估计新西兰奥特罗阿新冠肺炎大流行期间的超额死亡率。

IF 5.9 2区 医学 Q1 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH
Michael J Plank, Pubudu Senanayake, Richard Lyon
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引用次数: 0

摘要

背景:在2019冠状病毒病大流行期间,新西兰奥特罗阿的超额死亡率通常被估计为世界上最低的国家之一。然而,为了便于国际比较,许多用于估计超额死亡率的方法没有使用关于死亡和人口规模的年龄分层数据,这可能会损害其准确性。方法:我们使用准泊松回归模型分析新西兰居民每月的全因死亡,控制年龄、性别和季节性因素。我们将模型与2014-19年的死亡数据进行了拟合。根据该模型,我们将2020-23年的每月超额死亡率估计为实际死亡人数与预测死亡人数之间的差额。我们对用于拟合模型的大流行前时期的长度进行了敏感性分析。我们将我们的结果与标准化年死亡率的简单线性回归作为基准。结果:我们估计新西兰2020-23年的累积超额死亡率为1040[95%置信区间(-1134,2927)],相当于预期死亡率的0.7%(-0.8%,2.0%)。2020-21年超额死亡率为负。2022-23年阳性超额死亡率的规模、时间和年龄分布与Covid-19确诊死亡人数密切匹配。结论:2020-21年的负超额死亡率反映了这一时期Covid-19的水平非常低,季节性呼吸道疾病大幅减少。在2022-23年期间,Covid-19死亡是造成超额死亡率的主要原因,而非Covid-19的净超额死亡率很少或没有。总体而言,新西兰是世界上流行病死亡率最低的国家之一。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Estimating excess mortality during the Covid-19 pandemic in Aotearoa New Zealand.

Estimating excess mortality during the Covid-19 pandemic in Aotearoa New Zealand.

Estimating excess mortality during the Covid-19 pandemic in Aotearoa New Zealand.

Estimating excess mortality during the Covid-19 pandemic in Aotearoa New Zealand.

Background: The excess mortality rate in Aotearoa New Zealand during the Covid-19 pandemic is frequently estimated to be among the lowest in the world. However, to facilitate international comparisons, many of the methods that have been used to estimate excess mortality do not use age-stratified data on deaths and population size, which may compromise their accuracy.

Methods: We used a quasi-Poisson regression model for monthly all-cause deaths among New Zealand residents, controlling for age, sex, and seasonality. We fitted the model to deaths data for 2014-19. We estimated monthly excess mortality for 2020-23 as the difference between actual deaths and projected deaths according to the model. We conducted sensitivity analysis on the length of the pre-pandemic period used to fit the model. We benchmarked our results against a simple linear regression on the standardized annual mortality rate.

Results: We estimated cumulative excess mortality in New Zealand in 2020-23 was 1040 [95% confidence interval (-1134, 2927)], equivalent to 0.7% (-0.8%, 2.0%) of expected mortality. Excess mortality was negative in 2020-21. The magnitude, timing, and age-distribution of the positive excess mortality in 2022-23 were closely matched with confirmed Covid-19 deaths.

Conclusions: Negative excess mortality in 2020-21 reflects very low levels of Covid-19 and major reductions in seasonal respiratory diseases during this period. In 2022-23, Covid-19 deaths were the main contributor to excess mortality, and there was little or no net non-Covid-19 excess. Overall, New Zealand experienced one of the lowest rates of pandemic excess mortality in the world.

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来源期刊
International journal of epidemiology
International journal of epidemiology 医学-公共卫生、环境卫生与职业卫生
CiteScore
13.60
自引率
2.60%
发文量
226
审稿时长
3 months
期刊介绍: The International Journal of Epidemiology is a vital resource for individuals seeking to stay updated on the latest advancements and emerging trends in the field of epidemiology worldwide. The journal fosters communication among researchers, educators, and practitioners involved in the study, teaching, and application of epidemiology pertaining to both communicable and non-communicable diseases. It also includes research on health services and medical care. Furthermore, the journal presents new methodologies in epidemiology and statistics, catering to professionals working in social and preventive medicine. Published six times a year, the International Journal of Epidemiology provides a comprehensive platform for the analysis of data. Overall, this journal is an indispensable tool for staying informed and connected within the dynamic realm of epidemiology.
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