A Bayesian System to Detect and Track Outbreaks of Influenza-Like Illnesses Including Novel Diseases: Algorithm Development and Validation
Background The early identification of outbreaks of both known and novel influenza-like illnesses (ILIs) is an important public health problem. Objective This study aimed to describe the design and testing of a tool that detects and tracks outbreaks of both known and novel ILIs, such as the SARS-CoV...
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Main Authors: | , , , , , |
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Format: | Book |
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JMIR Publications,
2024-08-01T00:00:00Z.
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Online Access: | Connect to this object online. |
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Internet
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Call Number: |
A1234.567 |
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Copy 1 | Available |