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Online monitoring of flu in Belgium

Please cite this paper as: Devroey et al. (2011) Online monitoring of flu in Belgium. Influenza and Other Respiratory Viruses 5(5), 351–356. Background  The diagnosis and treatment of patients with the A(H1N1) pandemic flu caused some serious burden for general practitioners (GPs) in the summer and...

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Autores principales: Devroey, Dirk, Semaille, Pascal, Vansintejan, Johan, Vandevoorde, Jan, Van De Vijver, Erwin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Blackwell Publishing Ltd 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4942047/
https://www.ncbi.nlm.nih.gov/pubmed/21668686
http://dx.doi.org/10.1111/j.1750-2659.2011.00239.x
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author Devroey, Dirk
Semaille, Pascal
Vansintejan, Johan
Vandevoorde, Jan
Van De Vijver, Erwin
author_facet Devroey, Dirk
Semaille, Pascal
Vansintejan, Johan
Vandevoorde, Jan
Van De Vijver, Erwin
author_sort Devroey, Dirk
collection PubMed
description Please cite this paper as: Devroey et al. (2011) Online monitoring of flu in Belgium. Influenza and Other Respiratory Viruses 5(5), 351–356. Background  The diagnosis and treatment of patients with the A(H1N1) pandemic flu caused some serious burden for general practitioners (GPs) in the summer and autumn of 2009. Objective  The aim of this study was to track the incidence of influenza and influenza‐like illness (ILI) in Belgium and to describe the characteristics of the affected patients. Methods  In July 2009, the Belgian online influenza surveillance system (BOISS) was set up to monitor the spread of influenza and ILI. Registrations were made by 93 GPs from all 10 Belgian provinces who participated at least 1 week during the first 12 months of the registration. Only patients who met the WHO criteria for flu were recorded. Results  In total, 1254 patients (53% men) with influenza or ILI were included. Mainly younger persons were affected: 43% was under the age of 20 years. A risk factor for influenza‐related complications was determined in 19% of cases, mainly patients with chronic respiratory problems. A treatment with oseltamivir or zanamivir was prescribed in 13%, and 3% of the patients was admitted to a hospital. The time of the peak incidence (44th week) and the magnitude (623 cases per week per 100 000 inhabitants) corresponded with the figures of the existing paper‐based registration network. The small sample size and possible reporting biases may have influenced the findings of the study. Conclusions  The BOISS provides a good alternative to conduct surveillance activities for influenza and ILI in Belgium. It provides complementary information regarding ILI compared to the existing data capturing.
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spelling pubmed-49420472016-07-20 Online monitoring of flu in Belgium Devroey, Dirk Semaille, Pascal Vansintejan, Johan Vandevoorde, Jan Van De Vijver, Erwin Influenza Other Respir Viruses Original Articles Please cite this paper as: Devroey et al. (2011) Online monitoring of flu in Belgium. Influenza and Other Respiratory Viruses 5(5), 351–356. Background  The diagnosis and treatment of patients with the A(H1N1) pandemic flu caused some serious burden for general practitioners (GPs) in the summer and autumn of 2009. Objective  The aim of this study was to track the incidence of influenza and influenza‐like illness (ILI) in Belgium and to describe the characteristics of the affected patients. Methods  In July 2009, the Belgian online influenza surveillance system (BOISS) was set up to monitor the spread of influenza and ILI. Registrations were made by 93 GPs from all 10 Belgian provinces who participated at least 1 week during the first 12 months of the registration. Only patients who met the WHO criteria for flu were recorded. Results  In total, 1254 patients (53% men) with influenza or ILI were included. Mainly younger persons were affected: 43% was under the age of 20 years. A risk factor for influenza‐related complications was determined in 19% of cases, mainly patients with chronic respiratory problems. A treatment with oseltamivir or zanamivir was prescribed in 13%, and 3% of the patients was admitted to a hospital. The time of the peak incidence (44th week) and the magnitude (623 cases per week per 100 000 inhabitants) corresponded with the figures of the existing paper‐based registration network. The small sample size and possible reporting biases may have influenced the findings of the study. Conclusions  The BOISS provides a good alternative to conduct surveillance activities for influenza and ILI in Belgium. It provides complementary information regarding ILI compared to the existing data capturing. Blackwell Publishing Ltd 2011-03-07 2011-09 /pmc/articles/PMC4942047/ /pubmed/21668686 http://dx.doi.org/10.1111/j.1750-2659.2011.00239.x Text en © 2011 Blackwell Publishing Ltd
spellingShingle Original Articles
Devroey, Dirk
Semaille, Pascal
Vansintejan, Johan
Vandevoorde, Jan
Van De Vijver, Erwin
Online monitoring of flu in Belgium
title Online monitoring of flu in Belgium
title_full Online monitoring of flu in Belgium
title_fullStr Online monitoring of flu in Belgium
title_full_unstemmed Online monitoring of flu in Belgium
title_short Online monitoring of flu in Belgium
title_sort online monitoring of flu in belgium
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4942047/
https://www.ncbi.nlm.nih.gov/pubmed/21668686
http://dx.doi.org/10.1111/j.1750-2659.2011.00239.x
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