Visual Analytics for Infection Contagion, Tatiana von Landesberger

Activity: Participating in or organising an eventOrganising a conference, workshop, ...

Description

Disease spreading (also called infection contagion) is an acute problem. Corona pandemic is one example of the worldwide consequences of infection contagion. In addition to viruses, multi-resistant pathogens are an acute problem in hospitals. These pathogens are transmitted among patients. They are a threat for patients’ health and increase treatment costs. Infection control experts need to analyse how has disease spread, who was the initial patient, they need to identify potentially infected patients and predict how the disease could spread in the future. This talk will present visual analytics approaches to answer these questions. These approaches have been developed and evaluated in cooperation with infection control experts in a long-term project HiGHmed and recent COVID-19 project B-FAST.
Period14 Dec 2021
Event typeGuest talk
LocationAustriaShow on map

Fields of science

  • 102008 Computer graphics
  • 102 Computer Sciences
  • 102020 Medical informatics
  • 103021 Optics
  • 102015 Information systems
  • 102003 Image processing

JKU Focus areas

  • Digital Transformation