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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Author(s). Published by Elsevier Ltd on behalf of International Society for Infectious Diseases.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7194591/ https://www.ncbi.nlm.nih.gov/pubmed/32251789 http://dx.doi.org/10.1016/j.ijid.2020.03.076 |
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author | Kang, Dayun Choi, Hyunho Kim, Jong-Hun Choi, Jungsoon |
author_facet | Kang, Dayun Choi, Hyunho Kim, Jong-Hun Choi, Jungsoon |
author_sort | Kang, Dayun |
collection | PubMed |
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. |
format | Online Article Text |
id | pubmed-7194591 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | The Author(s). Published by Elsevier Ltd on behalf of International Society for Infectious Diseases. |
record_format | MEDLINE/PubMed |
spelling | pubmed-71945912020-05-02 Spatial epidemic dynamics of the COVID-19 outbreak in China Kang, Dayun Choi, Hyunho Kim, Jong-Hun Choi, Jungsoon Int J Infect Dis Article 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. The Author(s). Published by Elsevier Ltd on behalf of International Society for Infectious Diseases. 2020-05 2020-04-03 /pmc/articles/PMC7194591/ /pubmed/32251789 http://dx.doi.org/10.1016/j.ijid.2020.03.076 Text en © 2020 The Author(s) Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Kang, Dayun Choi, Hyunho Kim, Jong-Hun Choi, Jungsoon Spatial epidemic dynamics of the COVID-19 outbreak in 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 | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7194591/ https://www.ncbi.nlm.nih.gov/pubmed/32251789 http://dx.doi.org/10.1016/j.ijid.2020.03.076 |
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