About: Evaluating the impact of international airline suspensions on the early global spread of COVID-19

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

About: Evaluating the impact of international airline suspensions on the early global spread of COVID-19 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	Evaluating the impact of international airline suspensions on the early global spread of COVID-19
Creator	Goldstein, Joshua Lewis, Bryan Beckman, Richard Dickerman, Allan Marathe, Madhav Orr, Mark Adiga, Aniruddha Baek, Young Barrett, Chris Barrow, Golda Bura, Andrei Chen, Jiangzhuo Eubank, Stephen Hoops, Stefan Klahn, Brian Machi, Dustin Mao, Chunhong Meng, Fanchao Mortveit, Henning Peddireddy, Akhil Porebski, Przemyslaw Raymond, Erin Schlitt, James Telionis, Pyrros Venkatramanan, Srinivasan Walke, Jim Warren, Andrew Wilson, Mandy Xie, Dawen
Source	MedRxiv; Medline
abstract	Global airline networks play a key role in the global importation of emerging infectious diseases. Detailed information on air traffic between international airports has been demonstrated to be useful in retrospectively validating and prospectively predicting case emergence in other countries. In this paper, we use a well-established metric known as effective distance on the global air traffic data from IATA to quantify risk of emergence for different countries as a consequence of direct importation from China, and compare it against arrival times for the first 24 countries. Using this model trained on official first reports from WHO, we estimate time of arrival (ToA) for all other countries. We then incorporate data on airline suspensions to recompute the effective distance and assess the effect of such cancellations in delaying the estimated arrival time for all other countries. Finally we use the infectious disease vulnerability indices to explain some of the estimated reporting delays.
has issue date	2020-02-23(xsd:dateTime)
bibo:doi	10.1101/2020.02.20.20025882
bibo:pmid	32511466
has license	medrxiv
sha1sum (hex)	ba3efcd6b74e55327fd7db470d824fc18943f30e
schema:url	https://doi.org/10.1101/2020.02.20.20025882
resource representing a document's title	Evaluating the impact of international airline suspensions on the early global spread of COVID-19
has PubMed identifier	32511466
schema:publication	medRxiv : the preprint server for health sciences
resource representing a document's body	covid:ba3efcd6b74e55327fd7db470d824fc18943f30e#body_text
is schema:about of	named entity 'EARLY' named entity 'arrival' named entity 'suspensions' named entity 'time' named entity 'data' named entity 'international airline' named entity 'INTERNATIONAL' named entity 'TIME' named entity 'INFORMATION' named entity 'NETWORKS' named entity 'REPORTS' named entity 'DIFFERENT' named entity 'DEMONSTRATED' named entity 'EMERGING INFECTIOUS DISEASES' named entity 'AIRLINE' named entity 'REPORTING' named entity 'SUSPENSIONS' named entity 'ASSESS' named entity 'SPREAD' named entity 'KNOWN' named entity 'ARRIVAL' named entity 'INTERNATIONAL' named entity 'IMPORTATION' named entity 'DETAILED' named entity 'OFFICIAL' named entity 'USEFUL' named entity 'GLOBAL' named entity 'COUNTRIES' named entity 'ESTIMATED' named entity 'MODEL' named entity 'QUANTIFY' named entity 'CASE' named entity 'SUSPENSIONS' named entity 'COVID-19' named entity 'EVALUATING' named entity 'DISTANCE' named entity 'AIR TRAFFIC' named entity 'AIRLINE' named entity 'USING' named entity 'KEY' named entity 'DIRECT' named entity 'TRAINED' named entity 'EFFECT' named entity 'CHINA' named entity 'ROLE' named entity 'AIRPORTS' named entity 'EFFECTIVE' named entity 'PREDICTING' named entity 'EMERGENCE' named entity 'ESTABLISHED' named entity 'TIMES' named entity 'DISEASE VULNERABILITY' named entity 'ESTIMATE' named entity 'DATA'

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