About: The Framework for the Prediction of the Critical Turning Period for Outbreak of COVID-19 Spread in China based on the iSEIR Model

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

About: The Framework for the Prediction of the Critical Turning Period for Outbreak of COVID-19 Spread in China based on the iSEIR Model 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	The Framework for the Prediction of the Critical Turning Period for Outbreak of COVID-19 Spread in China based on the iSEIR Model
Creator	Di, Lan Gu, Yudi Qian, Guoqi Qian, X Qian, Xiaosong Yuan, George
Source	ArXiv
abstract	The goal of this study is to establish a general framework for predicting the so-called critical Turning Period in an infectious disease epidemic such as the COVID-19 outbreak in China early this year. This framework enabled a timely prediction of the turning period when applied to Wuhan COVID-19 epidemic and informed the relevant authority for taking appropriate and timely actions to control the epidemic. It is expected to provide insightful information on turning period for the world's current battle against the COVID-19 pandemic. The underlying mathematical model in our framework is the individual Susceptible-Exposed- Infective-Removed (iSEIR) model, which is a set of differential equations extending the classic SEIR model. We used the observed daily cases of COVID-19 in Wuhan from February 6 to 10, 2020 as the input to the iSEIR model and were able to generate the trajectory of COVID-19 cases dynamics for the following days at midnight of February 10 based on the updated model, from which we predicted that the turning period of CIVID-19 outbreak in Wuhan would arrive within one week after February 14. This prediction turned to be timely and accurate, providing adequate time for the government, hospitals, essential industry sectors and services to meet peak demands and to prepare aftermath planning. Our study also supports the observed effectiveness on flatting the epidemic curve by decisively imposing the Lockdown and Isolation Control Program in Wuhan since January 23, 2020. The Wuhan experience provides an exemplary lesson for the whole world to learn in combating COVID-19.
has issue date	2020-04-05(xsd:dateTime)
has license	arxiv
sha1sum (hex)	9497944622371ffb45f9ebf179721203014b54e9
resource representing a document's title	The Framework for the Prediction of the Critical Turning Period for Outbreak of COVID-19 Spread in China based on the iSEIR Model
resource representing a document's body	covid:9497944622371ffb45f9ebf179721203014b54e9#body_text
is schema:about of	named entity 'PREDICTING' named entity 'ESTABLISH' named entity 'TURNING' named entity 'TIMELY' named entity 'INFECTIOUS DISEASE EPIDEMIC' named entity 'TURNING' named entity 'CHINA' named entity 'SPREAD' named entity 'COVID-19' covid:arg/9497944622371ffb45f9ebf179721203014b54e9 named entity 'Wuhan COVID-19' named entity 'COVID-19 outbreak' named entity 'ODEs' named entity 'endemic' named entity 'Wuhan' named entity 'vaccine' named entity 'Japan' named entity 'official data' named entity 'Hubei' named entity 'avian influenza virus' named entity 'Wuhan' named entity 'China' named entity 'numerical simulation' named entity 'February 1' named entity 'infection' named entity 'COVID-19' named entity 'Infectious diseases' named entity 'flatten the curve' named entity 'China' named entity 'quarantine' named entity 'emergency plan' named entity 'China' named entity 'probability' named entity 'coronavirus disease 2019' named entity 'vaccine' named entity 'infectious diseases' named entity 'COVID-19' named entity 'socalled' named entity 'China' named entity 'adjacency matrix' named entity 'quarantine' named entity 'death rate' named entity 'probability' named entity 'COVID' named entity 'human life' named entity 'epidemic' named entity 'February 1' named entity 'MERS-CoV' named entity 'spread of COVID-19' named entity 'infectious diseases' named entity 'epidemic' named entity 'Wuhan' named entity 'pandemics' named entity 'epidemic' named entity 'current COVID-19 outbreak' named entity 'official data' named entity 'official data' named entity 'death rate' named entity 'COVID-19 virus' named entity 'economic development' named entity 'virus' named entity 'epidemic' named entity 'mortality rate' named entity 'WHO' named entity 'COVID-19' named entity 'virus' named entity 'Suizhou' named entity 'infection' named entity 'virus' named entity '4.2' named entity 'Huangshi' named entity 'China' named entity 'virus' named entity 'China' named entity 'death rate' named entity 'Wuhan' named entity 'COVID' named entity 'Wuhan' named entity 'China' named entity 'China' named entity 'SEIR' named entity 'pandemics'

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