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An iterative algorithm for optimizing COVID-19 vaccination strategies considering unknown supply An...

An iterative algorithm for optimizing COVID-19 vaccination strategies considering unknown supply An...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_93754c2ee7444a65925351018f283cee

An iterative algorithm for optimizing COVID-19 vaccination strategies considering unknown supply An iterative algorithm for optimizing COVID-19 vaccination strategies considering unknown supply

About this item

Full title

An iterative algorithm for optimizing COVID-19 vaccination strategies considering unknown supply An iterative algorithm for optimizing COVID-19 vaccination strategies considering unknown supply

Publisher

Public Library of Science (PLoS)

Journal title

PloS one, 2022-01, Vol.17 (5)

Language

English

Formats

Publication information

Publisher

Public Library of Science (PLoS)

More information

Scope and Contents

Contents

Background and objective The distribution of the newly developed vaccines presents a great challenge in the ongoing SARS-CoV-2 pandemic. Policy makers must decide which subgroups should be vaccinated first to minimize the negative consequences of the pandemic. These decisions must be made upfront and under uncertainty regarding the amount of vaccin...

Alternative Titles

Full title

An iterative algorithm for optimizing COVID-19 vaccination strategies considering unknown supply An iterative algorithm for optimizing COVID-19 vaccination strategies considering unknown supply

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_93754c2ee7444a65925351018f283cee

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_93754c2ee7444a65925351018f283cee

Other Identifiers

E-ISSN

1932-6203

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