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Global spreading of Omicron variant of COVID-19.
Zhang, Pengxin; Yang, Shuhan; Dai, Shaoqing; How Jin Aik, Darren; Yang, Shujuan; Jia, Peng.
  • Zhang P; School of Resource and Environmental Sciences, Wuhan University, Wuhan, China; International Institute of Spatial Lifecourse Health (ISLE), Wuhan University, Wuhan. jiapengff@hotmail.com.
  • Yang S; School of Resource and Environmental Sciences, Wuhan University, Wuhan, China; International Institute of Spatial Lifecourse Health (ISLE), Wuhan University, Wuhan. jiapengff@hotmail.com.
  • Dai S; International Institute of Spatial Lifecourse Health (ISLE), Wuhan University, Wuhan, China; Faculty of Geo-information Science and Earth Observation, University of Twente, Enschede. jiapengff@hotmail.com.
  • How Jin Aik D; School of Resource and Environmental Sciences, Wuhan University, Wuhan, China; International Institute of Spatial Lifecourse Health (ISLE), Wuhan University, Wuhan. jiapengff@hotmail.com.
  • Yang S; International Institute of Spatial Lifecourse Health (ISLE), Wuhan University, Wuhan, China; West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu. jiapengff@hotmail.com.
  • Jia P; School of Resource and Environmental Sciences, Wuhan University, Wuhan, China; International Institute of Spatial Lifecourse Health (ISLE), Wuhan University, Wuhan. jiapengff@hotmail.com.
Geospat Health ; 17(s1)2022 07 13.
Article in English | MEDLINE | ID: covidwho-1934344
ABSTRACT
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.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Observational study Topics: Variants Limits: Animals / Humans Language: English Year: 2022 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Observational study Topics: Variants Limits: Animals / Humans Language: English Year: 2022 Document Type: Article