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Influence of population mobility on the novel coronavirus disease (COVID-19) epidemic: based on panel data from Hubei, China
BACKGROUND: The novel coronavirus disease (COVID-19) was first reported in Wuhan, China. The mass population mobility in China during the Spring Festival has been considered a driver to the transmission of COVID-19, but it still needs more empirical discussion. METHODS: Based on the panel data from...
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/PMC7276249/ https://www.ncbi.nlm.nih.gov/pubmed/32518832 http://dx.doi.org/10.1186/s41256-020-00151-6 |
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author | Jiang, Junfeng Luo, Lisha |
author_facet | Jiang, Junfeng Luo, Lisha |
author_sort | Jiang, Junfeng |
collection | PubMed |
description | BACKGROUND: The novel coronavirus disease (COVID-19) was first reported in Wuhan, China. The mass population mobility in China during the Spring Festival has been considered a driver to the transmission of COVID-19, but it still needs more empirical discussion. METHODS: Based on the panel data from Hubei, China between January 6th and February 6th, 2020, a random effects model was used to estimate the impact of population mobility on the transmission of COVID-19. Stata version 12.0 was used, and p < 0.05 was considered statistically significant. RESULTS: The COVID-19 was more likely to be confirmed within 11–12 days after people moved from Wuhan to 16 other prefecture-level cities in Hubei Province, which suggests a period of 11–12 days from contact to being confirmed. The daily confirmed cases and daily increment in incidence in 16 prefecture-level cities show obvious declines 9–12 days post adaptation of city lockdown at the local level. CONCLUSION: Population mobility is found to be a driver to the rapid transmission of COVID-19, and the lockdown intervention in local prefecture-level cities of Hubei Province has been an effective strategy to block the COVID-19 epidemic. |
format | Online Article Text |
id | pubmed-7276249 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-72762492020-06-08 Influence of population mobility on the novel coronavirus disease (COVID-19) epidemic: based on panel data from Hubei, China Jiang, Junfeng Luo, Lisha Glob Health Res Policy Research BACKGROUND: The novel coronavirus disease (COVID-19) was first reported in Wuhan, China. The mass population mobility in China during the Spring Festival has been considered a driver to the transmission of COVID-19, but it still needs more empirical discussion. METHODS: Based on the panel data from Hubei, China between January 6th and February 6th, 2020, a random effects model was used to estimate the impact of population mobility on the transmission of COVID-19. Stata version 12.0 was used, and p < 0.05 was considered statistically significant. RESULTS: The COVID-19 was more likely to be confirmed within 11–12 days after people moved from Wuhan to 16 other prefecture-level cities in Hubei Province, which suggests a period of 11–12 days from contact to being confirmed. The daily confirmed cases and daily increment in incidence in 16 prefecture-level cities show obvious declines 9–12 days post adaptation of city lockdown at the local level. CONCLUSION: Population mobility is found to be a driver to the rapid transmission of COVID-19, and the lockdown intervention in local prefecture-level cities of Hubei Province has been an effective strategy to block the COVID-19 epidemic. BioMed Central 2020-06-08 /pmc/articles/PMC7276249/ /pubmed/32518832 http://dx.doi.org/10.1186/s41256-020-00151-6 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/. |
spellingShingle | Research Jiang, Junfeng Luo, Lisha Influence of population mobility on the novel coronavirus disease (COVID-19) epidemic: based on panel data from Hubei, China |
title | Influence of population mobility on the novel coronavirus disease (COVID-19) epidemic: based on panel data from Hubei, China |
title_full | Influence of population mobility on the novel coronavirus disease (COVID-19) epidemic: based on panel data from Hubei, China |
title_fullStr | Influence of population mobility on the novel coronavirus disease (COVID-19) epidemic: based on panel data from Hubei, China |
title_full_unstemmed | Influence of population mobility on the novel coronavirus disease (COVID-19) epidemic: based on panel data from Hubei, China |
title_short | Influence of population mobility on the novel coronavirus disease (COVID-19) epidemic: based on panel data from Hubei, China |
title_sort | influence of population mobility on the novel coronavirus disease (covid-19) epidemic: based on panel data from hubei, china |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7276249/ https://www.ncbi.nlm.nih.gov/pubmed/32518832 http://dx.doi.org/10.1186/s41256-020-00151-6 |
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