Estimating the magnitude of surveillance bias in COVID-19
Estimating the magnitude of surveillance bias in COVID-19
About this item
Full title
Author / Creator
Tancredi, S , Cullati, S and Chiolero, A
Publisher
Oxford: Oxford University Press
Journal title
Language
English
Formats
Publication information
Publisher
Oxford: Oxford University Press
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Scope and Contents
Contents
Background
Most European countries implemented COVID-19 surveillance systems based notably on the number of diagnosed infections. Using this number as an indicator of epidemic severity is however problematic since it is influenced by testing modality. Indeed, differences in the frequency of infections are partly due to differences in detection r...
Alternative Titles
Full title
Estimating the magnitude of surveillance bias in COVID-19
Authors, Artists and Contributors
Author / Creator
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Record Identifier
TN_cdi_proquest_journals_3192349515
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_3192349515
Other Identifiers
ISSN
1101-1262
E-ISSN
1464-360X
DOI
10.1093/eurpub/ckac130.096