意大利第一波大流行期间社会经济剥夺与COVID-19发病率和死亡率的关系:从当地基于登记册的研究中吸取的经验教训

IF 3 2区 医学 Q2 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH
Francesca Fortunato, Roberto Lillini, Domenico Martinelli, Giuseppina Iannelli, Leonardo Ascatigno, Georgia Casanova, Pier Luigi Lopalco, Rosa Prato
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引用次数: 1

摘要

背景:COVID-19的特点是在全球迅速传播,在世界范围内具有高感染率、住院率和死亡率。然而,大流行的进程在不同地理区域和国家表现出时间和强度的差异,这可能是由于多种因素造成的。其中,社会经济剥夺被认为发挥了重要作用,尽管现有证据并不完全一致。我们的研究旨在评估意大利阿普利亚地区福贾省第一波流行期间(2020年3月至5月)不同社会经济剥夺水平的COVID-19发病率和死亡率。方法:基于区域主动监测平台数据,对2020年3月1日至5月5日在意大利福贾阿普利安区发生的所有COVID-19确诊病例进行回顾性流行病学研究。地理编码地址与居住的个别人口普查区(CT)相关联。通过社会经济和健康相关剥夺指数(SEHDI)计算社会经济条件对COVID-19发病率和病死率的影响。结果:1054例新冠肺炎确诊病例中,男性537例(50.9%),年龄0-64岁682例(64.7%),既往合并症338例(32.1%)。结论:我们的研究结果表明,贫困本身并不影响COVID-19的发病率和病死率负担,这表明疾病负担是由一系列尚未完全了解的复杂因素驱动的。需要更好的知识来确定风险较高的亚群体并实施有效的预防战略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Association of socio-economic deprivation with COVID-19 incidence and fatality during the first wave of the pandemic in Italy: lessons learned from a local register-based study.

Association of socio-economic deprivation with COVID-19 incidence and fatality during the first wave of the pandemic in Italy: lessons learned from a local register-based study.

Association of socio-economic deprivation with COVID-19 incidence and fatality during the first wave of the pandemic in Italy: lessons learned from a local register-based study.

Background: COVID-19 has been characterised by its global and rapid spread, with high infection, hospitalisation, and mortality rates worldwide. However, the course of the pandemic showed differences in chronology and intensity in different geographical areas and countries, probably due to a multitude of factors. Among these, socio-economic deprivation has been supposed to play a substantial role, although available evidence is not fully in agreement. Our study aimed to assess incidence and fatality rates of COVID-19 across the levels of socio-economic deprivation during the first epidemic wave (March-May 2020) in the Italian Province of Foggia, Apulia Region.

Methods: Based on the data of the regional active surveillance platform, we performed a retrospective epidemiological study among all COVID-19 confirmed cases that occurred in the Apulian District of Foggia, Italy, from March 1st to May 5th, 2020. Geocoded addresses were linked to the individual Census Tract (CT) of residence. Effects of socio-economic condition were calculated by means of the Socio-Economic and Health-related Deprivation Index (SEHDI) on COVID-19 incidence and fatality.

Results: Of the 1054 confirmed COVID-19 cases, 537 (50.9%) were men, 682 (64.7%) were 0-64 years old, and 338 (32.1%) had pre-existing comorbidities. COVID-19 incidence was higher in the less deprived areas (p < 0.05), independently on age. The level of socio-economic deprivation did not show a significant impact on the vital status, while a higher fatality was observed in male cases (p < 0.001), cases > 65 years (p < 0.001), cases having a connection with a nursing home (p < 0.05) or having at least 1 comorbidity (p < 0.001). On the other hand, a significant protection for healthcare workers was apparent (p < 0.001).

Conclusions: Our findings show that deprivation alone does not affect COVID-19 incidence and fatality burden, suggesting that the burden of disease is driven by a complexity of factors not yet fully understood. Better knowledge is needed to identify subgroups at higher risk and implement effective preventive strategies.

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来源期刊
International Journal of Health Geographics
International Journal of Health Geographics PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH -
CiteScore
10.20
自引率
2.00%
发文量
17
审稿时长
12 weeks
期刊介绍: A leader among the field, International Journal of Health Geographics is an interdisciplinary, open access journal publishing internationally significant studies of geospatial information systems and science applications in health and healthcare. With an exceptional author satisfaction rate and a quick time to first decision, the journal caters to readers across an array of healthcare disciplines globally. International Journal of Health Geographics welcomes novel studies in the health and healthcare context spanning from spatial data infrastructure and Web geospatial interoperability research, to research into real-time Geographic Information Systems (GIS)-enabled surveillance services, remote sensing applications, spatial epidemiology, spatio-temporal statistics, internet GIS and cyberspace mapping, participatory GIS and citizen sensing, geospatial big data, healthy smart cities and regions, and geospatial Internet of Things and blockchain.
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