About: Effects of mobility and multi-seeding on the propagation of the COVID-19 in Spain

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About: Effects of mobility and multi-seeding on the propagation of the COVID-19 in Spain 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	Effects of mobility and multi-seeding on the propagation of the COVID-19 in Spain
Creator	Meloni, Sandro Hernando, Alberto Mateo, David Mazzoli, Mattia Ramasco, José
Source	MedRxiv
abstract	Assessing the impact of mobility on epidemic spreading is of crucial importance for understanding the effect of policies like mass quarantines and selective re-openings. High mobility between areas contribute to the importation of cases, affecting the spread of the disease. While many factors influence local incidence and making it more or less homogeneous with respect to other areas, the importance of multi-seeding has often been overlooked. Multi-seeding occurs when several independent (non-clustered) infected individuals arrive at a susceptible population. This can give rise to autonomous outbreaks that impact separate areas of the contact (social) network. Such mechanism has the potential to boost local incidence and size, making control and tracing measures less effective. In Spain, the high heterogeneity in incidence between similar areas despite the uniform mobility control measures taken suggests that multi-seeding could have played an important role in shaping the spreading of the disease. In this work, we focus on the spreading of SARS-CoV-2 among the $52$ Spanish provinces, showing that local incidence strongly correlates with mobility occurred in the early-stage weeks from and to Madrid, the main mobility hub and where the initial local outbreak unfolded. These results clarify the higher order effects that mobility can have on the evolution of an epidemic and highlight the relevance of its control.
has issue date	2020-05-13(xsd:dateTime)
bibo:doi	10.1101/2020.05.09.20096339
has license	medrxiv
sha1sum (hex)	6943eaa05948e4afc000342c0c8a3dab68533785
schema:url	https://doi.org/10.1101/2020.05.09.20096339
resource representing a document's title	Effects of mobility and multi-seeding on the propagation of the COVID-19 in Spain
resource representing a document's body	covid:6943eaa05948e4afc000342c0c8a3dab68533785#body_text
is schema:about of	named entity 'outbreak' named entity 'areas' named entity 'higher order' named entity 'mobility' named entity 'measures' named entity 'MASS' named entity 'INCIDENCE' named entity 'POLICIES' named entity 'INDIVIDUALS' named entity 'WORK' named entity 'ORDER' named entity 'ASSESSING' named entity 'OUTBREAK' named entity 'HUB' named entity 'HIGHER' named entity 'incidence' named entity 'infected' named entity 'susceptible' named entity 'Spain' named entity 'cases' named entity 'selective' named entity 'policies' named entity 'This' named entity 'Madrid' named entity 'arrive' named entity 'respect' named entity 'evolution' named entity 'impact' named entity 'size' named entity 'initial' named entity 'areas' named entity 'epidemic' named entity 'evolution' named entity 'Spain' named entity 'contagions' named entity 'number of new cases' named entity 'epidemic' named entity 'Madrid' named entity 'COVID-19' named entity 'contagions' named entity 'telecommunication network' named entity 'statistical model' named entity 'March 6' named entity 'Hubei' named entity 'Madrid' named entity 'logarithm' named entity 'Pearson correlation' named entity 'epidemic' named entity 'public health' named entity 'province in China' named entity 'confidence interval' named entity 'epidemic' named entity 'pharmacies' named entity 'epidemic' named entity 'Madrid' named entity 'epidemic' named entity 'office hours' named entity 'SARS-CoV-2' named entity 'probability' named entity 'epidemic' named entity 'multivariate analysis' named entity 'Madrid' named entity 'NUTS 3' named entity 'Cadiz' named entity 'Madrid' named entity 'intrinsic variable' named entity 'metropolitan area of Madrid' named entity 'Madrid' named entity 'COVID-19 pandemic in Spain' named entity 'Almeria' named entity 'Spain' named entity 'Ceuta' named entity 'Madrid' named entity 'epidemiological' named entity 'March 6' named entity 'epidemic' named entity 'Huelva' named entity 'March 6' named entity 'medRxiv' named entity 'Guadalajara' named entity 'local transmission'

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