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Influenza epidemic surveillance and prediction based on electronic health record data from an out-of-hours general practitioner cooperative: model development and validation on 2003-2015 data.
Michiels, Barbara Nguyen, Van Kinh Coenen, Samuel Ryckebosch, Philippe Bossuyt, Nathalie Hens, Niel
Michiels, Barbara
Nguyen, Van Kinh
Coenen, Samuel
Ryckebosch, Philippe
Bossuyt, Nathalie
Hens, Niel
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2017-01-18
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Abstract
Annual influenza epidemics significantly burden health care. Anticipating them allows for timely preparation. The Scientific Institute of Public Health in Belgium (WIV-ISP) monitors the incidence of influenza and influenza-like illnesses (ILIs) and reports on a weekly basis. General practitioners working in out-of-hour cooperatives (OOH GPCs) register diagnoses of ILIs in an instantly accessible electronic health record (EHR) system. This article has two objectives: to explore the possibility of modelling seasonal influenza epidemics using EHR ILI data from the OOH GPC Deurne-Borgerhout, Belgium, and to attempt to develop a model accurately predicting new epidemics to complement the national influenza surveillance by WIV-ISP.
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Influenza epidemic surveillance and prediction based on electronic health record data from an out-of-hours general practitioner cooperative: model development and validation on 2003-2015 data. 2017, 17 (1):84 BMC Infect. Dis.
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en
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1471-2334