Department of Public Health, Experimental and Forensic Medicine, University of Pavia, Pavia, Italy.
Italian National Research Council - IMEM, Parma, Italy.
Public Health. 2021 Jan;190:108-115. doi: 10.1016/j.puhe.2020.11.016. Epub 2020 Nov 30.
It is important to quantify the true burden of coronavirus disease 2019 (COVID-19) in different countries, to enable informed decisions about imposing and relaxing control measures. COVID-19 surveillance data fails in this respect, as it is influenced by different definitions, control policies and capacities. This article aims to quantify excess mortality and estimate the distribution between COVID-19 and non-COVID-19 causes of death.
Observational study and mathematical modelling.
Publicly available data from multiple institutional sources were used and an in-depth analysis was carried out of deaths from all causes between 2015 and 2020 in Italy at the national, regional and local level. Excess mortality over time and space was first explored, followed by an assessment of how this related to COVID-19 surveillance and, ultimately, assuming a fixed male:female ratio, a model was developed and applied to estimate the proportions of COVID-19 and non-COVID-19 excess mortality in 2020.
In Italy, the mortality rate doubled in March and April 2020 compared with data from 2015 to 2019 (+109%, when considering municipalites with >10.000 inhabitants), with excess mortality reaching >600% in large municipalities in northern areas. Notified COVID-19 deaths accounted for only 43.5% (regional range: 43-62%) of excess mortality. It is estimated that more than two-thirds of excess deaths that were not captured by surveillance are non-COVID-19 deaths, which could be a result of the excess burden on the health systems, in addition to reduced demand and supply of other non-COVID healthcare services.
The impact of COVID-19 during the early stages of the pandemic is much larger than official figures have reported. Monitoring excess mortality helps to capture the full effect of the COVID-19 pandemic, which differs between regions in Italy and which might have resulted in significant indirect effects on the well-being of the population. In addition, the COVID-19 pandemic has also resulted in significant indirect effects on the well-being of the population.
量化不同国家 2019 冠状病毒病(COVID-19)的真实负担非常重要,以便能够就实施和放宽控制措施做出明智的决策。COVID-19 监测数据在这方面存在缺陷,因为它受到不同定义、控制政策和能力的影响。本文旨在量化超额死亡率,并估计 COVID-19 和非 COVID-19 死亡原因之间的分布。
观察性研究和数学建模。
使用来自多个机构来源的公开数据,对意大利全国、地区和地方层面 2015 年至 2020 年期间的所有原因死亡进行深入分析。首先探讨了随时间和空间的超额死亡率,然后评估了这与 COVID-19 监测的关系,最终,假设固定的男女比例,开发并应用模型估计 2020 年 COVID-19 和非 COVID-19 超额死亡率的比例。
在意大利,2020 年 3 月和 4 月的死亡率与 2015 年至 2019 年的数据相比翻了一番(考虑到居民人数超过 10000 的市镇,增加了 109%),北部地区较大市镇的超额死亡率达到 600%以上。报告的 COVID-19 死亡人数仅占超额死亡率的 43.5%(地区范围:43-62%)。据估计,超过三分之二的未被监测捕捉到的超额死亡是非 COVID-19 死亡,这可能是由于卫生系统负担过重,以及其他非 COVID 医疗服务的需求和供应减少所致。
COVID-19 在大流行早期的影响比官方数据报告的要大得多。监测超额死亡率有助于捕捉 COVID-19 大流行的全部影响,这种影响在意大利各地区有所不同,可能对人口的福祉产生重大间接影响。此外,COVID-19 大流行还对人口的福祉产生了重大间接影响。