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Improving mathematical modeling of interventions to prevent healthcare-associated infections by inte...

Improving mathematical modeling of interventions to prevent healthcare-associated infections by inte...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_2634525217

Improving mathematical modeling of interventions to prevent healthcare-associated infections by interrupting transmission or pathogens: How common modeling assumptions about colonized individuals impact intervention effectiveness estimates

About this item

Full title

Improving mathematical modeling of interventions to prevent healthcare-associated infections by interrupting transmission or pathogens: How common modeling assumptions about colonized individuals impact intervention effectiveness estimates

Publisher

United States: Public Library of Science

Journal title

PloS one, 2022-02, Vol.17 (2), p.e0264344-e0264344

Language

English

Formats

Publication information

Publisher

United States: Public Library of Science

More information

Scope and Contents

Contents

Mathematical models are used to gauge the impact of interventions for healthcare-associated infections. As with any analytic method, such models require many assumptions. Two common assumptions are that asymptomatically colonized individuals are more likely to be hospitalized and that they spend longer in the hospital per admission because of their...

Alternative Titles

Full title

Improving mathematical modeling of interventions to prevent healthcare-associated infections by interrupting transmission or pathogens: How common modeling assumptions about colonized individuals impact intervention effectiveness estimates

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_plos_journals_2634525217

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_2634525217

Other Identifiers

ISSN

1932-6203

E-ISSN

1932-6203

DOI

10.1371/journal.pone.0264344

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