Log in to save to my catalogue

Bayesian estimation of SARS-CoV-2 prevalence in Indiana by random testing

Bayesian estimation of SARS-CoV-2 prevalence in Indiana by random testing

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7865174

Bayesian estimation of SARS-CoV-2 prevalence in Indiana by random testing

About this item

Full title

Bayesian estimation of SARS-CoV-2 prevalence in Indiana by random testing

Publisher

United States: National Academy of Sciences

Journal title

Proceedings of the National Academy of Sciences - PNAS, 2021-02, Vol.118 (5), p.1-8

Language

English

Formats

Publication information

Publisher

United States: National Academy of Sciences

More information

Scope and Contents

Contents

From 25 to 29 April 2020, the state of Indiana undertook testing of 3,658 randomly chosen state residents for the novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus, the agent causing COVID-19 disease. This was the first statewide randomized study of COVID-19 testing in the United States. Both PCR and serological tests were ad...

Alternative Titles

Full title

Bayesian estimation of SARS-CoV-2 prevalence in Indiana by random testing

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7865174

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7865174

Other Identifiers

ISSN

0027-8424

E-ISSN

1091-6490

DOI

10.1073/pnas.2013906118

How to access this item