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Uncertainty quantification and sensitivity analysis of COVID-19 exit strategies in an individual-bas...

Uncertainty quantification and sensitivity analysis of COVID-19 exit strategies in an individual-bas...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_2582586098

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

About this item

Full title

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

Publisher

United States: Public Library of Science

Journal title

PLoS computational biology, 2021-09, Vol.17 (9), p.e1009355-e1009355

Language

English

Formats

Publication information

Publisher

United States: Public Library of Science

More information

Scope and Contents

Contents

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 implementation. The model output has to be interpr...

Alternative Titles

Full title

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

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_plos_journals_2582586098

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_2582586098

Other Identifiers

ISSN

1553-7358,1553-734X

E-ISSN

1553-7358

DOI

10.1371/journal.pcbi.1009355

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