About: Epidemic Analysis of COVID-19 in Egypt, Qatar and Saudi Arabia using the Generalized SEIR Model

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

About: Epidemic Analysis of COVID-19 in Egypt, Qatar and Saudi Arabia using the Generalized SEIR 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	Epidemic Analysis of COVID-19 in Egypt, Qatar and Saudi Arabia using the Generalized SEIR Model
Creator	Mohamed, Ahmed Fahmy, Ahmed El-Desouky, Mohammed
Source	MedRxiv
abstract	Background. Since its emergence in late December 2019 and its declaration as a global pandemic by World Health Organization (WHO) on March 11, 2020, the novel coronavirus disease known as (COVID-19) has attracted global attention. The process of modeling and predicting the pandemic behavior became crucial as the different states needed accurate predictions to be able to adopt suitable policies to minimize the pressure on their health care systems. Researchers have employed modified variants of classical SIR/SEIR models to describe the dynamics of this pandemic. In this paper, after proven effective in numerous countries, a modified variant of SEIR is implemented to predict the behavior of COVID-19 in Egypt and other countries in the Middle East. Methods. We built MATLAB simulations to fit the real data of COVID-19 Active, recovered and death Cases in Egypt, Qatar and Saudi Arabia to the modified SEIR model via Nelder-Mead algorithm to be able to estimate the future dynamics of the pandemic. Findings. We estimate several characteristics of COVID-19 future dynamics in Egypt, Qatar and Saudi Arabia. We also estimate that the pandemic will resolve in the countries under investigation in February 2021, January 2021 and 28th August 2020 with total death cases of 9,742, 5,600 and 185 and total cases of 187,600, 490,000 and 120,000 respectively.
has issue date	2020-08-22(xsd:dateTime)
bibo:doi	10.1101/2020.08.19.20178129
has license	medrxiv
sha1sum (hex)	c3eec414fbd14b4b9a88755e3eafd618c25e3af0
schema:url	https://doi.org/10.1101/2020.08.19.20178129
resource representing a document's title	Epidemic Analysis of COVID-19 in Egypt, Qatar and Saudi Arabia using the Generalized SEIR Model
resource representing a document's body	covid:c3eec414fbd14b4b9a88755e3eafd618c25e3af0#body_text
is schema:about of	named entity 'Saudi Arabia' named entity 'global' named entity 'pandemic' named entity 'Epidemic' named entity 'late December' named entity 'COVID' named entity 'Epidemic' named entity 'SEIR' named entity 'SEIR' named entity 'medRxiv' named entity 'preprint' named entity 'viruses' named entity 'medRxiv' named entity 'medRxiv' named entity 'preprint' named entity 'SEIR' named entity 'COVID' named entity 'peer review' named entity 'preprint' named entity 'preprint' named entity 'preprint' named entity 'preprint' named entity 'preprint' named entity 'COVID' named entity '5.1' named entity 'mortality rate' named entity 'preprint' named entity 'COVID' named entity 'Saudi Arabia' named entity 'applied mathematics' named entity 'medRxiv' named entity 'preprint' named entity 'preprint' named entity 'Saudi Arabia' named entity 'medRxiv' named entity 'Science and Engineering' named entity 'preprint' named entity 'Saudi Arabia' named entity 'epidemic' named entity 'peer review' named entity 'medRxiv' named entity 'Qatar' named entity 'Egypt' named entity 'algorithm' named entity 'CC-BY 4.0 International license' named entity 'epidemics' named entity 'medRxiv' named entity 'medRxiv' named entity 'param' named entity 'peer review' named entity 'Egypt' named entity 'March 2020' named entity 'peer review' named entity 'peer review' named entity 'preprint' named entity 'epidemic' named entity 'SEIR' named entity 'preprint' named entity 'preprint' named entity 'death rate' named entity 'CC-BY 4.0 International license' named entity 'COVID' named entity 'incubation period' named entity 'SIR model' named entity 'time evolution' named entity 'medRxiv' named entity 'parameter estimation' named entity 'plague' named entity 'time series' named entity 'France' named entity 'Pharmaceutical' named entity 'peer review' named entity 'peer review' named entity 'medRxiv' named entity 'lock-down' named entity 'preprint' named entity 'medRxiv' named entity 'preprint' named entity 'Algorithm' named entity 'nonlinear optimization' named entity 'viruses' named entity 'preprint' named entity 'preprint'

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