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Research on the Spatial Correlation and Spatial Lag of COVID-19 Infection Based on Spatial Analysis

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  • Keqiang Dong

    (College of Science, Civil Aviation University of China, Tianjin 300300, China)

  • Liao Guo

    (College of Science, Civil Aviation University of China, Tianjin 300300, China)

Abstract

COVID-19 has spread throughout the world since the virus was discovered in 2019. Thus, this study aimed to identify the global transmission trend of the COVID-19 from the perspective of the spatial correlation and spatial lag. The research used primary data collected of daily increases in the amount of COVID-19 in 14 countries, confirmed diagnosis, recovered numbers, and deaths. Findings of the Moran index showed that the propagation of infection was aggregated between 9 May and 21 May based on the composite spatial weight matrix. The results from the Lagrange multiplier test indicated the COVID-19 patients can infect others with a lag.

Suggested Citation

  • Keqiang Dong & Liao Guo, 2021. "Research on the Spatial Correlation and Spatial Lag of COVID-19 Infection Based on Spatial Analysis," Sustainability, MDPI, vol. 13(21), pages 1-16, October.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:21:p:12013-:d:668726
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    References listed on IDEAS

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