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Estimating COVID-19 associated hospitalizations, ICU admissions, and in-hospital deaths averted in t...

Estimating COVID-19 associated hospitalizations, ICU admissions, and in-hospital deaths averted in t...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_3162572200

Estimating COVID-19 associated hospitalizations, ICU admissions, and in-hospital deaths averted in the United States by 2023–2024 COVID-19 vaccination: A conditional probability, causal inference, and multiplier-based approach

About this item

Full title

Estimating COVID-19 associated hospitalizations, ICU admissions, and in-hospital deaths averted in the United States by 2023–2024 COVID-19 vaccination: A conditional probability, causal inference, and multiplier-based approach

Publisher

Netherlands: Elsevier Ltd

Journal title

Vaccine, 2025-03, Vol.49, p.126808-126808, Article 126808

Language

English

Formats

Publication information

Publisher

Netherlands: Elsevier Ltd

More information

Scope and Contents

Contents

AbstractCOVID-19-associated hospitalizations, ICU admissions, and in-hospital deaths averted from 2023 to 2024 COVID-19 vaccination from the weeks of October 1, 2023, through April 21, 2024, were estimated via a novel multiplier model that utilized causal inference, conditional probabilities of hospitalization, and correlations between data element...

Alternative Titles

Full title

Estimating COVID-19 associated hospitalizations, ICU admissions, and in-hospital deaths averted in the United States by 2023–2024 COVID-19 vaccination: A conditional probability, causal inference, and multiplier-based approach

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_miscellaneous_3162572200

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_3162572200

Other Identifiers

ISSN

0264-410X,1873-2518

E-ISSN

1873-2518

DOI

10.1016/j.vaccine.2025.126808

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