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.
JMIR Public Health Surveill. 2024 Aug 28;10:e52318. doi: 10.2196/52318.
This study updates the COVID-19 pandemic surveillance in Central Asia we conducted during the first year of the pandemic by providing 2 additional years of data for the region. The historical context provided through additional data can inform regional preparedness and early responses to infectious outbreaks of either the SARS-CoV-2 virus or future pathogens in Central Asia.
First, we aim to measure whether there was an expansion or contraction in the pandemic in Central Asia when the World Health Organization (WHO) declared the end of the public health emergency for the COVID-19 pandemic on May 5, 2023. Second, we use 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 aim to provide historical context for the course of the pandemic in Central Asia.
Traditional surveillance metrics, including counts and rates of COVID-19 transmissions and deaths, and enhanced surveillance indicators, including speed, acceleration, jerk, and persistence, were used to measure shifts in the pandemic. To identify the appearance and duration of variants of concern, we used data on sequenced SARS-CoV-2 variants from the Global Initiative on Sharing All Influenza Data (GISAID). We used Nextclade nomenclature to collect clade designations from sequences and Pangolin nomenclature for lineage designations of SARS-CoV-2. Finally, we conducted a 1-sided t test to determine whether regional speed was greater than an outbreak threshold of 10. We ran the test iteratively with 6 months of data across the sample period.
Speed for the region had remained below the outbreak threshold for 7 months by the time of the WHO declaration. Acceleration and jerk were also low and stable. Although the 1- and 7-day persistence coefficients remained statistically significant, the coefficients were relatively small in magnitude (0.125 and 0.347, respectively). Furthermore, the shift parameters for either of the 2 most recent weeks around May 5, 2023, were both significant and negative, meaning the clustering effect of new COVID-19 cases became even smaller 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 t test of speed equal to 10 became entirely insignificant for the first time in March 2023.
Although COVID-19 continues to circulate in Central Asia, the rate of transmission remained well below the threshold of an outbreak for 7 months ahead of the WHO declaration. COVID-19 appeared to be endemic in the region and no longer reached the threshold of a pandemic. Both standard and enhanced surveillance metrics suggest the pandemic had ended by the time of the WHO declaration.
本研究通过提供该地区额外两年的数据,更新了我们在大流行第一年进行的中亚 COVID-19 大流行监测,为该地区的区域准备和对 SARS-CoV-2 病毒或未来病原体在中亚的传染病暴发的早期反应提供了历史背景。
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,中亚大流行是扩大还是缩小。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,并将世卫组织声明的窗口期置于更广泛的历史背景下。第三,我们旨在为中亚大流行的进程提供历史背景。
传统监测指标,包括 COVID-19 传播和死亡的计数和率,以及增强的监测指标,包括速度、加速度、急动度和持久性,用于衡量大流行的变化。为了确定关注变体的出现和持续时间,我们使用了来自全球共享流感数据倡议(GISAID)的 SARS-CoV-2 测序变体数据。我们使用 Nextclade 命名法从序列中收集进化枝指定,使用 Pangolin 命名法对 SARS-CoV-2 的谱系指定。最后,我们进行了单侧 t 检验,以确定区域速度是否大于 10 的暴发阈值。我们在样本期内使用 6 个月的数据迭代运行该测试。
到世卫组织宣布时,该地区的速度已经连续 7 个月低于暴发阈值。加速度和急动度也较低且稳定。尽管 1 天和 7 天的持久性系数仍然具有统计学意义,但系数的幅度相对较小(分别为 0.125 和 0.347)。此外,5 月 5 日前后最近两周的转移参数均为显著且为负,这意味着在世卫组织宣布前后两周,新的 COVID-19 病例的聚类效应甚至更小。自 2021 年 12 月以来,奥密克戎是测序病毒样本中主要关注的变体。速度等于 10 的滚动 t 检验在 2023 年 3 月首次变得完全不显著。
尽管 COVID-19 继续在中亚地区传播,但在世卫组织宣布之前的 7 个月内,传播率一直远低于暴发阈值。COVID-19 在该地区似乎已成为地方病,不再达到大流行的阈值。标准和增强的监测指标均表明,在世卫组织宣布时大流行已经结束。