Uncertainty quantification and sensitivity analysis of COVID-19 exit strategies in an individual-based transmission model

Uncertainty quantification and sensitivity analysis of COVID-19 exit strategies in an individual-based transmission model

Many countries are currently dealing with the COVID-19 epidemic and are searching for an exit strategy such that life in society can return to normal. To support this search, computational models are used to predict the spread of the virus and to assess the efficacy of policy measures before actual...

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Bibliographic Details
Main Authors: Coffeng, L.E (Author), Crommelin, D. (Author), de Vlas, S.J (Author), Edeling, W. (Author), Gugole, F. (Author), Sanderse, B. (Author)
Format: Article
Language:English
Published: Public Library of Science 2021
Subjects:
Article
communicable disease control
Communicable Disease Control
computer simulation
Computer Simulation
contact examination
Contact Tracing
control strategy
coronavirus disease 2019
COVID-19
disease duration
epidemiology
geographic distribution
health care policy
human
Humans
infection control
intensive care
isolation and purification
lockdown
mathematical computing
pandemic
prevalence
prevention and control
probability
Probability
procedures
SARS-CoV-2
sensitivity analysis
stochastic model
uncertainty
Uncertainty
virology
virus transmission
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