As an alternative to searching directly for solutions, you can also search for CM gaps and find out which solutions address the gaps you are interested in.
PDF exportFACS - Flu And Coronavirus Simulator
Agent based modelling tool to simulate spread of flu and coronavirus in a local region
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.
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.
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.
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.
Flee - Predictive Modelling Tool
Flee is an agent-based modelling code used to model (forced) migration and other movements across country borders.
Emergency Mapping Tool (EMT)
Easy to use CM Solution for sharing and visualisation of the crisis management information. Faciliates comminication even in multilingual cross-organisational ad-hoc setups
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.
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. |