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.

Highlights

  • The outbreak of COVID-19 has had a large impact on people’s lives and organizations such as global education, economy, sports, public health, medical care, transportation, and politics

  • In order to determine whether there is spatial correlation between the spread of COVID-19 in various countries, we calculate the Moran index according to the binary spatial weight matrix (W1), the inverse distance space weight matrix (W2), and the composite spatial weight matrix (W3), respectively

  • It shows that the binary spatial weight matrix (W1) can only introduce some spatial factors of COVID-19 spread in various countries

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Summary

Introduction

The outbreak of COVID-19 has had a large impact on people’s lives and organizations such as global education, economy, sports, public health, medical care, transportation, and politics. The continuous spread of COVID-19 in the world has brought an unprecedented public health crisis to all mankind [1] and accelerated the world economy into a painful adjustment period [2]. Under the impact of the epidemic, the world economic growth expectation is facing a continuous downward revision [4,5]. Since late February 2020, the new coronavirus epidemic outside China has shown a spreading trend. As of March 5, a total of 14,768 cases were diagnosed outside China [6], of which South Korea had the most, followed by Italy.

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