School of Resource and Environmental Sciences, Wuhan University, Wuhan, China; International Institute of Spatial Lifecourse Health (ISLE), Wuhan University, Wuhan.
International Institute of Spatial Lifecourse Health (ISLE), Wuhan University, Wuhan, China; Faculty of Geo-information Science and Earth Observation, University of Twente, Enschede.
Geospat Health. 2022 Jul 13;17(s1). doi: 10.4081/gh.2022.1083.
Although two years have passed since the coronavirus disease 2019 (COVID-19) outbreak, various variants are still rampant across the globe. The Omicron variant, in particular, is rapidly gained dominance through its ability to spread. In this study, we elucidated the spatial distribution pattern of Omicron from a global perspective. We used the cumulative number of notified COVID-19 cases per country spanning four weeks up to February 10, 2022, and the proportion of the Omicron variant genomic sequences from the Global Initiative on Sharing Avian Influenza Data (GISAID). The global spatial distribution of Omicron was investigated by analyzing Global & Local Moran's I and Getis- Ord General G. The spatial weight matrix was defined by combining K-Nearest neighbour and flight connectivity between countries. The results showed that the epidemic is relatively severe in Europe, countries with a high number of Omicron cases and incidence tended to be clustered spatially. In contrast, there are relatively fewer Omicron cases in Asia and Africa, with few hotspots identified. Furthermore, some noted spatial outliers, such as a lowvalue area surrounded by high-value areas, deserve special attention. This study has improved our awareness of the global distribution of Omicron. The findings can provide helpful information for deploying targeted epidemic preparedness for the subsequent COVID-19 variant and future epidemics.
虽然 2019 冠状病毒病 (COVID-19) 爆发已经过去了两年,但各种变体仍在全球范围内肆虐。特别是奥密克戎变体,因其传播能力而迅速占据主导地位。在这项研究中,我们从全球角度阐明了奥密克戎的空间分布模式。我们使用了截至 2022 年 2 月 10 日,四个星期内每个国家报告的 COVID-19 病例累计数,以及来自全球共享流感数据倡议组织 (GISAID) 的奥密克戎变体基因组序列比例。通过分析全局和局部 Moran's I 和 Getis-Ord General G,研究了奥密克戎的全球空间分布。全球空间权重矩阵通过结合 K-最近邻和国家间的飞行连通性来定义。结果表明,欧洲的疫情相对严重,奥密克戎病例数和发病率高的国家往往呈空间聚集。相比之下,亚洲和非洲的奥密克戎病例较少,热点较少。此外,一些值得注意的空间异常值,如低值区域被高值区域包围,值得特别关注。本研究提高了我们对奥密克戎全球分布的认识。这些发现可以为随后的 COVID-19 变体和未来的疫情提供有针对性的疫情准备提供有价值的信息。