About: A descriptive study of the impact of diseases control and prevention on the epidemics dynamics and clinical features of SARS-CoV-2 outbreak in Shanghai, lessons learned for metropolis epidemics prevention

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

About: A descriptive study of the impact of diseases control and prevention on the epidemics dynamics and clinical features of SARS-CoV-2 outbreak in Shanghai, lessons learned for metropolis epidemics prevention 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
title	A descriptive study of the impact of diseases control and prevention on the epidemics dynamics and clinical features of SARS-CoV-2 outbreak in Shanghai, lessons learned for metropolis epidemics prevention
Creator	Li, Xin Lu, Hongzhou Zhu, Duming Li, Tao Xu, Jie Li, Yang Li, Qiang Zhang, Wenhong Zeng, Mei Ai, Jingwen Gao, Yuan Shen, Yinzhong Qu, Hongping Song, Tian, Rui Wang, Sheng Zhou, Xian Haocheng, Hu, Bijie Li, Xiangyang Ling, ，yun Mao, Enqiang Xu, Jinfu Yu, Kanglong Zhang, ，qiran Zhu, Hecheng Zhu, Lei
source	MedRxiv
abstract	Objective: To describe and evaluate the impact of diseases control and prevention on epidemics dynamics and clinical features of SARS-CoV-2 outbreak in Shanghai. Design: A retrospective descriptive study Setting: China Participants: Epidemiology information was collected from publicly accessible database. 265 patients admitted to Shanghai Public Health Center with confirmed COVID-19 were enrolled for clinical features analysis. Main outcome measure: Prevention and control measures taken by Shanghai government, epidemiological, demographic, clinical, laboratory and radiology data were collected. Weibull distribution, Chi-square test, Fisher's exact test, t test or Mann-Whitney U test were used in statistical analysis. Results: COVID-19 transmission rate within Shanghai had reduced over 99% than previous speculated, and the exponential growth has been stopped so far. Epidemic was characterized by the first stage mainly composed of imported cases and the second stage where >50% of cases were local. The incubation period was 6.4 (95% CI 5.3 to 7.6) days and the mean onset-admission interval was 5.5 days (95% CI, 5.1 to 5.9). Median time for COVID-19 progressed to severe diseases were 8.5 days (IQR: 4.8-11.0 days). By February 11th, proportion of patients being mild, moderate, severe and critically ill were 1.9%(5/265), 89.8%(238/265), 3.8%(10/265), 4.5%(12/265), respectively; 47 people in our cohort were discharged, and 1 patient died. Conclusion: Strict controlling of the transmission rate at the early stage of an epidemic in metropolis can quickly prohibit the spread of the diseases. Controlling local clusters is the key to prevent outbreaks from imported cases. Most COVID-19 severe cases progressed within 14 days of disease onset. Multiple systemic laboratory abnormalities had been observed before significant respiratory dysfunction. Keyword: COVID-19, SARS-CoV-2, epidemics dynamics, diseases control, clinical features
has issue date	2020-02-23(xsd:dateTime)
bibo:doi	10.1101/2020.02.19.20025031
has license	medrxiv
sha1sum (hex)	eb8ac60527db35b10881cb4fd86b8a6e21983d02
schema:url	https://doi.org/10.1101/2020.02.19.20025031
resource representing a document's title	A descriptive study of the impact of diseases control and prevention on the epidemics dynamics and clinical features of SARS-CoV-2 outbreak in Shanghai, lessons learned for metropolis epidemics prevention
resource representing a document's body	covid:eb8ac60527db35b10881cb4fd86b8a6e21983d02#body_text
is schema:about of	named entity 'prevention' named entity 'SARS-CoV-2' named entity 'DESCRIPTIVE STUDY' named entity 'CONTROL' named entity 'DYNAMICS' named entity 'PREVENTION' named entity 'CLINICAL FEATURES' named entity 'DISEASES' named entity 'SARS-COV-2' named entity 'LEARNED' named entity 'EPIDEMICS' named entity 'IMPACT' named entity 'OUTBREAK' named entity 'TITLE' named entity 'peer-reviewed' named entity 'asymptomatic patients' named entity 'incubation time' named entity 'chest CT' named entity 'Shanghai' named entity 'LDH' named entity 'Respiratory failure' named entity 'epidemic' named entity 'peer-reviewed' named entity 'critically ill' named entity 'Respiratory distress' named entity 'face masks' named entity 'ground-glass opacities' named entity 'Hubei' named entity 'WHO' named entity 'Shanghai' named entity 'SARS-CoV-2 outbreak' named entity 'Shanghai' named entity 'critically ill patients' named entity 'creatine' named entity 'medRxiv' named entity 'CT examinations' named entity 'transmissibility' named entity 'infectious diseases' named entity 'health-care' named entity 'incubation period' named entity 'Hubei' named entity 'fatigue' named entity 'Shanghai' named entity 'organ' named entity 'eGFR' named entity 'infection' named entity 'epidemics' named entity 'hemoglobin' named entity 'aminotransferase' named entity 'cohort study' named entity 'Hubei' named entity 'troponin' named entity 'COVID-19' named entity 'Shanghai' named entity 'epidemics' named entity 'symptom' named entity 'disease prevention and control' named entity 'incubation period' named entity 'RT-PCR'

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 © 2009-2025 OpenLink Software