在南非 SARS-CoV-2 大流行期间,利用全国人口登记册进行快速死亡率监测,以监控超额死亡人数。

IF 2.1 Q2 DEMOGRAPHY Genus Pub Date : 2021-01-01 Epub Date: 2021-09-03 DOI:10.1186/s41118-021-00134-6
Rob E Dorrington, Tom A Moultrie, Ria Laubscher, Pam J Groenewald, Debbie Bradshaw
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引用次数: 0

摘要

本文介绍了在一个生命登记系统既不及时也不完整的国家,如何利用按年龄和性别、死亡原因是自然的还是非自然的、以及死亡记录的办公室分列的最新全国人口登记册来监测 SARS-CoV-2 大流行期间全国和国家以下各级的超额死亡情况。除了提出一种估算国家以下各级报告完整性的方法外,该应用还能估算出在没有 SARS-CoV-2 流行的情况下超出预期的死亡人数,这些死亡人数与经证实的 COVID-19 死亡人数高度相关,但比官方公布的 COVID-19 死亡人数高出 2.5 到 3 倍。要将观察到的超额死亡人数更精确地划分为 COVID、COVID 相关死亡和附带死亡,以及通过减少流动性和集会等干预措施避免的非 COVID 死亡,需要获取实时死因信息。建议以 ICD-10 向 ICD-11 过渡为契机,将医疗死因信息从纸质系统转变为电子采集系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Rapid mortality surveillance using a national population register to monitor excess deaths during SARS-CoV-2 pandemic in South Africa.

This paper describes how an up-to-date national population register recording deaths by age and sex, whether deaths were due to natural or unnatural causes, and the offices at which the deaths were recorded can be used to monitor excess death during the SARS-CoV-2 pandemic, both nationally, and sub-nationally, in a country with a vital registration system that is neither up to date nor complete. Apart from suggesting an approach for estimating completeness of reporting at a sub-national level, the application produces estimates of the number of deaths in excess of those expected in the absence of the SARS-CoV-2 epidemic that are highly correlated with the confirmed number of COVID-19 deaths over time, but at a level 2.5 to 3 times higher than the official numbers of COVID-19 deaths. Apportioning the observed excess deaths more precisely to COVID, COVID-related and collateral deaths, and non-COVID deaths averted by interventions with reduced mobility and gatherings, etc., requires access to real-time cause-of-death information. It is suggested that the transition from ICD-10 to ICD-11 should be used as an opportunity to change from a paper-based system to electronic capture of the medical cause-of-death information.

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来源期刊
Genus
Genus Social Sciences-Demography
CiteScore
5.80
自引率
0.00%
发文量
33
审稿时长
8 weeks
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