Spatial epidemic dynamics of the COVID-19 outbreak in China
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 mai...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2020-05-01
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| Series: | International Journal of Infectious Diseases |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1201971220302095 |
| _version_ | 1818063147926290432 |
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| author | Dayun Kang Hyunho Choi Jong-Hun Kim Jungsoon Choi |
| author_facet | Dayun Kang Hyunho Choi Jong-Hun Kim Jungsoon Choi |
| author_sort | Dayun Kang |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-10T14:15:29Z |
| format | Article |
| id | doaj.art-57df8a61607946138ed894832c2ac266 |
| institution | Directory Open Access Journal |
| issn | 1201-9712 |
| language | English |
| last_indexed | 2024-12-10T14:15:29Z |
| publishDate | 2020-05-01 |
| publisher | Elsevier |
| record_format | Article |
| series | International Journal of Infectious Diseases |
| spelling | doaj.art-57df8a61607946138ed894832c2ac2662022-12-22T01:45:20ZengElsevierInternational Journal of Infectious Diseases1201-97122020-05-019496102Spatial epidemic dynamics of the COVID-19 outbreak in ChinaDayun Kang0Hyunho Choi1Jong-Hun Kim2Jungsoon Choi3Department of Applied Statistics, Hanyang University, Seoul, Republic of KoreaDepartment of Applied Statistics, Hanyang University, Seoul, Republic of KoreaDepartment of Social and Preventive Medicine, Sungkyunkwan University School of Medicine, Suwon, Republic of KoreaDepartment of Mathematics, Hanyang University, Republic of Korea; Research Institute for Natural Sciences, Hanyang University, Republic of Korea; Corresponding author.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.http://www.sciencedirect.com/science/article/pii/S1201971220302095COVID-19Spatial autocorrelationSpatial analysisChina |
| spellingShingle | Dayun Kang Hyunho Choi Jong-Hun Kim Jungsoon Choi Spatial epidemic dynamics of the COVID-19 outbreak in China International Journal of Infectious Diseases COVID-19 Spatial autocorrelation Spatial analysis China |
| title | Spatial epidemic dynamics of the COVID-19 outbreak in China |
| title_full | Spatial epidemic dynamics of the COVID-19 outbreak in China |
| title_fullStr | Spatial epidemic dynamics of the COVID-19 outbreak in China |
| title_full_unstemmed | Spatial epidemic dynamics of the COVID-19 outbreak in China |
| title_short | Spatial epidemic dynamics of the COVID-19 outbreak in China |
| title_sort | spatial epidemic dynamics of the covid 19 outbreak in china |
| topic | COVID-19 Spatial autocorrelation Spatial analysis China |
| url | http://www.sciencedirect.com/science/article/pii/S1201971220302095 |
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