Influenzanet is a system to monitor the activity of influenza-like-illness (ILI) with the aid of volunteers via the internet

http://www.influenzanet.eu/

Epiwork Logo
Developing the framework for an epidemic forecast infrastructure.
http://www.epiwork.eu/

The Seventh Framework Programme (FP7) bundles all research-related EU initiatives.

7th Framework Logo
Participating countries and volunteers:

The Netherlands 0
Belgium 0
Portugal 1737
Italy 4291
Great Britain 4128
Sweden 0
Germany 181
Austria 489
Switzerland 671
France 6236
Spain 996
Ireland 295
InfluenzaNet is a system to monitor the activity of influenza-like-illness (ILI) with the aid of volunteers via the internet. It has been operational in The Netherlands and Belgium (since 2003), Portugal (since 2005) and Italy (since 2008), and the current objective is to implement InfluenzaNet in more European countries.

In contrast with the traditional system of sentinel networks of mainly primary care physicians coordinated by the European Influenza Surveillance Scheme (EISS), InfluenzaNet obtains its data directly from the population. This creates a fast and flexible monitoring system whose uniformity allows for direct comparison of ILI rates between countries.

Any resident of a country where InfluenzaNet is implemented can participate by completing an online application form, which contains various medical, geographic and behavioural questions. Participants are reminded weekly to report any symptoms they have experienced since their last visit. The incidence of ILI is determined on the basis of a uniform case definition.

Hide this information

Bases de dados

As bases de dados anonimizadas destinam-se a ser utilizadas por cientistas e técnicos, para os seus projetos de investigação. É uma iniciativa inédita no panorama da saúde pública portuguesa, fomentando a partilha de dados reais. O acesso livre e direto aos dados recolhidos e validados é essencial para aumentar o conhecimento científico.

Os dados disponíveis são os dados analisados em tempo real. Estes dados podem não ser iguais aos dados publicados nos artigos científicos, nos quais os dados terão passado por métodos rigorosos de filtragem.