Spatial epidemic dynamics of the COVID-19 outbreak in Chinaopen access
- Authors
- Kang, Dayun; Choi, Hyunho; Kim, Jong-Hun; Choi, Jungsoon
- Issue Date
- May-2020
- Publisher
- ELSEVIER SCI LTD
- Keywords
- COVID-19; Spatial autocorrelation; Spatial analysis; China
- Citation
- INTERNATIONAL JOURNAL OF INFECTIOUS DISEASES, v.94, pp.96 - 102
- Indexed
- SCIE
SCOPUS
- Journal Title
- INTERNATIONAL JOURNAL OF INFECTIOUS DISEASES
- Volume
- 94
- Start Page
- 96
- End Page
- 102
- URI
- https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/145739
- DOI
- 10.1016/j.ijid.2020.03.076
- ISSN
- 1201-9712
- Abstract
- Background: On 31 December 2019 an outbreak of COVID-19 in Wuhan, China, was reported. The outbreak spread rapidly to other Chinese cities and multiple countries. This study described the spatio-temporal pattern and measured the spatial association of the early stages of the COVID-19 epidemic in mainland China from 16 January-06 February 2020. Methods: This study explored the spatial epidemic dynamics of COVID-19 in mainland China. Moran's I spatial statistic with various definitions of neighbours was used to conduct a test to determine whether a spatial association of the COVID-19 infections existed. Results: The spatial spread of the COVID-19 pandemic in China was observed. The results showed that most of the models, except medical-care-based connection models, indicated a significant spatial association of COVID-19 infections from around 22 January 2020. Conclusions: Spatial analysis is of great help in understanding the spread of infectious diseases, and spatial association was the key to the spatial spread during the early stages of the COVID-19 pandemic in mainland China.
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