Molecular biological analysis of dynamic interactions between influenza viruses and host cells : host cell proteomes and viral replication dynamics

Magdeburg, Univ., Fak. für Verfahrens- und Systemtechnik, Diss., 2011

Mathematische Modellierung von Influenza Virus Replikation in Säugerzellen

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

Downstream processing of influenza whole-virions for vaccine production

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

Etablierung und Anwendung einer analytischen Methode zur Untersuchung der N-Glykosylierung des Influenza-Virus Hämagglutinin

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

Impact of cultivation conditions on N-glycosylation of influenza A virus hemagglutinin, on quasispecies composition, and on immunogenicity of virus preparations

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

Characterization of the avian designer cells AGE1.CR and AGE1.CR.plX considering growth, metabolism and production of influenza virus and Modified Vaccinia Virus Ankara (MVA)

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

Mathematical models of influenza A virus infection : from intracellular replication to virus growth in cell populations

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

Population balance modeling of influenza A virus replication in MDCK cells during vaccine production

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

Reações entre caolim, virus de influenza suína e inibidor de clara de ôvo da hemoaglutinação de vírus

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.

Influenza surveillance using data from a telemedicine centre.

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.

The feasibility of forecasting influenza epidemics in Cuba

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.

The use of classification and regression trees to predict the likelihood of seasonal influenza.

Background Individual signs and symptoms are of limited value for the diagnosis of influenza. Objective To develop a decision tree for the diagnosis of influenza based on a classification and regression tree (CART) analysis. Methods Data from two previous similar cohort studies were assembled into a single dataset. The data were randomly divided into a development set (70%) and a validation set (30%). We used CART analysis to develop three models that maximize the number of patients who do not require diagnostic testing prior to treatment decisions. The validation set was used to evaluate overfitting of the model to the training set. Results Model 1 has seven terminal nodes based on temperature, the onset of symptoms and the presence of chills, cough and myalgia. Model 2 was a simpler tree with only two splits based on temperature and the presence of chills. Model 3 was developed with temperature as a dichotomous variable (≥38°C) and had only two splits based on the presence of fever and myalgia. The area under the receiver operating characteristic curves (AUROCC) for the development and validation sets, respectively, were 0.82 and 0.80 for Model 1, 0.75 and 0.76 for Model 2 and 0.76 and 0.77 for Model 3. Model 2 classified 67% of patients in the validation group into a high- or low-risk group compared with only 38% for Model 1 and 54% for Model 3. Conclusions A simple decision tree (Model 2) classified two-thirds of patients as low or high risk and had an AUROCC of 0.76. After further validation in an independent population, this CART model could support clinical decision making regarding influenza, with low-risk patients requiring no further evaluation for influenza and high-risk patients being candidates for empiric symptomatic or drug therapy.

How critical is timing for the diagnosis of influenza in general practice?

Résumé La performance diagnostic des signes et symptômes de la grippe a principalement été étudiée dans le cadre d'études contrôlées avec des critères d'inclusion stricts. Il apparaît nécessaire d'évaluer ces prédicteurs dans le cadre d'une consultation ambulatoire habituelle en tenant compte du délai écoulé entre le début des symptômes et la première consultation ainsi que la situation épidémiologique. Cette étude prospective a été menée à la Policlinique Médicale Universitaire durant l'hiver 1999-2000. Les patients étaient inclus s'ils présentaient un syndrome grippal et si le praticien suspectait une infection à Influenza. Le médecin administrait un questionnaire puis une culture d'un frottis de gorge était réalisée afin de documenter l'infection. 201 patients ont été inclus dans l'étude. 52% avaient une culture positive pour Influenza. En analyse univariée, une température > 37.8° (OR 4.2; 95% CI 2.3-7.7), une durée des symptômes < 48h (OR 3.2; 1.8-5.7), une toux (OR 3.2; 1-10.4) et des myalgies (OR 2.8; 1.0-7.5) étaient associés au diagnostic de grippe. En analyse de régression logistique, le modèle le plus performant qui prédisait la grippe était l'association d'une durée des symptômes <48h, une consultation en début d'épidémie, une température > 37.8° et une toux (sensibilité 79%, spécificité 69%, valeur prédictive positive 67%, une valeur prédictive négative de 73% et aire sous la courbe (ROC) de 0.74). En plus des signes et symptômes prédicteurs de la grippe, le médecin de premier recours devrait prendre en compte dans son jugement la durée des symptômes avant la première consultation et le contexte épidémiologique (début, pic, fin de l'épidémie), car ces deux paramètres modifient considérablement la valeurs des prédicteurs lors de l'évaluation de la probabilité clinique d'un patient d'avoir une infection à Influenza.