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FACS - Flu And Coronavirus Simulator

Agent based modelling tool to simulate spread of flu and coronavirus in a local region
FACS - Flu And Coronavirus Simulator
XVR Crisis Media in use in an emergency management exercise

XVR Crisis Media

With XVR Crisis Media you can train how to manage and monitor communication from news media, social media and internal communication sources in a crisis situation.
XVR Crisis Media
AIR Worldwide

AIR's Life and Health Models

AIR models help to anticipate the drivers of mortality and morbidity risk to facilitate optimal risk management, risk transfer, and risk mitigation decisions that align with organisation's strategic goals.
AIR's Life and Health Models
EWS main components

ML-Based Early Warning System

ML-Based Early Warning System is responsible to provide the necessary notifications (warnings and/or alerts) to the end users in case of potential outbreaks taking into consideration certain rules and patterns based on Machine Learning models. Support users in order to identify needs on material resources, while assist authorities to monitor and validate the effectiveness of policies and measures that are applied.
ML-Based Early Warning System
AIR models architecture (both Single Task Learning and Multi-Task Learning)

Antimicrobial Resistance Model (AIR)

AIR is a Deep Neural Network (DNN) model used for predicting the excess mortality due to antimicrobial resistance. Additionally, it incorporates patient’s contextual epidemiological and infectious information.
Antimicrobial Resistance Model (AIR)
WN cycle

BIMS_WN West Nile epidemics model. 

The BIMS_WN model is a muti-agent model whose goal is to predict the occurrence of a WN epidemic using climate and bird migration and movement data.
BIMS_WN West Nile epidemics model. 
GLEAMviz logo

Global Epidemic and Mobility simulator (GLEAM)

The Global Epidemic and Mobility simulator (GLEAM) is a realistic simulator of infectious disease spreading and pandemic outbreaks, based on a stochastic metapopulation model that uses real-world data about census and mobility.
Global Epidemic and Mobility simulator (GLEAM)
eu Portfolio of Solutions web site has been initially developed in the scope of DRIVER+ project. Today, the service is managed by AIT Austrian Institute of Technology GmbH., for the benefit of the European Management. PoS is endorsed and supported by the Disaster Competence Network Austria (DCNA) as well as by the STAMINA and TeamAware H2020 projects.