About: covid:PMC7153364

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About: covid:PMC7153364 Goto Sponge NotDistinct Permalink

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

Attributes	Values
Creator	Christie, Jason Levy, Michael Anesi, George Brennan, Patrick Halpern, Scott Becker, Michael Mikkelsen, Mark Chivers, Corey Crane-Droesch, Andrew Draugelis, Michael Hanish, Asaf Hanson III, C. Lubken, Jason Luong, ThaiBinh Weissman, Gary
is schema:about of	named entity 'Pandemic' named entity 'Needs' named entity 'COVID-19 PANDEMIC' named entity 'NEEDS' named entity 'LOCALLY' named entity 'HOSPITAL' named entity 'Capacity' named entity 'Hospital Capacity' named entity 'epidemic' named entity 'Pennsylvania government' named entity 'COVID-19' named entity 'COVID-19' named entity 'deterministic' named entity 'epidemics' named entity 'epidemic' named entity 'data science' named entity 'COVID-19' named entity 'China' named entity 'Philadelphia' named entity 'epidemic' named entity 'epidemic' named entity 'invasive mechanical ventilation' named entity 'decision makers' named entity 'sensitivity analysis' named entity 'COVID-19' named entity 'closed wing' named entity 'COVID-19' named entity 'ventilator' named entity 'ICU' named entity 'decision making' named entity 'Web' named entity 'COVID-19' named entity 'post-acute' named entity 'epidemic' named entity 'Python' named entity 'COVID-19' named entity 'epidemic' named entity 'mean-squared error' named entity 'data science' named entity 'acute care' named entity 'acute respiratory failure' named entity 'epidemiologic data' named entity 'transmission rate' named entity 'COVID-19' named entity 'ICU' named entity 'epidemic' named entity 'ICU' named entity 'percentile' named entity 'ICU' named entity 'emergency department' named entity 'doubling time' named entity 'epidemic' named entity 'shelter-in-place' named entity 'COVID-19' named entity 'resource allocation' named entity 'SIR model' named entity 'Philadelphia' named entity 'COVID-19' named entity 'ICU beds' named entity 'COVID-19' named entity 'dialysis' named entity 'COVID-19' named entity 'sensitivity analyses' named entity 'epidemic' named entity 'Italy' named entity 'Philadelphia' named entity 'epidemics' named entity 'physical distancing' named entity 'infection' named entity 'disease transmission' named entity 'historical data' named entity 'Monte Carlo' named entity 'physical distancing' named entity 'epidemic spread' named entity 'acute care' named entity 'probability distributions' named entity 'SIR model' named entity 'sensitivity analyses' named entity 'clinical outcomes' named entity 'COVID-19 infection' named entity 'ICU' named entity 'triage' named entity 'ventilator' named entity 'epidemic' named entity 'South Korea'

Attributes

Values

Creator

Christie, Jason
Levy, Michael
Anesi, George
Brennan, Patrick
Halpern, Scott
Becker, Michael
Mikkelsen, Mark
Chivers, Corey
Crane-Droesch, Andrew
Draugelis, Michael
Hanish, Asaf
Hanson III, C.
Lubken, Jason
Luong, ThaiBinh
Weissman, Gary

is schema:about of

named entity 'Pandemic'
named entity 'Needs'
named entity 'COVID-19 PANDEMIC'
named entity 'NEEDS'
named entity 'LOCALLY'
named entity 'HOSPITAL'
named entity 'Capacity'
named entity 'Hospital Capacity'
named entity 'epidemic'
named entity 'Pennsylvania government'
named entity 'COVID-19'
named entity 'COVID-19'
named entity 'deterministic'
named entity 'epidemics'
named entity 'epidemic'
named entity 'data science'
named entity 'COVID-19'
named entity 'China'
named entity 'Philadelphia'
named entity 'epidemic'
named entity 'epidemic'
named entity 'invasive mechanical ventilation'
named entity 'decision makers'
named entity 'sensitivity analysis'
named entity 'COVID-19'
named entity 'closed wing'
named entity 'COVID-19'
named entity 'ventilator'
named entity 'ICU'
named entity 'decision making'
named entity 'Web'
named entity 'COVID-19'
named entity 'post-acute'
named entity 'epidemic'
named entity 'Python'
named entity 'COVID-19'
named entity 'epidemic'
named entity 'mean-squared error'
named entity 'data science'
named entity 'acute care'
named entity 'acute respiratory failure'
named entity 'epidemiologic data'
named entity 'transmission rate'
named entity 'COVID-19'
named entity 'ICU'
named entity 'epidemic'
named entity 'ICU'
named entity 'percentile'
named entity 'ICU'
named entity 'emergency department'
named entity 'doubling time'
named entity 'epidemic'
named entity 'shelter-in-place'
named entity 'COVID-19'
named entity 'resource allocation'
named entity 'SIR model'
named entity 'Philadelphia'
named entity 'COVID-19'
named entity 'ICU beds'
named entity 'COVID-19'
named entity 'dialysis'
named entity 'COVID-19'
named entity 'sensitivity analyses'
named entity 'epidemic'
named entity 'Italy'
named entity 'Philadelphia'
named entity 'epidemics'
named entity 'physical distancing'
named entity 'infection'
named entity 'disease transmission'
named entity 'historical data'
named entity 'Monte Carlo'
named entity 'physical distancing'
named entity 'epidemic spread'
named entity 'acute care'
named entity 'probability distributions'
named entity 'SIR model'
named entity 'sensitivity analyses'
named entity 'clinical outcomes'
named entity 'COVID-19 infection'
named entity 'ICU'
named entity 'triage'
named entity 'ventilator'
named entity 'epidemic'
named entity 'South Korea'

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