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Massive migration promotes the early spread of COVID-19 in China: a study based on a scale-free network
BACKGROUND: The coronavirus disease 2019 (COVID-19) epidemic met coincidentally with massive migration before Lunar New Year in China in early 2020. This study is to investigate the relationship between the massive migration and the coronavirus disease 2019 (COVID-19) epidemic in China. METHODS: The...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7416814/ https://www.ncbi.nlm.nih.gov/pubmed/32778160 http://dx.doi.org/10.1186/s40249-020-00722-2 |
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author | Song, Wen-Yu Zang, Pan Ding, Zhong-Xing Fang, Xin-Yu Zhu, Li-Guo Zhu, Ya Bao, Chang-Jun Chen, Feng Wu, Ming Peng, Zhi-Hang |
author_facet | Song, Wen-Yu Zang, Pan Ding, Zhong-Xing Fang, Xin-Yu Zhu, Li-Guo Zhu, Ya Bao, Chang-Jun Chen, Feng Wu, Ming Peng, Zhi-Hang |
author_sort | Song, Wen-Yu |
collection | PubMed |
description | BACKGROUND: The coronavirus disease 2019 (COVID-19) epidemic met coincidentally with massive migration before Lunar New Year in China in early 2020. This study is to investigate the relationship between the massive migration and the coronavirus disease 2019 (COVID-19) epidemic in China. METHODS: The epidemic data between January 25th and February 15th and migration data between Jan 1st and Jan 24th were collected from the official websites. Using the R package WGCNA, we established a scale-free network of the selected cities. Correlation analysis was applied to describe the correlation between the Spring Migration and COVID-19 epidemic. RESULTS: The epidemic seriousness in Hubei (except the city of Wuhan) was closely correlated with the migration from Wuhan between January 10 and January 24, 2020. The epidemic seriousness in the other provinces, municipalities and autonomous regions was largely affected by the immigration from Wuhan. By establishing a scale-free network of the regions, we divided the regions into two modules. The regions in the brown module consisted of three municipalities, nine provincial capitals and other 12 cities. The COVID-19 epidemics in these regions were more likely to be aggravated by migration. CONCLUSIONS: The migration from Wuhan could partly explain the epidemic seriousness in Hubei Province and other regions. The scale-free network we have established can better evaluate the epidemic. Three municipalities (Beijing, Shanghai and Tianjin), eight provincial capitals (including Nanjing, Changsha et al.) and 12 other cities (including Qingdao, Zhongshan, Shenzhen et al.) were hub cities in the spread of COVID-19 in China. |
format | Online Article Text |
id | pubmed-7416814 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-74168142020-08-10 Massive migration promotes the early spread of COVID-19 in China: a study based on a scale-free network Song, Wen-Yu Zang, Pan Ding, Zhong-Xing Fang, Xin-Yu Zhu, Li-Guo Zhu, Ya Bao, Chang-Jun Chen, Feng Wu, Ming Peng, Zhi-Hang Infect Dis Poverty Research Article BACKGROUND: The coronavirus disease 2019 (COVID-19) epidemic met coincidentally with massive migration before Lunar New Year in China in early 2020. This study is to investigate the relationship between the massive migration and the coronavirus disease 2019 (COVID-19) epidemic in China. METHODS: The epidemic data between January 25th and February 15th and migration data between Jan 1st and Jan 24th were collected from the official websites. Using the R package WGCNA, we established a scale-free network of the selected cities. Correlation analysis was applied to describe the correlation between the Spring Migration and COVID-19 epidemic. RESULTS: The epidemic seriousness in Hubei (except the city of Wuhan) was closely correlated with the migration from Wuhan between January 10 and January 24, 2020. The epidemic seriousness in the other provinces, municipalities and autonomous regions was largely affected by the immigration from Wuhan. By establishing a scale-free network of the regions, we divided the regions into two modules. The regions in the brown module consisted of three municipalities, nine provincial capitals and other 12 cities. The COVID-19 epidemics in these regions were more likely to be aggravated by migration. CONCLUSIONS: The migration from Wuhan could partly explain the epidemic seriousness in Hubei Province and other regions. The scale-free network we have established can better evaluate the epidemic. Three municipalities (Beijing, Shanghai and Tianjin), eight provincial capitals (including Nanjing, Changsha et al.) and 12 other cities (including Qingdao, Zhongshan, Shenzhen et al.) were hub cities in the spread of COVID-19 in China. BioMed Central 2020-08-10 /pmc/articles/PMC7416814/ /pubmed/32778160 http://dx.doi.org/10.1186/s40249-020-00722-2 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Article Song, Wen-Yu Zang, Pan Ding, Zhong-Xing Fang, Xin-Yu Zhu, Li-Guo Zhu, Ya Bao, Chang-Jun Chen, Feng Wu, Ming Peng, Zhi-Hang Massive migration promotes the early spread of COVID-19 in China: a study based on a scale-free network |
title | Massive migration promotes the early spread of COVID-19 in China: a study based on a scale-free network |
title_full | Massive migration promotes the early spread of COVID-19 in China: a study based on a scale-free network |
title_fullStr | Massive migration promotes the early spread of COVID-19 in China: a study based on a scale-free network |
title_full_unstemmed | Massive migration promotes the early spread of COVID-19 in China: a study based on a scale-free network |
title_short | Massive migration promotes the early spread of COVID-19 in China: a study based on a scale-free network |
title_sort | massive migration promotes the early spread of covid-19 in china: a study based on a scale-free network |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7416814/ https://www.ncbi.nlm.nih.gov/pubmed/32778160 http://dx.doi.org/10.1186/s40249-020-00722-2 |
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