About: Population movement, city closure in Wuhan and geographical expansion of the 2019-nCoV pneumonia infection in China in January 2020

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About: Population movement, city closure in Wuhan and geographical expansion of the 2019-nCoV pneumonia infection in China in January 2020 Goto Sponge NotDistinct Permalink

An Entity of Type : schema:ScholarlyArticle, within Data Space : wasabi.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Population movement, city closure in Wuhan and geographical expansion of the 2019-nCoV pneumonia infection in China in January 2020
Creator	Liu, Qiyong Li, Huan Lin, Hualiang Tian, Fei Liu, Kun Gao, Yuan Ai, Siqi Wu, Yinglin Zhu, Guanghu Zhang, Shiyu Shao, Zhongjun Song, Shuxuan
Source	Medline; PMC
abstract	BACKGROUND: The unprecedented outbreak of 2019-nCoV pneumonia infection in Wuhan City caused global concern, the outflowing population from Wuhan was believed to be a main reason for the rapid and large-scale spread of the disease, so the government implemented a city closure measure to prevent its transmission considering the large amount of travelling before the Chinese New Year. METHODS: Based on the daily reported new cases and the population movement data between January 1 and 31, we examined the effects of population outflow from Wuhan on the geographical expansion of the infection in other provinces and cities of China, as well as the impacts of the city closure in Wuhan in different scenarios of closing dates. RESULTS: We observed a significantly positive association between population movement and the number of the 2019-nCoV cases. The spatial distribution of cases per unit outflow population indicated that some areas with large outflow population might have been underestimated for the infection, such as Henan and Hunan provinces. Further analysis revealed that if the city closure policy was implemented two days earlier, 1420 (95% CI: 1059, 1833) cases could have been prevented, and if two days later, 1462 (95% CI: 1090, 1886) more cases would be possible. CONCLUSIONS: Our findings suggest that population movement might be one important trigger for the transmission of 2019-nCoV infection in China, and the policy of city closure is effective to control the epidemic.
has issue date	2020-04-17(xsd:dateTime)
bibo:doi	10.1093/cid/ciaa422
bibo:pmid	32302377
has license	no-cc
sha1sum (hex)	5d1978d524149f8e3af2df2d10fe04a50e5e08ba
schema:url	https://doi.org/10.1093/cid/ciaa422
resource representing a document's title	Population movement, city closure in Wuhan and geographical expansion of the 2019-nCoV pneumonia infection in China in January 2020
has PubMed Central identifier	PMC7188136
has PubMed identifier	32302377
schema:publication	Clin Infect Dis
resource representing a document's body	covid:5d1978d524149f8e3af2df2d10fe04a50e5e08ba#body_text
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