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撒哈拉以南非洲地区 2020-2023 年 COVID-19 大流行的更新监测指标和历史:纵向趋势分析。

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

机构信息

Buehler Center for Health Policy and Economics, Robert J Havey, MD Institute for Global Health, Northwestern University, Chicago, IL, United States.

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

出版信息

JMIR Public Health Surveill. 2024 Oct 23;10:e53409. doi: 10.2196/53409.

Abstract

BACKGROUND

This study updates the initial COVID-19 pandemic surveillance in sub-Saharan Africa (SSA) from 2020 by providing 2 additional years of data for the region.

OBJECTIVE

First, we aimed to measure whether there was an expansion or contraction in the pandemic in SSA when the World Health Organization (WHO) declared an end to the public health emergency for the COVID-19 pandemic on May 5, 2023. Second, we used dynamic and genomic surveillance methods to describe the history of the pandemic in the region and situate the window of the WHO declaration within the broader history. Third, we aimed to provide historical context for the course of the pandemic in SSA.

METHODS

In addition to updates of traditional surveillance data and dynamic panel estimates from the original study by Post et al (2021), this study used data on 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. We used Nextclade nomenclature to collect clade designations from sequences and used Pangolin nomenclature for lineage designations of SARS-CoV-2. Finally, we conducted a 1-sided t-test to assess whether regional weekly speed was greater than an outbreak threshold of 10. We ran the test iteratively with a rolling 6-month window of data across the sample period.

RESULTS

Speed for the region remained well below the outbreak threshold before and after the WHO declaration. Acceleration and jerk were also low and stable. The 7-day persistence coefficient remained somewhat large (1.11) and statistically significant. However, both shift parameters for the weeks around the WHO declaration were negative, meaning the clustering effect of new COVID-19 cases had become recently smaller. From November 2021 onward, Omicron was the predominant variant of concern in sequenced viral samples. The rolling t-test of speed equal to 10 was insignificant for the entire sample period.

CONCLUSIONS

While COVID-19 continues to circulate in SSA, the region never reached outbreak status, and the weekly transmission rate remained below 1 case per 100,000 population for well over 1 year ahead of the WHO declaration. COVID-19 is endemic in the region and no longer reaches the threshold for its classification as a pandemic. Both standard and enhanced surveillance metrics confirm that the pandemic ended in SSA by the time the WHO made its declaration.

摘要

背景

本研究通过提供该地区额外两年的数据,对 2020 年撒哈拉以南非洲(SSA)的 COVID-19 大流行初始监测进行了更新。

目的

首先,我们旨在衡量世界卫生组织(WHO)于 2023 年 5 月 5 日宣布 COVID-19 大流行公共卫生紧急事件结束时,SSA 的大流行是否在扩大或缩小。其次,我们使用动态和基因组监测方法描述该地区大流行的历史,并将 WHO 宣布的窗口期置于更广泛的历史背景中。第三,我们旨在为 SSA 大流行的进程提供历史背景。

方法

除了 Post 等人(2021 年)原始研究中的传统监测数据更新和动态面板估计外,本研究还使用来自全球流感数据共享倡议(GISAID)的 SARS-CoV-2 变体测序数据来识别关注变体的出现和持续时间。我们使用 Nextclade 命名法从序列中收集谱系名称,并使用 Pangolin 命名法为 SARS-CoV-2 的谱系指定名称。最后,我们进行了单侧 t 检验,以评估区域每周速度是否大于 10 的暴发阈值。我们使用滚动 6 个月的数据窗口在整个样本期内迭代运行该测试。

结果

在 WHO 宣布前后,该地区的速度仍远低于暴发阈值。加速度和急动度也较低且稳定。7 天持续系数仍然较大(1.11)且具有统计学意义。然而,WHO 声明前后几周的两个转移参数均为负,这意味着新的 COVID-19 病例的聚类效应最近已经变小。自 2021 年 11 月以来,Omicron 是测序病毒样本中主要的关注变体。在整个样本期内,速度等于 10 的滚动 t 检验均不显著。

结论

虽然 COVID-19 继续在 SSA 传播,但该地区从未达到暴发状态,每周传播率在 WHO 宣布之前超过 1 年一直保持在每 10 万人 1 例以下。COVID-19 在该地区流行,不再达到将其归类为大流行的阈值。标准和强化监测指标均证实,当 WHO 宣布时,SSA 的大流行已经结束。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4394/11541149/377828ab9125/publichealth_v10i1e53409_fig1.jpg

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