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社会剥夺对法国 SARS-CoV-2 感染动态的影响:基于人群的分析。

The effect of social deprivation on the dynamic of SARS-CoV-2 infection in France: a population-based analysis.

机构信息

Santé Publique France, Saint-Maurice, France; University of Bordeaux, INSERM UMR 1219-Bordeaux Population Health, Bordeaux, France.

Santé Publique France, Saint-Maurice, France.

出版信息

Lancet Public Health. 2022 Mar;7(3):e240-e249. doi: 10.1016/S2468-2667(22)00007-X. Epub 2022 Feb 15.

Abstract

BACKGROUND

Data on health inequalities related to the dynamic of SARS-CoV-2 infection in France are scarce. The aim of this study was to analyse the association between an area-based deprivation indicator and SARS-CoV-2 incidence, positivity, and testing rates between May 2020 and April 2021.

METHODS

We analysed data reported to the Système d'Information de Dépistage Populationnel surveillance system between May 14, 2020 and April 29, 2021, which records the results of all SARS-CoV-2 tests in France. Residential addresses of tested individuals were geocoded to retrieve the associated aggregated units for the statistical information (IRIS) scale, corresponding to an area comprising 2000 inhabitants relatively homogenous in terms of socioeconomic characteristics. A social deprivation score was assigned to each area using the European Deprivation Index (EDI). We fitted negative binomial generalised additive models to model the age-standardised and sex-standardised ratios for SARS-CoV-2 incidence, positivity rates, and testing rates, and to estimate incidence rate ratios (IRRs) and 95% CIs of their association with EDI quintiles, using the first quintile (least deprived) as the reference category, adjusted for week, population density, and region.

FINDINGS

Analyses were based on 70 990 478 SARS-CoV-2 tests, of which 5 000 972 were positive. SARS-CoV-2 incidence was higher in the most deprived areas than the least deprived areas (IRR 1·148 [95% CI 1·138-1·158]) and positivity rates were also higher (IRR 1·283 [1·273-1·294]), whereas testing rates were lower in the most deprived areas than the least deprived areas (IRR 0·905 [0·904-0·907]). SARS-CoV-2 incidence and positivity rates remained higher in the most deprived areas than the least deprived areas during the second and third national lockdowns, and variation in testing rate was observed according to population density.

INTERPRETATION

Our results highlight a positive social gradient between deprivation and the risk of testing positive for SARS-CoV-2, with the highest risk among individuals living in the most deprived areas and a negative social gradient for testing rate. These findings might reflect structural barriers to health-care access in France and lower capacity of deprived populations to benefit from protective measures.

FUNDING

None.

摘要

背景

法国有关与 SARS-CoV-2 感染动态相关的健康不平等数据稀缺。本研究旨在分析 2020 年 5 月至 2021 年 4 月期间基于地区的剥夺指标与 SARS-CoV-2 发病率、阳性率和检测率之间的关联。

方法

我们分析了 2020 年 5 月 14 日至 2021 年 4 月 29 日期间向 Populationnel 监测系统信息筛选系统报告的数据,该系统记录了法国所有 SARS-CoV-2 检测的结果。检测个体的居住地址被地理编码,以检索相关的综合单位(IRIS)规模的统计信息,该规模涵盖了 2000 名相对同质的社会经济特征的居民。使用欧洲剥夺指数(EDI)为每个区域分配一个社会剥夺分数。我们使用负二项式广义加性模型对 SARS-CoV-2 发病率、阳性率和检测率的年龄标准化和性别标准化比值进行建模,并使用第一五分位数(最不富裕)作为参考类别,调整周、人口密度和地区,估计 EDI 五分位数与 SARS-CoV-2 发病率、阳性率和检测率之间的比值比(IRR)和 95%置信区间。

结果

分析基于 70990478 次 SARS-CoV-2 检测,其中 5000972 次检测呈阳性。与最不富裕地区相比,最贫困地区的 SARS-CoV-2 发病率更高(IRR1.148[95%CI1.138-1.158]),阳性率也更高(IRR1.283[1.273-1.294]),而最贫困地区的检测率低于最不富裕地区(IRR0.905[0.904-0.907])。在第二次和第三次全国封锁期间,最贫困地区的 SARS-CoV-2 发病率和阳性率仍然高于最不富裕地区,并且根据人口密度观察到检测率的差异。

解释

我们的研究结果突出了剥夺与 SARS-CoV-2 检测呈阳性风险之间存在正的社会梯度,生活在最贫困地区的个体风险最高,而检测率呈负的社会梯度。这些发现可能反映了法国医疗保健获取方面的结构性障碍,以及贫困人群受益于保护措施的能力较低。

资金

无。

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