Preventive Medicine and Public Health Department, University of Zaragoza, 50009 Zaragoza, Spain.
Instituto de Investigación Sanitaria de Aragón, IIS Aragón, 50009 Zaragoza, Spain.
Int J Environ Res Public Health. 2021 Jun 19;18(12):6607. doi: 10.3390/ijerph18126607.
It 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.
了解社会不平等对 COVID-19 感染风险的影响对于减轻大流行的社会后果至关重要。为此,我们的研究目的是分析个体和居住地区两个层面的社会经济不平等对 COVID-19 确诊感染概率的影响,并分析其在三个大流行波次中的变化。我们进行了一项回顾性队列研究,纳入了 2020 年 3 月至 12 月期间在西班牙阿拉贡(Aragón)进行的三次大流行波次中所有 COVID-19 检测个体的数据(共 357989 人)。我们使用两级聚集的多层次分析方法(个体和基本医疗保健居住地区(贫困水平和区域类型))研究了不平等对检测后 COVID-19 确诊诊断风险的影响。在个体和地区层面都观察到 COVID-19 确诊感染风险的不平等。低薪工人居住在贫困地区占主导地位。与每年工资≥18000 欧元的工人相比,低薪工人、失业者和最低融入收入或不再领取失业津贴的人,感染 COVID-19 的概率更高。女性和第二波次中不平等现象更为突出。居住地区的贫困水平影响 COVID-19 感染风险,尤其是在第二波次中。有必要通过地区协调个人和地区措施,进行疫情的控制、诊断和治疗,以避免已经存在的不平等现象加剧。