COVID-19: Nowcasting Reproduction Factors Using Biased Case Testing Data
COVID-19: Nowcasting Reproduction Factors Using Biased Case Testing Data
About this item
Full title
Author / Creator
Publisher
Ithaca: Cornell University Library, arXiv.org
Journal title
Language
English
Formats
Publication information
Publisher
Ithaca: Cornell University Library, arXiv.org
Subjects
More information
Scope and Contents
Contents
Timely estimation of the current value for COVID-19 reproduction factor \(R\) has become a key aim of efforts to inform management strategies. \(R\) is an important metric used by policy-makers in setting mitigation levels and is also important for accurate modelling of epidemic progression. This brief paper introduces a method for estimating \(R\)...
Alternative Titles
Full title
COVID-19: Nowcasting Reproduction Factors Using Biased Case Testing Data
Authors, Artists and Contributors
Author / Creator
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_proquest_journals_2406733554
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2406733554
Other Identifiers
E-ISSN
2331-8422
