About: COVID-19 Pandemic in Pakistan: Stages and Recommendations

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

About: COVID-19 Pandemic in Pakistan: Stages and Recommendations 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	COVID-19 Pandemic in Pakistan: Stages and Recommendations
Creator	Saif, Farhan
source	MedRxiv
abstract	We present a real-time forecast of COVID-19 in Pakistan that is important for decision-making to control the spread of the pandemic in the country. The study helps to develop an accurate plan to eradicate the COVID-19 by taking calculated steps at the appropriate time, that are crucial in the absence of a tested medicine. We use four phenomenological mathematical models, namely Discrete Exponential Growth model, the Discrete Generalized Growth model, the Discrete Generalized Logistic Growth, and Discrete Generalize Richards Growth model. Our analysis explains the important characteristics quantitatively. The study leads to understand COVID-19 pandemic in Pakistan in three evolutionary stages, and provides understanding to control its spread in the short time domain and in the long term domain. For the reason the study is helpful in devising the measures to handle the emerging threat of similar outbreaks in other countries.
has issue date	2020-05-14(xsd:dateTime)
bibo:doi	10.1101/2020.05.11.20098004
has license	medrxiv
sha1sum (hex)	f8610fa36c5748375b176b2c6497de6a321ed4da
schema:url	https://doi.org/10.1101/2020.05.11.20098004
resource representing a document's title	COVID-19 Pandemic in Pakistan: Stages and Recommendations
resource representing a document's body	covid:f8610fa36c5748375b176b2c6497de6a321ed4da#body_text
is schema:about of	named entity 'medicine' named entity 'tested' named entity 'USE' named entity 'PANDEMIC' named entity 'DECISION-MAKING' named entity 'decision-making' named entity 'real-time' named entity 'time' named entity 'mathematical models' named entity 'accurate' named entity 'Pakistan' named entity 'COVID-19' named entity 'decision-making' named entity 'Pakistan' named entity 'preprint' named entity 'peer review' named entity 'epidemiological' named entity 'severe acute respiratory syndrome' named entity 'medRxiv' named entity 'medRxiv' named entity 'logistics' named entity 'COVID-19 pandemic in Pakistan' named entity 'COVID' named entity 'differential equations' named entity 'CC-BY-NC-ND 4.0' named entity 'May 31' named entity 'logistic model' named entity 'Pakistan' named entity 'growth model' named entity 'COVID-19' named entity 'restricting the movement of people' named entity 'COVID-19' named entity 'medRxiv' named entity 'zoonotic origin' named entity 'exponential increase' named entity 'COVID' named entity 'COVID' named entity 'preprint' named entity 'China' named entity 'coronavirus' named entity 'Europe' named entity 'preprint' named entity 'Pakistan' named entity 'preprint' named entity 'May 31' named entity 'medRxiv' named entity 'COVID-19 pandemic' named entity 'COVID-19 pandemic' named entity 'growth models' named entity 'black line' named entity 'medRxiv' named entity 'preprint' named entity 'exponential growth' named entity 'quarantining' named entity 'black line' named entity 'Pakistan' named entity 'dashed' named entity 'preprint' named entity 'COVID-19 pandemic' named entity 'Growth model' named entity 'data analysis' named entity '1, 2' named entity 'pandemics' named entity 'COVID' named entity 'preprint' named entity 'Logistic Growth' named entity 'growth model' named entity 'Government of Pakistan' named entity 'peer review' named entity 'quarantine' named entity 'coronavirus in Pakistan' named entity 'Growth model' named entity 'n + 1' named entity 'dashed' named entity 'COVID-19' named entity 'mathematical analysis' named entity 'preprint' named entity 'Stage III' named entity 'preprint' named entity 'preprint' named entity 'preprint' named entity 'Wuhan' named entity 'Pakistan' named entity 'mathematical model' named entity 'future risk'

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