Ann Christin Vietor, data scientist from Robert Koch Institute (RKI), gave a talk about the “Collaborative development of a framework for automated signal detection for infectious disease outbreaks“ on the 3rd (Inter)national Conference on Modelling Infectious Diseases in Berlin. The talk focused on the Signal Detection Tool, developed in collaboration with data scientists from AGES (Austria), THL (Finland), and SSI (Denmark) as part of WP 2.2 in United4Surveillance. The presentation demonstrated how a diverse set of existing and newly developed signal detection methods can be made accessible and practically applied by public health professionals.
The symposium featured four presentations showcasing the application of modeling methods in public health, followed by a discussion moderated by Dr. Alexander Ullrich (RKI). The discussion focused on the question how the collaboration between research and public health can be strengthened and what is needed to facilitate this partnership.
The conference was organised by the ‘Modelling Network for Serious Infectious Diseases’ (MONID, https://monid.net/), which is a research network funded by the German Federal Ministry of Education and Research (BMBF) since May 2022. The network’s focus is on strengthening the interdisciplinary exchange between scientists and public health institutions such as the RKI, as well as on promoting young scientists.
