Cerda Thomas Rodrigo
Escuela de Salud Pública, Universidad de Chile, Santiago, Chile.
Rev Med Chil. 2020 Nov;148(11):1647-1651. doi: 10.4067/S0034-98872020001101647.
Capturing all the deaths caused by COVID-19 through epidemiologic surveillance based on individual case notification is difficult, therefore, all-cause excess mortality (EM) is an appropriate measure for geographic comparisons and monitoring of the application of non-pharmacological sanitary measures. This is a narrative review of the literature about the observed EM during the COVID-19 pandemic. A research was made on scientific databases (Google Scholar, Pubmed, Virtual Health Library) using the terms "excess mortality", "excess deaths", "COVID-19", "coronavirus", "SARS-CoV-2". It included publications between 2019 and June 16, 2020. Twenty-seven articles were selected from 116 publications found. Most of them correspond to original articles with an analytical ecological study design. They confirm EM in the locations studied, with higher proportion of men and older people and with remarkable spatial heterogeneity. The need to optimize the standardization and updating of mortality registration and reporting mechanisms is highlighted. At a local level, data about EM that will allow these analyses is incipiently becoming available.
通过基于个案通报的流行病学监测来统计新冠病毒病导致的所有死亡情况是困难的，因此，全因超额死亡率是进行地区间比较以及监测非药物性卫生措施实施情况的一项恰当指标。这是一篇关于新冠疫情期间观察到的超额死亡率的文献综述。我们利用“超额死亡率”“超额死亡”“新冠病毒病”“冠状病毒”“严重急性呼吸综合征冠状病毒2”等检索词，在科学数据库（谷歌学术、PubMed、虚拟健康图书馆）中进行了研究。研究范围涵盖2019年至2020年6月16日期间发表的文献。从找到的116篇文献中筛选出27篇文章。其中大部分是采用分析性生态研究设计的原创文章。这些文章证实了所研究地区存在超额死亡率，男性和老年人的超额死亡率更高，且存在显著的空间异质性。文中强调了优化死亡率登记和报告机制的标准化及更新的必要性。在地方层面，能够用于这些分析的超额死亡率数据刚刚开始可得。
