About: Superspreading k-cores at the center of COVID-19 pandemic persistence

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About: Superspreading k-cores at the center of COVID-19 pandemic persistence 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	Superspreading k-cores at the center of COVID-19 pandemic persistence
Creator	Makse, Hernán Andrade, José Igual, Carles Lima Neto, Antonio Luo, Shaojun Monteiro, Higor Reis, Saulo Serafino, Matteo Travizano, Matías
Source	MedRxiv
abstract	The spread of COVID-19 caused by the recently discovered SARS-CoV-2 virus has become a worldwide problem with devastating consequences. To slow down the spread of the pandemic, mass quarantines have been implemented globally, provoking further social and economic disruptions. Here, we address this problem by implementing a large-scale contact tracing network analysis to find the optimal quarantine protocol to dismantle the chain of transmission of coronavirus with minimal disruptions to society. We track billions of anonymized GPS human mobility datapoints from a compilation of hundreds of mobile apps deployed in Latin America to monitor the evolution of the contact network of disease transmission before and after the confinements. As a consequence of the lockdowns, people's mobility across the region decreases by ~53%, which results in a drastic disintegration of the transmission network by ~90%. However, this disintegration did not halt the spreading of the disease. Our analysis indicates that superspreading k-core structures persist in the transmission network to prolong the pandemic. Once the k-cores are identified, the optimal strategy to break the chain of transmission is to quarantine a minimal number of 'weak links' with high betweenness centrality connecting the large k-cores. Our results demonstrate the effectiveness of an optimal tracing strategy to halt the pandemic. As countries race to build and deploy contact tracing apps, our results could turn into a valuable resource to help deploy protocols with minimized disruptions.
has issue date	2020-08-14(xsd:dateTime)
bibo:doi	10.1101/2020.08.12.20173476
has license	medrxiv
sha1sum (hex)	6c2ef829f1505d349cb835fdf81be6fe89ae8da7
schema:url	https://doi.org/10.1101/2020.08.12.20173476
resource representing a document's title	Superspreading k-cores at the center of COVID-19 pandemic persistence
resource representing a document's body	covid:6c2ef829f1505d349cb835fdf81be6fe89ae8da7#body_text
is schema:about of	named entity 'coronavirus' named entity 'SARS-CoV-2' named entity 'mass' named entity 'discovered' named entity 'COVID-19' named entity 'pandemic' named entity 'quarantine' named entity 'SARS-CoV-2 virus' named entity 'coronavirus' named entity 'quarantine' named entity 'k-cores' named entity 'betweenness centrality' named entity 'k-cores' named entity 'mobile apps' named entity 'probability' named entity 'geolocalized' named entity 'k-core' named entity '95% confidence interval' named entity 'Latin America' named entity 'k-core' named entity 'k-cores' named entity 'k-core' named entity 'contact tracing' named entity 'sampling bias' named entity 'probability' named entity 'COVID' named entity 'March 27' named entity 'quarantine' named entity '0.9' named entity 'probability' named entity 'ensemble average' named entity 'demographic' named entity '1.2' named entity 'virus' named entity 'GPS technology' named entity 'GPS' named entity 'vaccine' named entity 'demographic' named entity 'quarantine' named entity 'k-cores' named entity '450 million' named entity 'superspreaders' named entity 'k-cores' named entity 'quarantine' named entity 'coronavirus' named entity 'asymptomatic' named entity 'data quality' named entity 'k-core' named entity 'giant connected component' named entity 'disease transmission' named entity 'percolation transition' named entity 'epidemiological' named entity 'quarantine' named entity 'k-core' named entity 'COVID-19 pandemic' named entity 'contact tracing apps' named entity 'Ceará' named entity 'algorithm' named entity 'degree distribution' named entity 'GPS' named entity 'March 19' named entity 'GCC' named entity 'SARS-COV-2' named entity 'GPS' named entity 'betweenness centrality' named entity 'quarantine' named entity 'contact tracing app' named entity 'geolocalized' named entity 'k-core' named entity 'superspreaders' named entity 'socio-economic' named entity 'K-core' named entity 'GPS' named entity 'COVID' named entity 'k-cores' named entity 'quarantine' named entity 'PDF'

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