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使用全因死亡率量化伦巴第大区内姆布罗市新冠疫情的后果:描述性研究。

Use of all cause mortality to quantify the consequences of covid-19 in Nembro, Lombardy: descriptive study.

机构信息

Institute of Public Health, Charité - Universitätsmedizin Berlin, 10117 Berlin, Germany

Institute of Public Health, Charité - Universitätsmedizin Berlin, 10117 Berlin, Germany.

出版信息

BMJ. 2020 May 14;369:m1835. doi: 10.1136/bmj.m1835.

DOI:10.1136/bmj.m1835
PMID:32409488
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7223479/
Abstract

OBJECTIVE

To quantify the impact of coronavirus disease 2019 (covid-19) on all cause mortality in Nembro, an Italian city severely affected by the covid-19 pandemic.

DESIGN

Descriptive study.

SETTING

Nembro, in the Bergamo province of Lombardy, northern Italy.

POPULATION

Residents of Nembro.

MAIN OUTCOME MEASURES

Monthly all cause mortality between January 2012 and April 2020 (data to 11 April), number of confirmed deaths from covid-19 to 11 April 2020, and weekly absolute number of deaths between 1 January and 4 April across recent years by age group and sex.

RESULTS

Nembro had 11 505 residents as of 1 January 2020. Monthly all cause mortality between January 2012 and February 2020 fluctuated around 10 per 1000 person years, with a maximum of 21.5 per 1000 person years. In March 2020, monthly all cause mortality reached a peak of 154.4 per 1000 person years. For the first 11 days in April, this rate decreased to 23.0 per 1000 person years. The observed increase in mortality was driven by the number of deaths among older people (≥65 years), especially men. From the outbreak onset until 11 April 2020, only 85 confirmed deaths from covid-19 in Nembro were recorded, corresponding to about half of the 166 deaths from all causes observed in that period.

CONCLUSIONS

The study findings show how covid-19 can have a considerable impact on the health of a small community. Furthermore, the results suggest that the full implications of the covid-19 pandemic can only be completely understood if, in addition to confirmed deaths related to covid-19, consideration is also given to all cause mortality in a given region and time frame.

摘要

目的

量化 2019 年冠状病毒病(COVID-19)对意大利北部伦巴第省内摩罗市所有原因死亡率的影响。

设计

描述性研究。

地点

意大利伦巴第省内摩罗市。

人群

内摩罗居民。

主要观察指标

2012 年 1 月至 2020 年 4 月(截至 4 月 11 日)的每月所有原因死亡率、截至 2020 年 4 月 11 日 COVID-19 确诊死亡人数,以及最近几年按年龄组和性别划分的 1 月 1 日至 4 月 4 日期间每周绝对死亡人数。

结果

截至 2020 年 1 月 1 日,内摩罗市有 11505 名居民。2012 年 1 月至 2020 年 2 月期间,每月所有原因死亡率波动在每 1000 人年 10 人左右,最高达到每 1000 人年 21.5 人。2020 年 3 月,每月所有原因死亡率达到每 1000 人年 154.4 人的峰值。4 月的前 11 天,死亡率降至每 1000 人年 23.0 人。观察到的死亡率增加是由老年人(≥65 岁),尤其是男性的死亡人数增加所致。从疫情爆发到 2020 年 4 月 11 日,内摩罗仅记录了 85 例 COVID-19 确诊死亡,这相当于同期所有原因观察到的 166 例死亡的一半左右。

结论

研究结果表明,COVID-19 如何对一个小社区的健康产生重大影响。此外,结果表明,如果除了与 COVID-19 相关的确诊死亡人数外,还考虑到特定地区和时间段的所有原因死亡率,才能全面了解 COVID-19 大流行的全部影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/45da/7223479/276735bfab53/picm056772.f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/45da/7223479/40ea7f0e5e2c/picm056772.va.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/45da/7223479/0466ab2dac2e/picm056772.f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/45da/7223479/276735bfab53/picm056772.f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/45da/7223479/40ea7f0e5e2c/picm056772.va.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/45da/7223479/0466ab2dac2e/picm056772.f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/45da/7223479/276735bfab53/picm056772.f2.jpg

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