About: Strongly Heterogeneous Transmission of COVID-19 in Mainland China: Local and Regional Variation

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

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Strongly Heterogeneous Transmission of COVID-19 in Mainland China: Local and Regional Variation
Creator	Teunis, Peter Wang, Yuke Desouza-Vieira, Thiago Gu, Hong-Qiu Ke, Lu
Source	Medline; PMC
abstract	Background: The outbreak of novel coronavirus disease 2019 (COVID-19) started in the city of Wuhan, China, with a period of rapid initial spread. Transmission on a regional and then national scale was promoted by intense travel during the holiday period of the Chinese New Year. We studied the variation in transmission of COVID-19, locally in Wuhan, as well as on a larger spatial scale, among different cities and even among provinces in mainland China. Methods: In addition to reported numbers of new cases, we have been able to assemble detailed contact data for some of the initial clusters of COVID-19. This enabled estimation of the serial interval for clinical cases, as well as reproduction numbers for small and large regions. Findings: We estimated the average serial interval was 4.8 days. For early transmission in Wuhan, any infectious case produced as many as four new cases, transmission outside Wuhan was less intense, with reproduction numbers below two. During the rapid growth phase of the outbreak the region of Wuhan city acted as a hot spot, generating new cases upon contact, while locally, in other provinces, transmission was low. Interpretation: COVID-19 is capable of spreading very rapidly. The sizes of outbreak in provinces of mainland China mainly depended on the numbers of cases imported from Wuhan as the local reproduction numbers were low. The COVID-19 epidemic should be controllable with appropriate interventions (suspension of public transportation, cancellation of mass gatherings, implementation of surveillance and testing, and promotion of personal hygiene and face mask use).
has issue date	2020-06-19(xsd:dateTime)
bibo:doi	10.3389/fmed.2020.00329
bibo:pmid	32637423
has license	cc-by
sha1sum (hex)	fcb2e465a37e71a49c0380ed6c3ac9aab2ab866c
schema:url	https://doi.org/10.3389/fmed.2020.00329
resource representing a document's title	Strongly Heterogeneous Transmission of COVID-19 in Mainland China: Local and Regional Variation
has PubMed Central identifier	PMC7317008
has PubMed identifier	32637423
schema:publication	Front Med (Lausanne)
resource representing a document's body	covid:fcb2e465a37e71a49c0380ed6c3ac9aab2ab866c#body_text
is schema:about of	named entity 'COVID-19' named entity 'reproduction number' named entity 'Guangdong' named entity 'Guangdong' named entity 'Chinese New Year' named entity 'serial interval' named entity 'COVID' named entity 'Baodi' named entity 'province in China' named entity 'reproduction number' named entity 'shape parameter' named entity 'Hubei province' named entity 'Wuhan' named entity 'mainland China' named entity 'Seafood' named entity 'local transmission' named entity '28 February' named entity 'Tianjin' named entity 'symptom' named entity 'posterior mode' named entity 'Wuhan' named entity 'COVID-19' named entity 'Beijing' named entity 'Shenzhen, Guangdong' named entity 'Guizhou' named entity 'Tianjin' named entity 'boxplots' named entity 'binary vector' named entity 'COVID-19' named entity '28 February' named entity 'clinical symptoms' named entity 'serial interval' named entity 'serial interval' named entity 'COVID-19' named entity '19, 20' named entity 'infection' named entity 'asymptomatically' named entity 'Health Commission' named entity 'Huanan Seafood Wholesale Market' named entity 'clinical symptoms' named entity 'COVID' named entity 'public transportation' named entity 'pneumonia' named entity 'incubation period' named entity 'posterior probability' named entity 'Wuhan' named entity 'Hunan' named entity 'COVID' named entity 'China' named entity 'Wuhan' named entity 'lockdown' named entity 'serial interval' named entity 'Guangzhou' named entity 'Wuhan' named entity 'prior probabilities' named entity 'Wuhan' named entity 'Wuhan' named entity 'coronavirus' named entity 'serial interval' named entity 'Hubei' named entity 'Hubei province' named entity 'Wuhan' named entity 'China' named entity 'probability vector' named entity 'Wuhan' named entity 'Wuhan' named entity 'posterior mode' named entity 'symptom' named entity 'Hebei' named entity 'serial interval' named entity 'Beijing' named entity 'COVID' named entity 'Wuhan' named entity 'serial interval' named entity 'infectious diseases' named entity 'serial interval' named entity 'Wuhan'

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