意大利COVID-19死亡人数的区域差异:对2020年至2021年超额死亡率及相关因素的描述性分析

IF 3.2 2区 医学 Q2 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH
Francesco Sanmarchi, Angelo Capodici, Davide Golinelli, Jacopo Lenzi, Manuel Zamparini, Federico Toth, Giovanni De Girolamo, Michael A Stoto
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引用次数: 0

摘要

背景:意大利实施了各种措施,包括封锁和大规模疫苗接种运动,以应对COVID-19大流行。本研究旨在描述2020年3月至2021年12月期间死亡率趋势的时间和区域差异,以及相关的社会经济、政策和行为因素。方法:我们使用了国家卫生部关于COVID-19死亡率、超额死亡率(EM)和疫苗接种的数据,以及来自欧洲预防行为和态度调查(如对机构的信任)意大利部门的数据。该分析是在四个宏观区域和五个研究时期进行的。每个研究期间,可避免的死亡率计算为观察到的EM减去宏观区域水平的最低EM。结果:2020-21年,估计总死亡人数为180169人,其中76.4%官方归因于COVID-19。这一比例从南部和岛屿的13.5%(2020年6月至10月)到东北部的140.0%(2021年3月至7月)不等。在前两个期间(2020年3月至2021年2月),北部和随后的南部和岛屿(2021年3月至12月),过高和可避免的死亡率达到峰值。调查数据显示,北部地区遵守居家令的人数减少,南部和岛屿地区对医院的信任度下降,疫苗接种率下降,尤其是老年人。在最初阶段之后,如果每个大区域达到该时期观察到的最低死亡率,本可避免33,587例死亡(18.6%)。据估计,可避免的死亡中有40.7%发生在意大利南部和岛屿,占全国人口的33.7%。结论:由于不同的误报,EM估计比官方死亡率更准确地反映了COVID-19死亡率的区域和时间模式。在大流行的第一年,意大利北部较高的新兴市场可能与较少遵守控制政策有关,这可能与私营部门就业增加有关。2021年3月之后,南部和岛屿的较高EM占可避免EM的40.7%,部分原因是80岁及以上人口的疫苗接种率较低,他们经历了最高的年龄特异性死亡率和对该宏观区域医疗保健系统的信任度较低。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Regional variations in Italy's COVID-19 death toll: a descriptive analysis of excess mortality and associated factors from 2020 to 2021.

Background: Italy implemented various measures, including lockdowns and a mass vaccination campaign, to address the COVID-19 pandemic. This study aims to describe the temporal and regional differences in mortality trends between March 2020 and December 2021, along with associated socioeconomic, policy, and behavioral factors.

Methods: We used National Ministry of Health data on COVID-19 mortality, excess mortality (EM), and vaccine uptake, along with data from the Italian arm of a European survey of preventive behaviors and attitudes, such as trust in institutions. The analysis was conducted across four macro regions and five study periods. Avertable mortality was calculated as observed EM minus the lowest EM at the macro-regional level for each study period.

Results: In 2020-21, the estimated total EM was 180,169 deaths, with 76.4% officially attributed to COVID-19. This proportion ranged from 13.5% in the South and Islands (June-October 2020) to 140.0% in the Northeast (March-July 2021). Excess and avertable mortality peaked in the North during the first two periods (March 2020 - February 2021) and in the South and Islands thereafter (March-December 2021). Survey data revealed reduced adherence to stay-at-home orders in the North and lower trust in hospitals and reduced vaccine uptake, especially among the elderly, in the South and Islands. After the initial period, 33,587 deaths (18.6%) could have been averted if each macro-region had matched the lowest rates observed in that period. An estimated 40.7% of avertable deaths occurred in Southern and Insular Italy, which constitutes 33.7% of the national population.

Conclusions: Due to differential misreporting, EM estimates offer a more accurate view of regional and temporal patterns in COVID-19 mortality than official rates. The higher EM in northern Italy during the first year of the pandemic might be linked to lesser adherence to control policies, possibly associated with higher private-sector employment. The higher EM in the South and Islands post-March 2021, contributing to 40.7% of avertable EM, could be partly explained by the lower vaccination rates in the population aged 80 and older, who experienced the highest age-specific mortality rates and lower trust in the healthcare system in this macro-region.

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来源期刊
Population Health Metrics
Population Health Metrics PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH-
CiteScore
6.50
自引率
0.00%
发文量
21
审稿时长
29 weeks
期刊介绍: Population Health Metrics aims to advance the science of population health assessment, and welcomes papers relating to concepts, methods, ethics, applications, and summary measures of population health. The journal provides a unique platform for population health researchers to share their findings with the global community. We seek research that addresses the communication of population health measures and policy implications to stakeholders; this includes papers related to burden estimation and risk assessment, and research addressing population health across the full range of development. Population Health Metrics covers a broad range of topics encompassing health state measurement and valuation, summary measures of population health, descriptive epidemiology at the population level, burden of disease and injury analysis, disease and risk factor modeling for populations, and comparative assessment of risks to health at the population level. The journal is also interested in how to use and communicate indicators of population health to reduce disease burden, and the approaches for translating from indicators of population health to health-advancing actions. As a cross-cutting topic of importance, we are particularly interested in inequalities in population health and their measurement.
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