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		<title>Pesquisa | Influenza A (H1N1): id:mdl-21668678</title>
		<link>http://pesquisa.bvsalud.org:80/h1n1/index.php</link>
		<description>A Biblioteca Virtual em Saúde é visualizada como a base distribuída do conhecimento científico e técnico em saúde registrado, organizado e armazenado em formato eletrônico nos países da Região, acessíveis de forma universal na Internet de modo compatível com as bases internacionais. </description>

				
					
					
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				<title>Attempted early detection of influenza A (H1N1) pandemic with surveillance data of influenza-like illness and unexplained pneumonia.</title>
				<author><![CDATA[Qian YH; Su J; Shi P; He EQ; Shao J; Sun N; Zu RQ; Yu RB]]></author>

									<link>http://dx.doi.org/10.1111/j.1750-2659.2011.00248.x</link>				
							    
			    
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                 <![CDATA[
                 		MEDLINE	
                     Autor(es): Qian YH; Su J; Shi P; He EQ; Shao J; Sun N; Zu RQ; Yu RB
                     <p>Fonte: Influenza Other Respi Viruses;5(6): e479-86, 2011 Nov. </p>
                                              <p>BACKGROUND: To collect disease information and provide data for early detection of epidemics, two surveillance systems were established for influenza-like illness (ILI) and unexplained pneumonia (UP) in Wuxi, People's Republic of China. OBJECTIVES: The current study aims to describe the performance of these surveillance systems during 2004-2009 and to evaluate the value of surveillance data in detection of influenza epidemics. METHODS: Two national ILI sentinel hospitals and three UP sentinel hospitals provided data to the surveillance systems. The surveillance data from hospital-based outpatient clinics and emergency rooms were compared by year. The ILI data of 2009 were further modeled based on previous data using both a control chart method and a moving average regression method. Alarms of potential epidemics would be raised when the input surveillance data surpassed a threshold. RESULTS: In 2009, the proportions of ILI and respiratory illness with fever (one surveillance syndrome of the UP system) to total patient visits (3·40% and 11·76%, respectively) were higher than the previous years. The surveillance data of both systems also showed developing trends similar to the influenza A (H1N1) pandemic in 2009. When the surveillance data of 2009 were fitted in the two detection models, alarms were produced on the occurrence of the first local case of influenza A (H1N1), outbreaks in schools and in general populations. CONCLUSIONS: The results indicated the potential for using ILI and UP surveillance data as syndromic indicators to detect and provide an early warning for influenza epidemics.</p>
                                          <p>
                         Assunto(s):
                         Influenza Humana/diagnóstico; Influenza Humana/epidemiologia; Pandemias; Pneumonia/diagnóstico; Pneumonia/epidemiologia; Vigilância da População/métodos; China/epidemiologia; Diagnóstico Precoce; Humanos; Vírus da Influenza A Subtipo H1N1/isolamento &amp; purificação; Vírus da Influenza A Subtipo H1N1/fisiologia; Influenza Humana/virologia; Pneumonia/virologia; Vigilância de Evento Sentinela
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