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加拿大2019冠状病毒病大流行(2020 - 2023年)的最新监测指标与历史:纵向趋势分析

Updated Surveillance Metrics and History of the COVID-19 Pandemic (2020-2023) in Canada: Longitudinal Trend Analysis.

作者信息

Wu Scott A, Soetikno Alan G, Ozer Egon A, Welch Sarah B, Liu Yingxuan, Havey Robert J, Murphy Robert L, Hawkins Claudia, Mason Maryann, Post Lori A, Achenbach Chad J, Lundberg Alexander L

机构信息

Feinberg School of Medicine, Northwestern University, Chicago, IL, United States.

Department of Medicine, Division of Infectious Diseases, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States.

出版信息

JMIR Public Health Surveill. 2024 Dec 5;10:e53218. doi: 10.2196/53218.

DOI:10.2196/53218
PMID:39471286
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11659694/
Abstract

BACKGROUND

This study provides an update on the status of the COVID-19 pandemic in Canada, building upon our initial analysis conducted in 2020 by incorporating an additional 2 years of data.

OBJECTIVE

This study aims to (1) summarize the status of the pandemic in Canada when the World Health Organization (WHO) declared the end of the public health emergency for the COVID-19 pandemic on May 5, 2023; (2) use dynamic and genomic surveillance methods to describe the history of the pandemic in Canada and situate the window of the WHO declaration within the broader history; and (3) provide historical context for the course of the pandemic in Canada.

METHODS

This longitudinal study analyzed trends in traditional surveillance data and dynamic panel estimates for COVID-19 transmissions and deaths in Canada from June 2020 to May 2023. We also used sequenced SARS-CoV-2 variants from the Global Initiative on Sharing All Influenza Data (GISAID) to identify the appearance and duration of variants of concern. For these sequences, we used Nextclade nomenclature to collect clade designations and Pangolin nomenclature for lineage designations of SARS-CoV-2. We used 1-sided t tests of dynamic panel regression coefficients to measure the persistence of COVID-19 transmissions around the WHO declaration. Finally, we conducted a 1-sided t test for whether provincial and territorial weekly speed was greater than an outbreak threshold of 10. We ran the test iteratively with 6 months of data across the sample period.

RESULTS

Canada's speed remained below the outbreak threshold for 8 months by the time of the WHO declaration ending the COVID-19 emergency of international concern. Acceleration and jerk were also low and stable. While the 1-day persistence coefficient remained statistically significant and positive (1.074; P<.001), the 7-day coefficient was negative and small in magnitude (-0.080; P=.02). Furthermore, shift parameters for either of the 2 most recent weeks around May 5, 2023, were negligible (0.003 and 0.018, respectively, with P values of .75 and .31), meaning the clustering effect of new COVID-19 cases had remained stable in the 2 weeks around the WHO declaration. From December 2021 onward, Omicron was the predominant variant of concern in sequenced viral samples. The rolling 1-sided t test of speed equal to 10 became entirely insignificant from mid-October 2022 onward.

CONCLUSIONS

While COVID-19 continues to circulate in Canada, the rate of transmission remained well below the threshold of an outbreak for 8 months ahead of the WHO declaration. Both standard and enhanced surveillance metrics confirm that the pandemic had largely ended in Canada by the time of the WHO declaration. These results can inform future public health interventions and strategies in Canada, as well as contribute to the global understanding of the trajectory of the COVID-19 pandemic.

摘要

背景

本研究在我们2020年进行的初步分析基础上,纳入了额外两年的数据,对加拿大新冠疫情的现状进行了更新。

目的

本研究旨在(1)总结2023年5月5日世界卫生组织(WHO)宣布结束新冠疫情的全球公共卫生紧急状态时加拿大的疫情状况;(2)使用动态和基因组监测方法描述加拿大疫情的历史,并将WHO宣布的时间窗口置于更广泛的历史背景中;(3)为加拿大疫情的发展提供历史背景。

方法

这项纵向研究分析了2020年6月至2023年5月加拿大新冠病毒传播和死亡的传统监测数据趋势以及动态面板估计值。我们还使用了来自全球共享流感数据倡议组织(GISAID)的测序严重急性呼吸综合征冠状病毒2(SARS-CoV-2)变体,以确定关注变体的出现和持续时间。对于这些序列,我们使用Nextclade命名法收集分支名称,并使用穿山甲命名法对SARS-CoV-2进行谱系命名。我们使用动态面板回归系数的单侧t检验来衡量WHO宣布前后新冠病毒传播情况的持续性。最后,我们对省级和地区每周传播速度是否大于10的爆发阈值进行了单侧t检验。我们在整个样本期内使用6个月的数据进行迭代测试。

结果

在WHO宣布结束国际关注的新冠疫情紧急状态时,加拿大的传播速度在8个月内一直低于爆发阈值。加速度和急动度也较低且稳定。虽然1天的持续性系数在统计学上仍然显著且为正(1.074;P<0.001),但7天的系数为负且幅度较小(-0.080;P=0.02)。此外,在2023年5月5日前后最近两周的任何一周,变化参数都可以忽略不计(分别为0.003和0.018,P值分别为0.75和0.31),这意味着在WHO宣布前后的两周内,新冠新病例的聚集效应一直保持稳定。从2021年12月起,奥密克戎是测序病毒样本中主要的关注变体。从2022年10月中旬起,速度等于10的滚动单侧t检验变得完全不显著。

结论

虽然新冠病毒仍在加拿大传播,但在WHO宣布之前的8个月里,传播率一直远低于爆发阈值。标准和强化监测指标均证实,在WHO宣布时,加拿大的疫情在很大程度上已经结束。这些结果可为加拿大未来的公共卫生干预措施和策略提供参考,也有助于全球对新冠疫情发展轨迹的理解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3ebe/11659694/4c7df99a8074/publichealth_v10i1e53218_fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3ebe/11659694/7f6032b7e031/publichealth_v10i1e53218_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3ebe/11659694/27fd79bfacf3/publichealth_v10i1e53218_fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3ebe/11659694/997970f161f0/publichealth_v10i1e53218_fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3ebe/11659694/4c7df99a8074/publichealth_v10i1e53218_fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3ebe/11659694/7f6032b7e031/publichealth_v10i1e53218_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3ebe/11659694/27fd79bfacf3/publichealth_v10i1e53218_fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3ebe/11659694/997970f161f0/publichealth_v10i1e53218_fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3ebe/11659694/4c7df99a8074/publichealth_v10i1e53218_fig4.jpg

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