EMBRACE: Embracing diversity in vulnerability - a multilevel intersectional study of communities’vulnerability and public health institutions’ capability to cope with COVID-19 and future pandemics
Short description
The EMBRACE project analyses the complex patterns of inequality seen during the COVID-19 pandemic, and aims to identify strategies to equitably strengthen capacities for reducing exposure to and coping with risks in future pandemics. It includes mapping of how vulnerability to COVID-19 changes over time and place, examination of how intersectional factors combine to affect COVID-19 hospitalisation and vaccination rates, and analyses how policies may have influenced the shaping of vulnerability during the pandemic.
The EMBRACE project adopts an intersectional framework at multiple levels to offer a nuanced and comprehensive mapping of socially determined inequalities, as well as the complex vulnerabilities that characterised the COVID-19 pandemic. The intersectionality framework holds promise for better capturing the diversity both within and between population groups. This, in turn, may facilitate a more thorough understanding of inequalities and provide valuable insights to inform the development of policies and interventions aimed at mitigating pandemic-related disparities.
Methods
EMBRACE utilises a mixed-methods design comprising three complementary components: (i) an ecological study modelling the spatial and temporal dimensions of vulnerability at the neighbourhood level, and exploring its association with COVID-19 morbidity, mortality, comorbidity, and vaccination uptake; (ii) a register-based prospective cohort study incorporating multi-level intersectional analysis of individual compositional variables alongside contextual neighbourhood vulnerability related to COVID-19; and (iii) a qualitative intersectional policy analysis to investigate how policy acts as a social determinant influencing exposure, susceptibility, and adaptability to COVID-19 across diverse communities.
Studies 1 and 2 draw on aggregated data at regional and municipal levels, as well as the individual-level data available in the SCIFI-PEARL database. Study 3 relies on primary narrative data, including document analysis, focus group discussions, and participatory workshops, to enrich understanding of policy dynamics.
Researchers
- Jesper Löve, University of Gothenburg (External link)
- Nawi Ng, University of Gothenburg (External link)
- Fredrik Nyberg, University of Gothenburg (External link)
- Gunilla Elise Priebe, University of Gothenburg (External link)
- Ailiana Santosa, University of Gothenburg (External link)
- Maissa Al-Adhami, Karolinska Institutet (External link)
- Bo Burström, Karolinska Institutet (External link)
- Ann Liljas, Karolinska Institutet (External link)
- Linnea Stansert Katsen, Uppsala university (External link)