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.

2.50
Hdl Handle:
http://hdl.handle.net/10033/620960
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.
Authors:
Michiels, Barbara; Nguyen, Van Kinh; Coenen, Samuel; Ryckebosch, Philippe; Bossuyt, Nathalie; Hens, Niel
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.
Affiliation:
BRICS - Braunschweig Integrated Centre of Systems Biology, Rebenring 56. 38106 Braunschweig, Germany.
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.
Journal:
BMC infectious diseases
Issue Date:
18-Jan-2017
URI:
http://hdl.handle.net/10033/620960
DOI:
10.1186/s12879-016-2175-x
PubMed ID:
28100186
Type:
Article
Language:
en
ISSN:
1471-2334
Appears in Collections:
publications of the research group systems medicine of infections([BRICS]SMID)

Full metadata record

DC FieldValue Language
dc.contributor.authorMichiels, Barbaraen
dc.contributor.authorNguyen, Van Kinhen
dc.contributor.authorCoenen, Samuelen
dc.contributor.authorRyckebosch, Philippeen
dc.contributor.authorBossuyt, Nathalieen
dc.contributor.authorHens, Nielen
dc.date.accessioned2017-06-19T13:56:25Z-
dc.date.available2017-06-19T13:56:25Z-
dc.date.issued2017-01-18-
dc.identifier.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.en
dc.identifier.issn1471-2334-
dc.identifier.pmid28100186-
dc.identifier.doi10.1186/s12879-016-2175-x-
dc.identifier.urihttp://hdl.handle.net/10033/620960-
dc.description.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.en
dc.language.isoenen
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/*
dc.titleInfluenza 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.typeArticleen
dc.contributor.departmentBRICS - Braunschweig Integrated Centre of Systems Biology, Rebenring 56. 38106 Braunschweig, Germany.en
dc.identifier.journalBMC infectious diseasesen

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