About: Genomic epidemiology of SARS-CoV-2 in Guangdong Province, China

Facets (new session)
Description
Metadata
Settings
- owl:sameAs
- Inference Rule:

About: Genomic epidemiology of SARS-CoV-2 in Guangdong Province, China Goto Sponge NotDistinct Permalink

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	Genomic epidemiology of SARS-CoV-2 in Guangdong Province, China
Creator	Ke, Changwen Li, Wei Rambaut, Andrew Sun, Ruilin Kang, Min Song, Tie Bai, Ru Lu, Jing Su, Juan Yi, Lina Li, Kuibiao Liu, Jun Ma, Wenjun Sun, Jiufeng Yuan, Runyu Liu, Tao Liu, Zhe Zheng, Huanying Pybus, Oliver Peng, Bo Faria, Nuno Kraemer, Mccrone, John Moritz, U Raghwani, Jayna Xiao, Jianpeng Hu, Jianxiong Du Plessis, Louis Fang, Shisong François, Sarah Hill, Verity Liang, Chuming Liang, Minfeng Lin, Huifang Loman, Nick Peng, Jingju Quick, Josh Su, Wenzhe Tang, Xi Xiong, Qianlin Zeng, Lilian Zhou, Pingping
Source	MedRxiv
abstract	Highlights: 1) 1.6 million molecular diagnostic tests identified 1,388 SARS-CoV-2 infections in Guangdong Province, China, by 19th March 2020; 2) Virus genomes can be recovered using a variety of sequencing approaches from a range of patient samples. 3) Genomic analyses reveal multiple virus importations into Guangdong Province, resulting in genetically distinct clusters that require careful interpretation. 4) Large-scale epidemiological surveillance and intervention measures were effective in interrupting community transmission in Guangdong Summary: COVID-19 is caused by the SARS-CoV-2 coronavirus and was first reported in central China in December 2019. Extensive molecular surveillance in Guangdong, China's most populous province, during early 2020 resulted in 1,388 reported RNA positive cases from 1.6 million tests. In order to understand the molecular epidemiology and genetic diversity of SARS-CoV-2 in China we generated 53 genomes from infected individuals in Guangdong using a combination of metagenomic sequencing and tiling amplicon approaches. Combined epidemiological and phylogenetic analyses indicate multiple independent introductions to Guangdong, although phylogenetic clustering is uncertain due to low virus genetic variation early in the pandemic. Our results illustrate how the timing, size and duration of putative local transmission chains were constrained by national travel restrictions and by the province's large-scale intensive surveillance and intervention measures. Despite these successes, COVID-19 surveillance in Guangdong is still required as the number of cases imported from other countries is increasing.
has issue date	2020-04-04(xsd:dateTime)
bibo:doi	10.1101/2020.04.01.20047076
has license	medrxiv
sha1sum (hex)	6bfc6d1de619dc0972ea89b9a017425a5b6cb300
schema:url	https://doi.org/10.1101/2020.04.01.20047076
resource representing a document's title	Genomic epidemiology of SARS-CoV-2 in Guangdong Province, China
resource representing a document's body	covid:6bfc6d1de619dc0972ea89b9a017425a5b6cb300#body_text
is schema:about of	named entity 'GUANGDONG PROVINCE' named entity 'CHINA' named entity 'SARS-CoV-2' named entity 'Guangdong Province' named entity 'SARS-COV-2' named entity 'GENOMIC EPIDEMIOLOGY' named entity 'China' named entity 'epidemiology' named entity 'nanopore' named entity 'amplicon' named entity 'Guangzhou' named entity 'fever' named entity 'Guangdong' named entity 'GISAID' named entity 'posterior distribution' named entity 'China' named entity 'COVID-19' named entity 'PCR amplification' named entity 'preprint' named entity 'SARS-CoV-2' named entity 'virus' named entity 'prior distribution' named entity 'preprint' named entity 'Guangdong' named entity 'genomes' named entity 'GISAID' named entity 'preprint' named entity 'preprint' named entity 'Guangdong' named entity 'epidemic' named entity 'maximum likelihood' named entity 'preprint' named entity 'evolution' named entity 'molecular epidemiology' named entity 'RT-PCR' named entity 'CC-BY-NC-ND 4.0' named entity 'preprint' named entity 'China' named entity 'RNA' named entity 'Diamond Princess cruise ship' named entity 'pneumonia' named entity 'Wuhan' named entity 'COVID-19' named entity 'China'

Faceted Search & Find service v1.13.91 as of Mar 24 2020

Alternative Linked Data Documents: Sponger | ODE Content Formats:

RDF

ODATA

Microdata

About

OpenLink Virtuoso version 07.20.3229 as of Jul 10 2020, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (94 GB total memory)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software