About: Data-driven modeling and forecasting of COVID-19 outbreak for public policy making

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

About: Data-driven modeling and forecasting of COVID-19 outbreak for public policy making 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
has title	Data-driven modeling and forecasting of COVID-19 outbreak for public policy making
Creator	Hasan, A Nuraini, N Susanto, H Putri, E
Source	MedRxiv
abstract	This paper presents a data-driven approach for COVID-19 outbreak modeling and forecasting, which can be used by public policy and decision makers to control the outbreak through Non-Pharmaceutical Interventions (NPI). First, we apply an extended Kalman filter (EKF) to a discrete-time stochastic augmented compartmental model to estimate the time-varying effective reproduction number Rt. We use daily confirmed cases, active cases, recovered cases, deceased cases, Case-Fatality-Rate (CFR), and infectious time as inputs for the model. Furthermore, we define a Transmission Index (TI) as a ratio between the instantaneous and the maximum value of the effective reproduction number. The value of TI shows the disease transmission in a contact between a susceptible and an infectious individual due to current measures such as physical distancing and lock-down relative to a normal condition. Based on the value of TI, we forecast different scenarios to see the effect of relaxing and tightening public measures. Case studies in three countries are provided to show the practicability of our approach.
has issue date	2020-08-02(xsd:dateTime)
bibo:doi	10.1101/2020.07.30.20165555
has license	medrxiv
sha1sum (hex)	d7f197974ba5e020b65bfd9412da81ea65d7279c
schema:url	https://doi.org/10.1101/2020.07.30.20165555
resource representing a document's title	Data-driven modeling and forecasting of COVID-19 outbreak for public policy making
resource representing a document's body	covid:d7f197974ba5e020b65bfd9412da81ea65d7279c#body_text
is schema:about of	named entity 'daily' named entity 'Kalman filter' named entity 'Interventions' named entity 'effective' named entity 'relaxing' named entity 'public policy' named entity 'STOCHASTIC' named entity 'FORECAST' named entity 'OUTBREAK' named entity 'VARYING' named entity 'CURRENT' named entity 'NON-' named entity 'NORMAL CONDITION' named entity 'DECISION' named entity 'DECEASED' named entity 'ESTIMATE' named entity 'EXTENDED' named entity 'MEASURES' named entity 'INTERVENTIONS' named entity 'DUE TO' named entity 'APPROACH' named entity 'maximum' named entity 'ratio' named entity 'physical' named entity 'normal' named entity 'current' named entity 'cases' named entity 'decision makers' named entity 'recovered' named entity 'Transmission' named entity 'effective reproduction number' named entity 'stochastic' named entity 'disease transmission' named entity 'physical distancing' named entity 'EKF' named entity 'public policy making' named entity 'compartmental model' named entity 'probability' named entity 'Australia' named entity 'stochastic' named entity 'peer review' named entity 'COVID-19' named entity 'EKF' named entity 'epidemiological' named entity '27 July' named entity 'death rates' named entity 'Denmark' named entity 'medRxiv' named entity 'physical distancing' named entity 'quarantine' named entity 'effective reproduction number' named entity '27 July' named entity 'physical distancing' named entity 'RMSE' named entity 'EKF' named entity 'peer review' named entity 'March 2020' named entity 'COVID-19 pandemic' named entity 'stochastic' named entity 'public policy' named entity 'peer review' named entity 'COVID-19 outbreak' named entity 'time interval' named entity 'virus' named entity 'medRxiv' named entity 'stochastic model' named entity 'peer review' named entity 'UAE' named entity 'Quarantine' named entity 'stochastic' named entity 'quarantine' named entity 'medRxiv' named entity 'peer review' named entity 'EKF' named entity 'Pharmaceutical' named entity 'COVID-19' named entity 'public policy' named entity 'peer review' named entity 'medRxiv' named entity 'piecewise constant function' named entity 'COVID-19' named entity 'Australia'

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