Wei Hongjie, Zhao Yunkang, Rui Jia, Li Kangguo, Abudunaibi Buasiyamu, Zhao Zeyu, Song Wentao, Wang Yao, Chen Qiuping, Liu Hong, Zhang Shuo, Li Xiaojun, Luo Kaiwei, Gavotte Laurent, Frutos Roger, Chen Tianmu
State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, Xiamen University, Xiamen, China.
CIRAD, Intertryp, Montpellier, France.
Heliyon. 2024 May 31;10(11):e32164. doi: 10.1016/j.heliyon.2024.e32164. eCollection 2024 Jun 15.
Differences in transmissibility of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) variants of concern (VOCs) in different districts are hard to assess. To address this, our study focused on calculating the Real-time reproduction number ( ) for these variants in different regions.
According to the criteria defined by the World Health Organization (WHO), the global landscape was categorized into six distinct regions. In each region, the predominant SARS-CoV-2 variant was first identified based on the proportion of variant sequencing analysis results. Then, using serial interval (SI) parameters, we calculated for the relevant Variant of Concern (VOC) in each region. This approach enabled us to compare the values of the same variant across different regions and analyze the transmissibility of each region's variant in relation to the overall situation in that region.
The progression of VOC for SARS-CoV-2 shows regional variations. However, a common sequence of evolution is observed: Wild-type → Alpha → Beta → Delta → Omicron. Moreover, an increasing trend is discerned within diverse regions where the shift in of distinct VOC corresponds with the overarching route of SARS-CoV-2 in specific regions.
As the COVID-19 pandemic advances, regional epidemiological trends are aligning, likely due to similar virus mutations and shared public health strategies, suggesting opportunities for standardized global responses.
严重急性呼吸综合征冠状病毒2（SARS-CoV-2）变异株（VOC）在不同地区的传播性差异难以评估。为解决这一问题，我们的研究重点是计算这些变异株在不同地区的实时繁殖数（ ）。
根据世界卫生组织（WHO）定义的标准，将全球格局分为六个不同区域。在每个区域，首先根据变异株测序分析结果的比例确定主要的SARS-CoV-2变异株。然后，使用序列间隔（SI）参数，计算每个区域相关关注变异株（VOC）的 。这种方法使我们能够比较同一变异株在不同区域的 值，并分析每个区域变异株相对于该区域总体情况的传播性。
SARS-CoV-2的VOC进展呈现区域差异。然而，观察到一个共同的进化序列：野生型→阿尔法→贝塔→德尔塔→奥密克戎。此外，在不同区域内发现一种上升趋势，即不同VOC的 变化与SARS-CoV-2在特定区域的总体 路径相对应。
随着新冠疫情的发展，区域流行病学趋势正在趋同，这可能是由于类似的病毒突变和共同的公共卫生策略，这为全球标准化应对提供了机会。
