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10.1186/s41256-020-00151-6

http://scihub22266oqcxt.onion/10.1186/s41256-020-00151-6
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32518832!7276249!32518832
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suck abstract from ncbi


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pmid32518832      Glob+Health+Res+Policy 2020 ; 5 (ä): 30
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  • Influence of population mobility on the novel coronavirus disease (COVID-19) epidemic: based on panel data from Hubei, China #MMPMID32518832
  • Jiang J; Luo L
  • Glob Health Res Policy 2020[]; 5 (ä): 30 PMID32518832show ga
  • 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.
  • |*Human Migration[MESH]
  • |*Population Dynamics[MESH]
  • |COVID-19/*epidemiology/*transmission[MESH]
  • |China/epidemiology[MESH]
  • |Cities/epidemiology[MESH]
  • |Epidemics/*statistics & numerical data[MESH]
  • |Humans[MESH]


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