The spatial pattern and spatio-temporal evolution of COVID-19 in China

JIN Li-juan; XU Quan-li

doi:10.16462/j.cnki.zhjbkz.2021.11.015

Volume 25 Issue 11

Nov. 2021

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Article Navigation > CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION > 2021 > 25(11): 1320-1326

JIN Li-juan, XU Quan-li. The spatial pattern and spatio-temporal evolution of COVID-19 in China[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2021, 25(11): 1320-1326. doi: 10.16462/j.cnki.zhjbkz.2021.11.015

Citation:

JIN Li-juan, XU Quan-li. The spatial pattern and spatio-temporal evolution of COVID-19 in China[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2021, 25(11): 1320-1326. doi: 10.16462/j.cnki.zhjbkz.2021.11.015

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The spatial pattern and spatio-temporal evolution of COVID-19 in China

doi: 10.16462/j.cnki.zhjbkz.2021.11.015

JIN Li-juan,
XU Quan-li^,

Faculty of Geography, Yunnan Normal University, Geospatial Information Technology Engineering Research Center of Yunnan Province, Key Laboratory of Resources and Environmental Remote Sensing for Universities in Yunnan, Kunming 650500, China

Funds:

National Natural Science Foundation of China 42161065

National Natural Science Foundation of China 41461038

Yunnan Science and Technology Foundation Special Key Projects 202001AS070032

Young and Middle-Aged Academic and Technical Leaders Reserve Talents Project in Yunnan Province 202105AC160059

More Information

Corresponding author: XU Quan-li, E-mail: go2happiness@163.com
Received Date: 2021-01-06
Rev Recd Date: 2021-04-28

Available Online: 2021-12-04

Publish Date: 2021-11-10

Abstract

Abstract

Objective To better control the spread of COVID-19, it is important to understand the spatial pattern of COVID-19 and its spatiotemporal evolution characteristics, and explore its distribution and diffusion laws. Methods In this study, based on the daily incidence data of COVID-19 in China from January 22 to May 26, 2020, spatial autocorrelation was used to analyze the spatial pattern of COVID-19, and center of gravity trajectory migration algorithm was used to explore spatial-temporal evolution process. Results In the study period, COVID-19 had strong spatial dependence at the provincial scale. From January 22 to May 26, 2020, the global spatial correlation of COVID-19 showed a trend of increasing from strong to weak. Moran's I was negative in the range of (-0.04, -0.02) and had a small fluctuation range. The COVID-19 epidemic in China showed a general pattern with Wuhan City in Hubei Province as the center, spreading to the surrounding cities and random distribution. The domestic epidemic were mainly high-low clusters, and high-high clusters were distributed in Hong Kong and Macao Special Administrative Regions, while Hubei Province had been in the high-low clusters. In the study period, the high-low cluster was only one province in Hubei Province, and the low-low clusters were mainly distributed in Heilongjiang Province and Tibet Autonomous Region. During the T₁-T₃ period, the epidemic spread rapidly from Wuhan City to the northwest. During the T₄-T₆ period, the epidemic gradually spread to the southwest. During the T₇-T₉ period, the epidemic spread to the northeast. Conclusions In the future epidemic prevention and control work, we should pay more attention to the study of epidemic spatial diffusion model, explore the factors affecting diffusion, so as to provide strong theoretical support for the formulation of precise epidemic prevention measures.
- COVID-19,
- Spatial autocorrelation,
- Center of gravity trajectory migration algorithm,
- Spatial pattern,
- Spatio-temporal evolution

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References(11)

References

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