2026-06-03T05:40:18Zhttps://riuma.uma.es/rest/oai/request

oai:riuma.uma.es:10630/313152026-02-03T11:17:55Zcom_10630_2254col_10630_37953

COVID-19 Lockdown and Housing Deprivation Across European Countries. Ayala Cañón, Luis Bárcena-Martín, Elena María Cantó, Olga Navarro, Carolina COVID-19 - Aspectos sociales Vivienda Conjuntos difusos Confinamiento (Política sanitaria) Housing deprivation is a key determinant of the capacity to prevent infection and to recover from a disease because poor housing prevents adequate sheltering during a quarantine. We analyze the degree of housing deprivation faced by households in European countries when COVID-19 lockdown measures were enacted. To do so, we propose a synthetic measure that includes more dimensions than the official Eurostat indicator of severe housing deprivation. We use a fuzzy set approach to measure housing deprivation so that, unlike traditional deprivation approaches, based on a dichotomous variable, we can identify different degrees of housing deprivation for each household in the population. We find similar orderings of housing deprivation dimensions by country with the highest degree of deprivation in the living space dimension and the lowest one in the standard housing or technology deprivation dimension. Nonetheless, housing deprivation levels differ across countries, with Eastern European households being significantly more housing deprived than the rest when the lockdown began. This result shows that the effects of the lockdown on social well-being have not affected all Europeans equally and emphasizes the need for government measures that promote decent housing. 2024-05-20T10:49:51Z 2024-05-20T10:49:51Z 2022-02-20 journal article Ayala Cañon, L., Bárcena Martín, E., Navarro, C. Cantó, O. COVID-19 Lockdown and Housing Deprivation Across European Countries Social Science & Medicine, 298: 114839 https://hdl.handle.net/10630/31315 10.1016/j.socscimed.2022.114839 eng http://creativecommons.org/licenses/by-nc-nd/4.0/ open access Attribution-NonCommercial-NoDerivatives 4.0 Internacional Elsevier