Search results - 8 results

Real-time prediction of influenza outbreaks in Belgium.

dynamics of other influenza seasons. In order to validate the proposed approach, we used data collected by the Belgian SGP s for the influenza seasons 2010-2016. In spite of the great variability among ...

Co-circulation of influenza A(H1N1)pdm09 and influenza A(H3N2) viruses, World Health Organization (WHO) European Region, October 2018 to February 2019.

viruses circulated widely and detection levels in primary care and hospital settings were similar to past seasons. Hospitalisation data may suggest an increased susceptibility to A(H1N1)pdm09 virus in older ...

Survey on the Use of Whole-Genome Sequencing for Infectious Diseases Surveillance: Rapid Expansion of European National Capacities, 2015-2016.

of funding, staff, and expertise. Illumina technology was the most frequently used followed by Ion Torrent technology. The access to bioinformatics expertise and competence for routine WGS data ...

Non coding extremities of the seven influenza virus type C vRNA segments: effect on transcription and replication by the type C and type A polymerase complexes.

Replication Influenzavirus C Molecular Sequence Data Nucleoproteins RNA Replicase RNA, Viral Templates, Genetic Transcription, Genetic Untranslated Regions Viral Proteins Abstract: BACKGROUND: The ...

The impact of regular school closure on seasonal influenza epidemics: a data-driven spatial transmission model for Belgium.

parameterized with country-specific data on social mixing and travel, and calibrated to the 2008/2009 influenza season. It includes behavioral changes occurring during weekend vs. weekday, and holiday vs. ...

A general approach to identify low-frequency variants within influenza samples collected during routine surveillance.

value of LFV for routine influenza monitoring, potential associations between patient data and whole genome sequencing data were investigated. A significant association was found between a high prevalence ...

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