<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Truyers,C.</style></author><author><style face="normal" font="default" size="100%">Lesaffre,E.</style></author><author><style face="normal" font="default" size="100%">Bartholomeeusen,S.</style></author><author><style face="normal" font="default" size="100%">Aertgeerts,B.</style></author><author><style face="normal" font="default" size="100%">Snacken,R.</style></author><author><style face="normal" font="default" size="100%">Bernard Brochier</style></author><author><style face="normal" font="default" size="100%">Yane,F.</style></author><author><style face="normal" font="default" size="100%">F.J. Buntinx</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Computerized general practice based networks yield comparable performance with sentinel data in monitoring epidemiological time-course of influenza-like illness and acute respiratory illness36889</style></title><secondary-title><style face="normal" font="default" size="100%">BMC.Fam.Pract.</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">a</style></keyword><keyword><style  face="normal" font="default" size="100%">acute</style></keyword><keyword><style  face="normal" font="default" size="100%">article</style></keyword><keyword><style  face="normal" font="default" size="100%">AS</style></keyword><keyword><style  face="normal" font="default" size="100%">Belgium</style></keyword><keyword><style  face="normal" font="default" size="100%">Computer Communication Networks</style></keyword><keyword><style  face="normal" font="default" size="100%">contribution</style></keyword><keyword><style  face="normal" font="default" size="100%">data</style></keyword><keyword><style  face="normal" font="default" size="100%">detection</style></keyword><keyword><style  face="normal" font="default" size="100%">Diagnosis</style></keyword><keyword><style  face="normal" font="default" size="100%">disease</style></keyword><keyword><style  face="normal" font="default" size="100%">Disease Outbreaks</style></keyword><keyword><style  face="normal" font="default" size="100%">Diseases</style></keyword><keyword><style  face="normal" font="default" size="100%">electronic</style></keyword><keyword><style  face="normal" font="default" size="100%">Electronic Mail</style></keyword><keyword><style  face="normal" font="default" size="100%">Environmental Monitoring</style></keyword><keyword><style  face="normal" font="default" size="100%">epidemic</style></keyword><keyword><style  face="normal" font="default" size="100%">Epidemics</style></keyword><keyword><style  face="normal" font="default" size="100%">EPIDEMIOLOGICAL</style></keyword><keyword><style  face="normal" font="default" size="100%">epidemiology</style></keyword><keyword><style  face="normal" font="default" size="100%">Europe</style></keyword><keyword><style  face="normal" font="default" size="100%">European</style></keyword><keyword><style  face="normal" font="default" size="100%">Family Practice</style></keyword><keyword><style  face="normal" font="default" size="100%">Frequency</style></keyword><keyword><style  face="normal" font="default" size="100%">general</style></keyword><keyword><style  face="normal" font="default" size="100%">General practice</style></keyword><keyword><style  face="normal" font="default" size="100%">General-practice</style></keyword><keyword><style  face="normal" font="default" size="100%">health surveys</style></keyword><keyword><style  face="normal" font="default" size="100%">Humans</style></keyword><keyword><style  face="normal" font="default" size="100%">illness</style></keyword><keyword><style  face="normal" font="default" size="100%">illnesses</style></keyword><keyword><style  face="normal" font="default" size="100%">im</style></keyword><keyword><style  face="normal" font="default" size="100%">Increase</style></keyword><keyword><style  face="normal" font="default" size="100%">Increases</style></keyword><keyword><style  face="normal" font="default" size="100%">INFECTION</style></keyword><keyword><style  face="normal" font="default" size="100%">infections</style></keyword><keyword><style  face="normal" font="default" size="100%">INFLUENZA</style></keyword><keyword><style  face="normal" font="default" size="100%">Influenza A Virus,H1N1 Subtype</style></keyword><keyword><style  face="normal" font="default" size="100%">Influenza,Human</style></keyword><keyword><style  face="normal" font="default" size="100%">Instrument</style></keyword><keyword><style  face="normal" font="default" size="100%">instrumentation</style></keyword><keyword><style  face="normal" font="default" size="100%">IS</style></keyword><keyword><style  face="normal" font="default" size="100%">isolation &amp; purification</style></keyword><keyword><style  face="normal" font="default" size="100%">journal</style></keyword><keyword><style  face="normal" font="default" size="100%">method</style></keyword><keyword><style  face="normal" font="default" size="100%">methods</style></keyword><keyword><style  face="normal" font="default" size="100%">Monitoring</style></keyword><keyword><style  face="normal" font="default" size="100%">morbidity</style></keyword><keyword><style  face="normal" font="default" size="100%">Network</style></keyword><keyword><style  face="normal" font="default" size="100%">networks</style></keyword><keyword><style  face="normal" font="default" size="100%">organization &amp; administration</style></keyword><keyword><style  face="normal" font="default" size="100%">outbreak</style></keyword><keyword><style  face="normal" font="default" size="100%">outbreaks</style></keyword><keyword><style  face="normal" font="default" size="100%">performance</style></keyword><keyword><style  face="normal" font="default" size="100%">POPULATION</style></keyword><keyword><style  face="normal" font="default" size="100%">Population Surveillance</style></keyword><keyword><style  face="normal" font="default" size="100%">Practice</style></keyword><keyword><style  face="normal" font="default" size="100%">Public Health Informatics</style></keyword><keyword><style  face="normal" font="default" size="100%">region</style></keyword><keyword><style  face="normal" font="default" size="100%">registration</style></keyword><keyword><style  face="normal" font="default" size="100%">Research</style></keyword><keyword><style  face="normal" font="default" size="100%">Research Support</style></keyword><keyword><style  face="normal" font="default" size="100%">Respiratory</style></keyword><keyword><style  face="normal" font="default" size="100%">Respiratory disease</style></keyword><keyword><style  face="normal" font="default" size="100%">respiratory diseases</style></keyword><keyword><style  face="normal" font="default" size="100%">Respiratory Tract Infections</style></keyword><keyword><style  face="normal" font="default" size="100%">result</style></keyword><keyword><style  face="normal" font="default" size="100%">results</style></keyword><keyword><style  face="normal" font="default" size="100%">Risk Assessment</style></keyword><keyword><style  face="normal" font="default" size="100%">SB - IM</style></keyword><keyword><style  face="normal" font="default" size="100%">Seasons</style></keyword><keyword><style  face="normal" font="default" size="100%">sentinel</style></keyword><keyword><style  face="normal" font="default" size="100%">Sentinel Surveillance</style></keyword><keyword><style  face="normal" font="default" size="100%">Spread</style></keyword><keyword><style  face="normal" font="default" size="100%">statistics &amp; numerical data</style></keyword><keyword><style  face="normal" font="default" size="100%">Surveillance</style></keyword><keyword><style  face="normal" font="default" size="100%">System</style></keyword><keyword><style  face="normal" font="default" size="100%">Systems</style></keyword><keyword><style  face="normal" font="default" size="100%">time</style></keyword><keyword><style  face="normal" font="default" size="100%">trend</style></keyword><keyword><style  face="normal" font="default" size="100%">trends</style></keyword><keyword><style  face="normal" font="default" size="100%">Virus Diseases</style></keyword><keyword><style  face="normal" font="default" size="100%">Yield</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2010</style></year><pub-dates><date><style  face="normal" font="default" size="100%">0/0/2010</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">11</style></volume><pages><style face="normal" font="default" size="100%">24</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">BACKGROUND: Computerized morbidity registration networks might serve as early warning systems in a time where natural epidemics such as the H1N1 flu can easily spread from one region to another. METHODS: In this contribution we examine whether general practice based broad-spectrum computerized morbidity registration networks have the potential to act as a valid surveillance instrument of frequently occurring diseases. We compare general practice based computerized data assessing the frequency of influenza-like illness (ILI) and acute respiratory infections (ARI) with data from a well established case-specific sentinel network, the European Influenza Surveillance Scheme (EISS). The overall frequency and trends of weekly ILI and ARI data are compared using both networks. RESULTS: Detection of influenza-like illness and acute respiratory illness occurs equally fast in EISS and the computerized network. The overall frequency data for ARI are the same for both networks, the overall trends are similar, but the increases and decreases in frequency do not occur in exactly the same weeks. For ILI, the overall rate was slightly higher for the computerized network population, especially before the increase of ILI, the overall trend was almost identical and the increases and decreases occur in the same weeks for both networks. CONCLUSIONS: Computerized morbidity registration networks are a valid tool for monitoring frequent occurring respiratory diseases and the detection of sudden outbreaks</style></abstract><custom1><style face="normal" font="default" size="100%">38404</style></custom1><section><style face="normal" font="default" size="100%">24</style></section></record></records></xml>