882 resultados para Influenza viruses


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Virus dynamics, mathematical modeling, influenza virus, mammalian cells, vaccines, antiviral strategies

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Magdeburg, Univ., Fak. für Verfahrens- und Systemtechnik, Diss., 2009

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Magdeburg, Univ., Fak. für Verfahrens- und Systemtechnik, Diss., 2013

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Magdeburg, Univ., Fak. für Verfahrens- und Systemtechnik, Diss., 2014

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Magdeburg, Univ., Fak. für Verfahrens- und Systemtechnik, Diss., 2015

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Magdeburg, Univ., Fak. für Elektrotechnik und Informationstechnik, Diss., 2015

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O caolim adsorve a atividade inibitória mais ràpidamente que o nitrogênio total da clara de ôvo bruta e menos ràpidamente que o nitrogênio total das preparações semipurificadas de inibidor. A adsorção do inibidor é reversível. O tratamento de preparações semipurificadas pelo vírus ativo da influenza suína causa um ligeiro aumento da adsorção da atividade e do nitrogênio total. O vírus ativo combina-se no frigorífico com o caolim que adsorveu o inibidor e pode ser em grande parte recuperado à temperatura ambiente. Uma quantidade menor de vírus é fixada pelo caolim não tratado. O aquecimento do vírus durante 30 minutos a 53°C aumenta sua adorção pelo caolim.

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OBJECTIVES: This study aimed at investigating whether data from medical teleconsultations may contribute to influenza surveillance. METHODS: International Classification of Primary Care 2nd Edition (ICPC-2) codes were used to analyse the proportion of teleconsultations due to influenza-related symptoms. Results were compared with the weekly Swiss Sentinel reports. RESULTS: When using the ICPC-2 code for fever we could reproduce the seasonal influenza peaks of the winter seasons 07/08, 08/09 and 09/10 as depicted by the Sentinel data. For the pandemic influenza 09/10, we detected a much higher first peak in summer 2009 which correlated with a potential underreporting in the Sentinel system. CONCLUSIONS: ICPC-2 data from medical teleconsultations allows influenza surveillance in real time and correlates very well with the Swiss Sentinel system.

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A large influenza epidemic took place in Havana during the winter of 1988. The epidemiologic surveillance unit of the Pedro Kouri Institute of Tropical Medicine detected the begining of the epidemic wave. The Rvachev-Baroyan mathematical model of the geographic spread of an epidemic was used to forecast this epidemic under routine conditions of the public health system. The expected number of individuals who would attend outpatient services, because of influenza-like illness, was calculated and communicated to the health authorities within enough time to permit the introduction of available control measures. The approximate date of the epidemic peak, the daily expected number of individuals attending medical services, and the approximate time of the end of the epidemic wave were estimated. The prediction error was 12%. The model was sufficienty accurate to warrant its use as a pratical forecasting tool in the Cuban public health system.

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Mosquito cell cultures infected with human sera from dengue-1 and dengue-2 outbreaks, started in Rio de Janeiro by 1986 and 1990 respectively, were examined by electron microscopy at different times post the infection of cell cultures. More information was obtained about cell penetration of virus particles in the presence or not of antibodies, their pathway inside the cells, replication mode and exit. Infectiveness of the virus at those different stages can only be attributed to the particles appearing inside the trans-Golgi vesicles; most of all newly formed virus particles remain inside the RER-derived cell vesicles or inside lysosomes, even during cell lysis. Groups of larges particles, 65-75 nm in diameter at dengue-2 infections, persist during cell passage. The large amounts of smooth membrane structures, as vesicles or tabules inside the RER are attributed to a cell response to viral infection.