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

Keqiang Dong and Liao Guo
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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

Sustainability, 2021, vol. 13, issue 21, 1-16

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.

Keywords: COVID-19; spatial autocorrelation; spatial lag model; spatial Durbin model (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2021
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