000106650 001__ 106650
000106650 005__ 20230519145409.0
000106650 0247_ $$2doi$$a10.3390/ijerph18126607
000106650 0248_ $$2sideral$$a124557
000106650 037__ $$aART-2021-124557
000106650 041__ $$aeng
000106650 100__ $$0(orcid)0000-0001-7293-701X$$aAguilar-Palacio, Isabel$$uUniversidad de Zaragoza
000106650 245__ $$aCOVID-19 inequalities: individual and area socioeconomic factors (Aragón, Spain)
000106650 260__ $$c2021
000106650 5060_ $$aAccess copy available to the general public$$fUnrestricted
000106650 5203_ $$aIt is essential to understand the impact of social inequalities on the risk of COVID-19 infection in order to mitigate the social consequences of the pandemic. With this aim, the objective of our study was to analyze the effect of socioeconomic inequalities, both at the individual and area of residence levels, on the probability of COVID-19 confirmed infection, and its variations across three pandemic waves. We conducted a retrospective cohort study and included data from all individuals tested for COVID-19 during the three waves of the pandemic, from March to December 2020 (357,989 individuals) in Aragón (Spain). We studied the effect of inequalities on the risk of having a COVID-19 confirmed diagnosis after being tested using multilevel analyses with two levels of aggregation: individuals and basic healthcare area of residence (deprivation level and type of zone). Inequalities in the risk of COVID-19 confirmed infection were observed at both the individual and area level. There was a predominance of low-paid employees living in deprived areas. Workers with low salaries, unemployed and people on minimum integration income or who no longer receive the unemployment allowance, had a higher probability of COVID-19 infection than workers with salaries ≥ €18,000 per year. Inequalities were greater in women and in the second wave. The deprivation level of areas of residence influenced the risk of COVID-19 infection, especially in the second wave. It is necessary to develop individual and area coordinated measures by areas in the control, diagnosis and treatment of the epidemic, in order to avoid an increase in the already existing inequalities.
000106650 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000106650 590__ $$a4.614$$b2021
000106650 592__ $$a0.814$$b2021
000106650 594__ $$a4.5$$b2021
000106650 591__ $$aPUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH$$b45 / 183 = 0.246$$c2021$$dQ1$$eT1
000106650 593__ $$aPollution$$c2021$$dQ1
000106650 591__ $$aPUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH$$b71 / 210 = 0.338$$c2021$$dQ2$$eT2
000106650 593__ $$aHealth, Toxicology and Mutagenesis$$c2021$$dQ1
000106650 591__ $$aENVIRONMENTAL SCIENCES$$b100 / 279 = 0.358$$c2021$$dQ2$$eT2
000106650 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000106650 700__ $$0(orcid)0000-0002-6671-5661$$aMaldonado, Lina$$uUniversidad de Zaragoza
000106650 700__ $$0(orcid)0000-0002-7194-8275$$aMalo, Sara$$uUniversidad de Zaragoza
000106650 700__ $$aSánchez-Recio, Raquel
000106650 700__ $$aMarcos-Campos,Iván
000106650 700__ $$0(orcid)0000-0002-0078-0663$$aMagallón-Botaya, Rosa$$uUniversidad de Zaragoza
000106650 700__ $$0(orcid)0000-0003-1647-3462$$aRabanaque, María José$$uUniversidad de Zaragoza
000106650 7102_ $$14014$$2623$$aUniversidad de Zaragoza$$bDpto. Economía Aplicada$$cÁrea Métodos Cuant.Econ.Empres
000106650 7102_ $$11011$$2615$$aUniversidad de Zaragoza$$bDpto. Microb.Ped.Radio.Sal.Pú.$$cÁrea Medic.Prevent.Salud Públ.
000106650 773__ $$g18, 12 (2021), 6607$$pInt. j. environ. res. public health$$tInternational journal of environmental research and public health$$x1661-7827
000106650 8564_ $$s1042109$$uhttps://zaguan.unizar.es/record/106650/files/texto_completo.pdf$$yVersión publicada
000106650 8564_ $$s2816595$$uhttps://zaguan.unizar.es/record/106650/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000106650 909CO $$ooai:zaguan.unizar.es:106650$$particulos$$pdriver
000106650 951__ $$a2023-05-18-13:52:36
000106650 980__ $$aARTICLE