Using Bayes' Rule to Define the Value of Evidence from Syndromic Surveillance
Using Bayes' Rule to Define the Value of Evidence from Syndromic Surveillance
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United States: Public Library of Science
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Language
English
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United States: Public Library of Science
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Contents
In this work we propose the adoption of a statistical framework used in the evaluation of forensic evidence as a tool for evaluating and presenting circumstantial "evidence" of a disease outbreak from syndromic surveillance. The basic idea is to exploit the predicted distributions of reported cases to calculate the ratio of the likelihood of observ...
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Full title
Using Bayes' Rule to Define the Value of Evidence from Syndromic Surveillance
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TN_cdi_plos_journals_1619502489
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_1619502489
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ISSN
1932-6203
E-ISSN
1932-6203
DOI
10.1371/journal.pone.0111335
