About: covid:PMC7201389

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About: covid:PMC7201389 Goto Sponge NotDistinct Permalink

An Entity of Type : owl:Thing, within Data Space : covidontheweb.inria.fr associated with source document(s)

Attributes	Values
Creator	Dye, Christopher Tian, Huaiyu Lloyd-Smith, James Leung, Gabriel Gutierrez, Bernardo Vespignani, Alessandro Kraemer, Moritz Scarpino, Samuel Leung, Kathy Eggo, Rosalind Wu, Joseph Shrestha, Munik
is schema:about of	named entity 'infectious diseases' named entity 'public health interventions' named entity 'superspreading events' named entity 'COVID' named entity 'COVID-19' named entity 'epidemiological' named entity 'severe acute respiratory syndrome' named entity 'public transport' named entity 'controlled experiment' named entity 'statistical tests' named entity 'COVID' named entity 'epidemic' named entity 'COVID-19' named entity 'epidemiological data' named entity 'scale free' named entity 'epidemic' named entity 'virus' named entity 'transmissibility' named entity 'decision-makers' named entity 'epidemiologists' named entity 'epidemic spread' named entity 'pathogen' named entity 'SARS-CoV-2' named entity 'Wuhan' named entity 'mathematical model' named entity 'Christopher Dye' named entity 'GitHub' named entity 'pharmaceutical' named entity 'MERS' named entity 'public health' named entity 'public health' named entity 'airborne transmission' named entity 'probability' named entity 'virus' named entity 'infectious disease outbreaks' named entity 'clinical data' named entity 'pathogen' named entity 'socio-technical systems' named entity 'infectious disease dynamics' named entity 'social contact' named entity 'virus' named entity 'Middle East respiratory syndrome' named entity 'Google Sheets' named entity 'pathogens' named entity 'epidemics' named entity 'SARS-CoV-2' named entity 'epidemics' named entity 'serological tests' named entity 'peace time' named entity 'exponential growth' named entity 'Joseph Wu' named entity 'infectious disease' named entity 'coronavirus' named entity 'computational models' named entity 'basic reproduction number' named entity 'COVID-19' named entity 'data sharing' named entity 'pathogen' named entity 'synergistic' named entity 'Australia' named entity 'data collection' named entity 'contact tracing' named entity 'phase transition' named entity 'health costs' named entity 'epidemics' named entity 'superspreading events' named entity 'environmental factors' named entity 'situational awareness' named entity 'coronavirus' named entity 'epidemic' named entity 'mathematical modelling' named entity 'public health' named entity 'China' named entity 'empirical observations' named entity 'community transmission' named entity 'probability' named entity 'follow-up' named entity 'efficient transmission' named entity 'infection' named entity 'serological' named entity 'antibody response' named entity 'decision-makers' named entity 'crowdsourcing' named entity 'pathogen' named entity 'computational models' named entity 'detailed information' named entity 'infection' named entity 'epidemic'

Attributes

Values

Creator

Dye, Christopher
Tian, Huaiyu
Lloyd-Smith, James
Leung, Gabriel
Gutierrez, Bernardo
Vespignani, Alessandro
Kraemer, Moritz
Scarpino, Samuel
Leung, Kathy
Eggo, Rosalind
Wu, Joseph
Shrestha, Munik

is schema:about of

named entity 'infectious diseases'
named entity 'public health interventions'
named entity 'superspreading events'
named entity 'COVID'
named entity 'COVID-19'
named entity 'epidemiological'
named entity 'severe acute respiratory syndrome'
named entity 'public transport'
named entity 'controlled experiment'
named entity 'statistical tests'
named entity 'COVID'
named entity 'epidemic'
named entity 'COVID-19'
named entity 'epidemiological data'
named entity 'scale free'
named entity 'epidemic'
named entity 'virus'
named entity 'transmissibility'
named entity 'decision-makers'
named entity 'epidemiologists'
named entity 'epidemic spread'
named entity 'pathogen'
named entity 'SARS-CoV-2'
named entity 'Wuhan'
named entity 'mathematical model'
named entity 'Christopher Dye'
named entity 'GitHub'
named entity 'pharmaceutical'
named entity 'MERS'
named entity 'public health'
named entity 'public health'
named entity 'airborne transmission'
named entity 'probability'
named entity 'virus'
named entity 'infectious disease outbreaks'
named entity 'clinical data'
named entity 'pathogen'
named entity 'socio-technical systems'
named entity 'infectious disease dynamics'
named entity 'social contact'
named entity 'virus'
named entity 'Middle East respiratory syndrome'
named entity 'Google Sheets'
named entity 'pathogens'
named entity 'epidemics'
named entity 'SARS-CoV-2'
named entity 'epidemics'
named entity 'serological tests'
named entity 'peace time'
named entity 'exponential growth'
named entity 'Joseph Wu'
named entity 'infectious disease'
named entity 'coronavirus'
named entity 'computational models'
named entity 'basic reproduction number'
named entity 'COVID-19'
named entity 'data sharing'
named entity 'pathogen'
named entity 'synergistic'
named entity 'Australia'
named entity 'data collection'
named entity 'contact tracing'
named entity 'phase transition'
named entity 'health costs'
named entity 'epidemics'
named entity 'superspreading events'
named entity 'environmental factors'
named entity 'situational awareness'
named entity 'coronavirus'
named entity 'epidemic'
named entity 'mathematical modelling'
named entity 'public health'
named entity 'China'
named entity 'empirical observations'
named entity 'community transmission'
named entity 'probability'
named entity 'follow-up'
named entity 'efficient transmission'
named entity 'infection'
named entity 'serological'
named entity 'antibody response'
named entity 'decision-makers'
named entity 'crowdsourcing'
named entity 'pathogen'
named entity 'computational models'
named entity 'detailed information'
named entity 'infection'
named entity 'epidemic'

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