Real-time Estimates in Early Detection of SARS
Real-time Estimates in Early Detection of SARS
About this item
Full title
Author / Creator
Publisher
United States: U.S. National Center for Infectious Diseases
Journal title
Language
English
Formats
Publication information
Publisher
United States: U.S. National Center for Infectious Diseases
Subjects
More information
Scope and Contents
Contents
We propose a Bayesian statistical framework for estimating the reproduction number R early in an epidemic. This method allows for the yet-unrecorded secondary cases if the estimate is obtained before the epidemic has ended. We applied our approach to the severe acute respiratory syndrome (SARS) epidemic that started in February 2003 in Hong Kong. T...
Alternative Titles
Full title
Real-time Estimates in Early Detection of SARS
Authors, Artists and Contributors
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_f2b61269bee04eeb83b54d5ccaad956e
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_f2b61269bee04eeb83b54d5ccaad956e
Other Identifiers
ISSN
1080-6040
E-ISSN
1080-6059
DOI
10.3201/eid1201.050593