title: [Detection of local influenza outbreaks and role of virological diagnostics].
abstract: For many years, the Working Group on Influenza (AGI) has been the most important influenza surveillance system in Germany. An average sample of the population is covered by both syndromic and virological surveillance, which provides timely data regarding the onset and course of the influenza wave as well as its burden of disease. However, smaller influenza outbreaks cannot be detected by the AGI sentinel system. This is achieved by the information reported by the mandatory notification system (Protection Against Infection Act, IfSG), which serves as the second pillar of the national influenza surveillance. Approaches to recognize such outbreaks are based either on reported influenza virus detection and subsequent investigations by local health authorities or by notification of an accumulation of respiratory diseases or nosocomial infections and subsequent laboratory investigations. In this context, virological diagnostics plays an essential role. This has been true particularly for the early phase of the 2009 pandemic, but generally timely diagnostics is essential for the identification of outbreaks. Regarding potential future outbreaks, it is also important to keep an eye on animal influenza viruses that have repeatedly infected humans. This mainly concerns avian influenza viruses of the subtypes H5, H7, and H9 as well as porcine influenza viruses for which a specific PCR has been established at the National Influenza Reference Centre. An increased incidence of respiratory infections, both during and outside the season, should always encourage virological laboratory diagnostics to be performed as a prerequisite of further extensive investigations and an optimal outbreak management.
authors.affiliation: Fachgebiet Influenza und respiratorische Infektionen, Robert Koch-Institut, Nordufer 20, 13353, Berlin, Deutschland. SchweigerB@rki.de
authors.forename: B
authors.initials: B
authors.lastname: Schweiger
authors.forename: S
authors.initials: S
authors.lastname: Buda
mesh_terms: D018563:Disease Notification / Q000379:methods*; D004196:Disease Outbreaks / Q000517:prevention & control / Q000706:statistics & numerical data*; D005858:Germany / Q000453:epidemiology; D006801:Humans; D007251:Influenza, Human / Q000175:diagnosis* / Q000453:epidemiology* / Q000517:prevention & control / Q000821:virology; D019221:Mandatory Reporting; D011159:Population Surveillance / Q000379:methods*; D014773:Virology / Q000379:methods*