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Developing a COVID-19 mortality risk prediction model when individual-level data are not available

Developing a COVID-19 mortality risk prediction model when individual-level data are not available

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_b6f41c67d1bb44c58e4540ffa24f6729

Developing a COVID-19 mortality risk prediction model when individual-level data are not available

About this item

Full title

Developing a COVID-19 mortality risk prediction model when individual-level data are not available

Publisher

London: Nature Publishing Group UK

Journal title

Nature communications, 2020-09, Vol.11 (1), p.4439-9, Article 4439

Language

English

Formats

Publication information

Publisher

London: Nature Publishing Group UK

More information

Scope and Contents

Contents

At the COVID-19 pandemic onset, when individual-level data of COVID-19 patients were not yet available, there was already a need for risk predictors to support prevention and treatment decisions. Here, we report a hybrid strategy to create such a predictor, combining the development of a baseline severe respiratory infection risk predictor and a po...

Alternative Titles

Full title

Developing a COVID-19 mortality risk prediction model when individual-level data are not available

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_b6f41c67d1bb44c58e4540ffa24f6729

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_b6f41c67d1bb44c58e4540ffa24f6729

Other Identifiers

ISSN

2041-1723

E-ISSN

2041-1723

DOI

10.1038/s41467-020-18297-9

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