Household level health and socio-economic vulnerabilities and the COVID-19 crisis: an analysis from the UK

Research output: Working paper

12 Downloads (Pure)

Abstract

Objectives. To investigate how COVID-19-related health and socio-economic vulnerabilities occur at the household level, and how they are distributed across household types and geographical areas in the United Kingdom.

Design. Cross-sectional, nationally representative study. Setting. The United Kingdom.

Participants. ~19,500 households.

Main outcome measures. Using multiple household-level indicators and principal components analysis, we derive summary measures representing different dimensions of household vulnerabilities critical during the COVID-19 epidemic: health, employment, housing, financial and digital.
Results. Our analysis highlights three key findings. First, although COVID-19 health risks are concentrated in retirement-age households, a substantial proportion of working age households also face these risks. Second, different types of households exhibit different vulnerabilities, with working-age households more likely to face financial, housing and employment precarities, and retirement-age households health and digital vulnerabilities. Third, there are area-level differences in the distribution of vulnerabilities across England and the constituent countries of the United Kingdom.

Conclusions. The findings imply that the short- and long-term consequences of the COVID-19 crisis are likely to vary by household type. Policy measures that aim to mitigate the health and socio-economic consequences of the COVID-19 pandemic should consider how vulnerabilities cluster together across different household types, and how these may exacerbate already existing inequalities.
Original languageEnglish
PublisherSocArXiv
Number of pages14
DOIs
Publication statusPublished - 10 May 2020

Fingerprint

Dive into the research topics of 'Household level health and socio-economic vulnerabilities and the COVID-19 crisis: an analysis from the UK'. Together they form a unique fingerprint.

Cite this