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Updated: Sep 9, 2025

High-throughput Detection Method for Influenza Virus
Published on: February 4, 2012
An evaluation of a Bayesian method to track outbreaks of known and novel influenza-like illnesses
John M Aronis1, Ye Ye1,2, Jessi Espino1
1Department of Biomedical Informatics, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Abstract:
Tracking known influenza-like illnesses, such as influenza, is an important problem in public health and clinical medicine. The problem is complicated by the clinical similarity and co-occurrence of many of these illnesses. Additionally, detecting a new or reemergent disease, such as COVID-19, is of paramount importance as recent history has shown. This paper describes the testing of a system that tracks known influenza-like illnesses and can detect the presence of a novel disease.
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An illness is a response to a disease in which the person's level of functioning is changed compared with a previous level. The general classification of illness includes acute and chronic.
Acute illness is severe...

