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.
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Nguyen, Van Kinh
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AbstractAnnual 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.
CitationInfluenza 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.
AffiliationBRICS - Braunschweig Integrated Centre of Systems Biology, Rebenring 56. 38106 Braunschweig, Germany.
JournalBMC infectious diseases
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Except where otherwise noted, this item's license is described as http://creativecommons.org/licenses/by-nc-sa/4.0/
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