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Spatial epidemic dynamics of the COVID-19 outbreak in China

Title
Spatial epidemic dynamics of the COVID-19 outbreak in China
Author
최정순
Keywords
COVID-19; Spatial autocorrelation; Spatial analysis; China
Issue Date
2020-05
Publisher
ELSEVIER SCI LTD
Citation
INTERNATIONAL JOURNAL OF INFECTIOUS DISEASES, v. 94, page. 96-102
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. (C) 2020 The Author(s). Published by Elsevier Ltd on behalf of International Society for Infectious Diseases.
URI
https://www.clinicalkey.com/#!/content/playContent/1-s2.0-S1201971220302095?returnurl=https:%2F%2Flinkinghub.elsevier.com%2Fretrieve%2Fpii%2FS1201971220302095%3Fshowall%3Dtrue&referrer=https://repository.hanyang.ac.kr/handle/20.500.11754/167092
ISSN
1201-9712; 1878-3511
DOI
10.1016/j.ijid.2020.03.076
Appears in Collections:
COLLEGE OF NATURAL SCIENCES[S](자연과학대학) > MATHEMATICS(수학과) > Articles
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