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厄瓜多尔超额日死亡率的分析方法研究。

A proposed analytical approach to estimate excess daily mortality rates in Ecuador.

机构信息

One Health Research Group, Faculty of Medicine, Universidad de las Americas, Quito, Ecuador.

出版信息

Front Public Health. 2024 Mar 8;12:1250343. doi: 10.3389/fpubh.2024.1250343. eCollection 2024.

DOI:10.3389/fpubh.2024.1250343
PMID:38525341
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10957652/
Abstract

BACKGROUND

The COVID-19 pandemic has proved deadly all over the globe; however, one of the most lethal outbreaks occurred in Ecuador.

AIMS

This study aims to highlight the pandemic's impact on the most affected countries worldwide in terms of excess deaths and per day.

METHODS

An ecological study of all-cause mortality recorded in Ecuador was performed. To calculate the excess deaths relative to the historical average for the same dates in 2017, 2018, and 2019, we developed a bootstrap method based on the central tendency measure of mean. A Poisson fitting analysis was used to identify trends on officially recorded all-cause deaths and COVID-19 deaths. A bootstrapping technique was used to emulate the sampling distribution of our expected deaths estimator by simulating the data generation and model fitting processes daily since the first confirmed case.

RESULTS

In Ecuador, during 2020, 115,070 deaths were reported and 42,453 were cataloged as excess mortality when compared to 2017-2019 period. Ecuador is the country with the highest recorded excess mortality in the world within the shortest timespan. In one single day, Ecuador recorded 1,120 deaths (6/100,000), which represents an additional 408% of the expected fatalities.

CONCLUSION

Adjusting for population size and time, the hardest-hit country due to the COVID-19 pandemic was Ecuador. The mortality excess rate shows that the SARS-CoV-2 virus spread rapidly in Ecuador, especially in the coastal region. Our results and the proposed new methodology could help to address the real situation of the number of deaths during the initial phase of pandemics.

摘要

背景

COVID-19 大流行在全球范围内已被证明是致命的;然而,其中最致命的爆发发生在厄瓜多尔。

目的

本研究旨在根据超额死亡人数和每日死亡人数,突出显示大流行对全球受影响最严重的国家的影响。

方法

对厄瓜多尔记录的全因死亡率进行了生态研究。为了计算相对于 2017 年、2018 年和 2019 年同期历史平均值的超额死亡人数,我们开发了一种基于均值中心趋势测度的自举方法。使用泊松拟合分析来识别官方记录的全因死亡人数和 COVID-19 死亡人数的趋势。使用自举技术通过模拟自首次确诊病例以来每天的数据生成和模型拟合过程,来模拟我们预期的死亡人数估计值的抽样分布。

结果

在厄瓜多尔,2020 年报告了 115070 例死亡,与 2017-2019 年期间相比,有 42453 例被归类为超额死亡。厄瓜多尔是在最短时间内记录到的超额死亡人数最高的国家。在一天中,厄瓜多尔记录了 1120 例死亡(每 10 万人中有 6 人),这代表预期死亡人数的额外增加了 408%。

结论

根据人口规模和时间调整后,厄瓜多尔是受 COVID-19 大流行影响最严重的国家。超额死亡率表明,SARS-CoV-2 病毒在厄瓜多尔迅速传播,特别是在沿海地区。我们的结果和提出的新方法可以帮助解决大流行初期死亡人数的实际情况。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/432b/10957652/60bb283260a8/fpubh-12-1250343-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/432b/10957652/eea178cc7aec/fpubh-12-1250343-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/432b/10957652/a43276f00114/fpubh-12-1250343-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/432b/10957652/4ae343ad10cf/fpubh-12-1250343-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/432b/10957652/7ceb6507763e/fpubh-12-1250343-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/432b/10957652/60bb283260a8/fpubh-12-1250343-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/432b/10957652/eea178cc7aec/fpubh-12-1250343-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/432b/10957652/a43276f00114/fpubh-12-1250343-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/432b/10957652/4ae343ad10cf/fpubh-12-1250343-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/432b/10957652/7ceb6507763e/fpubh-12-1250343-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/432b/10957652/60bb283260a8/fpubh-12-1250343-g005.jpg

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