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估算新西兰奥特亚罗瓦地区新冠疫情期间的超额死亡率。

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

作者信息

Plank Michael J, Senanayake Pubudu, Lyon Richard

机构信息

School of Mathematics and Statistics, University of Canterbury, Christchurch, New Zealand.

Statistics New Zealand, Christchurch, New Zealand.

出版信息

Int J Epidemiol. 2025 Jun 11;54(4). doi: 10.1093/ije/dyaf093.

Abstract

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.

摘要

背景

在新冠疫情期间,新西兰的超额死亡率常被估计为世界上最低的之一。然而,为便于国际比较,许多用于估计超额死亡率的方法并未使用按年龄分层的死亡数据和人口规模数据,这可能会影响其准确性。

方法

我们对新西兰居民的每月全因死亡情况使用了准泊松回归模型,控制了年龄、性别和季节性因素。我们将该模型应用于2014 - 2019年的死亡数据。我们将2020 - 2023年的每月超额死亡率估计为实际死亡人数与根据模型预测的死亡人数之间的差值。我们对用于拟合模型的疫情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结果进行了对比。

结果

我们估计2020 - 2023年新西兰的累计超额死亡率为1040[95%置信区间(-1134, 2927)],相当于预期死亡率的0.7%(-0.8%,2.0%)。2020 - 2021年超额死亡率为负。2022 - 2023年正超额死亡率的幅度、时间和年龄分布与确诊的新冠死亡病例密切匹配。

结论

2020 - 2021年的负超额死亡率反映了该时期新冠疫情水平极低以及季节性呼吸道疾病大幅减少。在2022 - 2023年,新冠死亡是超额死亡率的主要贡献因素,非新冠因素导致的净超额死亡率很低或几乎没有。总体而言,新西兰是世界上疫情期间超额死亡率最低的国家之一。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/59e2/12167635/e0d570d815e0/dyaf093f1.jpg

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