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Measuring the unknown: An estimator and simulation study for assessing case reporting during epidemi...

Measuring the unknown: An estimator and simulation study for assessing case reporting during epidemi...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_2677644719

Measuring the unknown: An estimator and simulation study for assessing case reporting during epidemics

About this item

Full title

Measuring the unknown: An estimator and simulation study for assessing case reporting during epidemics

Publisher

United States: Public Library of Science

Journal title

PLoS computational biology, 2022-05, Vol.18 (5), p.e1008800-e1008800

Language

English

Formats

Publication information

Publisher

United States: Public Library of Science

More information

Scope and Contents

Contents

The fraction of cases reported, known as ‘reporting’, is a key performance indicator in an outbreak response, and an essential factor to consider when modelling epidemics and assessing their impact on populations. Unfortunately, its estimation is inherently difficult, as it relates to the part of an epidemic which is, by definition, not observed. W...

Alternative Titles

Full title

Measuring the unknown: An estimator and simulation study for assessing case reporting during epidemics

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_plos_journals_2677644719

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_2677644719

Other Identifiers

ISSN

1553-7358,1553-734X

E-ISSN

1553-7358

DOI

10.1371/journal.pcbi.1008800

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