified a total of 153 contact tracing indicators from 1,555 peer-reviewed studies, 894 studies from grey literature sources, and 15 sources from internet searches. Two-thirds of indicators were process indicators (102; 67%), while 48 (31%) indicators were output indicators. Only three (2%) indicators were input indicators. Indicators covered seven out of ten conceptualized thematic areas, with more than half being related to either case investigation (37; 24%) or contact identification (44; 29%). There were no indicators for the input area "financial resources", the outcome area "transmission chain interruption", and the impact area "incidence reduction".ConclusionsAlmost all identified indicators were either process or output indicators focusing on case investigation, contact identification, case isolation or contact quarantine. We identified important gaps in input, outcome and impact indicators, which constrains evidence-based assessment of contact tracing systems. A universally agreed set of indicators is needed to allow for cross-system comparisons and to improve the performance of contact tracing systems.

Project description:Background Homeless people have a higher risk of COVID-19 infection, linked to several social, economic and environmental determinants, frequent comorbidities, obstacles to exercising their constitutional social and health rights, poor medical cover, and insufficient use of the healthcare system. Data on COVID-19 vaccine uptake and its main determinants are lacking for this underserved population.Objectives To construct and test a conceptual framework to model structural social determinants of COVID-19 vaccine uptake among underserved homeless populations, and to test this model to identify the determinants of COVID-19 vaccine uptake on the homeless population living in two metropolitan areas in France.Methods We implemented a multicenter cross-sectional survey from 15/11/2021 to 22/12/2021 in homeless adults in the city of Marseille and in the greater Paris area. Persons sheltered in migrant worker hostels or in emergency social shelters, members of the COVID HOMELESS cohort study in Marseille, and Travelers living in traditional housing were all eligible. A standardized face-to-face questionnaire was administered to the participants where they lived in various languages by trained interviewers. We used structural equation modeling to analyze the structural social determinants of COVID-19 vaccine uptake, the latter defined as receiving at least one dose.Results The participation rate was 64 %, accounting for 3811 participants. There were three main factors associated with greater vaccine uptake: i) opportunity, which included having a personal general practitioner (β = 0.05, p < 0.05), healthcare cover (β = 0.05, p < 0.05), and somebody to accompany the participant for medical appointments (β = -0.04, p < 0.05); ii) motivation, which included attitudes towards vaccination (β = 0.55, p < 0.05), press- and poster-based information (β = 0.03, p < 0.05), and vaccination history (β = 0.03, p < 0.05); iii) type of housing (β = 0.13, p < 0.05) and housing stability (β = 0.04, p < 0.05).Conclusion Our results highlight that housing exclusion is a structural social determinant of COVID-19 vaccine uptake in homeless people in France. They also underline the role which opportunity and motivation play in improving uptake in this underserved homeless population.

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Inequities in the distribution of COVID-19: an adaptation of WHO's conceptual framework.

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Inequities in the distribution of COVID-19: an adaptation of WHO's conceptual framework.

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