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

dc.contributor.author	Michiels, Barbara
dc.contributor.author	Nguyen, Van Kinh
dc.contributor.author	Coenen, Samuel
dc.contributor.author	Ryckebosch, Philippe
dc.contributor.author	Bossuyt, Nathalie
dc.contributor.author	Hens, Niel
dc.date.accessioned	2017-06-19T13:56:25Z
dc.date.available	2017-06-19T13:56:25Z
dc.date.issued	2017-01-18
dc.identifier.citation	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.	en
dc.identifier.issn	1471-2334
dc.identifier.pmid	28100186
dc.identifier.doi	10.1186/s12879-016-2175-x
dc.identifier.uri	http://hdl.handle.net/10033/620960
dc.description.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.
dc.language.iso	en	en
dc.rights.uri	http://creativecommons.org/licenses/by-nc-sa/4.0/	*
dc.title	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.	en
dc.type	Article	en
dc.contributor.department	BRICS - Braunschweig Integrated Centre of Systems Biology, Rebenring 56. 38106 Braunschweig, Germany.	en
dc.identifier.journal	BMC infectious diseases	en
refterms.dateFOA	2018-06-12T22:51:59Z
html.description.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.