Publication

grippeNET App: Enhancing participatory Influenza monitoring through mobile phone sensors

Marco Hirsch, Olivia Woolley-Meza, Daniela Paolotti, Antoine Flahault, Paul Lukowicz

In: Adjunct Proceedings of the 2018 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2018 ACM International Symposium on Wearable Computers. International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp-2018) October 9-11 Singapore Singapore ACM 2018.

Abstract

We describe the vision, implementation and initial deployment experience with an App based crowd sourcing system for the analysis and prediction of the influence of aggregated individual behaviour patterns on the spread of infectious diseases. The App builds on InfluenzaNet, a well established European participatory network of self report- ing web platforms for monitoring Influeza-Like-Ilnesses (ILI) and goes starting from the current practice of explicit self reporting towards the use of sensor derived behaviour information. The App has been cleared with the Regional Research Ethics Committee (CCER) in Geneva, Switzerland and was test deployed through the Google Play Store in Switzerland during last year’s influenza season. It is currently being prepared for a broader European deployment.

Projekte

Hirsch2018_grippenet.pdf (pdf, 474 KB)

German Research Center for Artificial Intelligence
Deutsches Forschungszentrum für Künstliche Intelligenz