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Evacuation & Repatriation Management Platform
Evacuation and Repatriation Management Platform (EMP)
Airborne and Terrestrial Situational Awareness
The solution “Airborne and Terrestrial Situational Awareness” is composed of several individual components and tools, which are integrated into a complete system, ready to be deployed in different scenarios. The systems can also be used in combination.
Data Management & Harmonization Tool (DMHT)
DMHT is a technological platform for aggregating heterogeneous, mostly curated, and structured anonymized historical health and other relevant data sets and their annotations from health stakeholders, as well as open data sets.
Web and Social Media Analytics (WSMA)
Tool for crawling, monitoring and processing of web and social media content and users activity
SmarKo Wearable Monitoring Tool
SmarKo, a smart wearble sensor device, that enables remote real time monitoring of health, environmental and physical activity data as well as geolocation and can transmit the measurement data to a mobile app.
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.
Portable PCR device for on site detection of bacteria
CHARM dynamiC Hospital wARd Management
dynamiC Hospital wARd Management (CHARM) is a discrete-event simulation (DES) that models dynamic reconfiguration of hospital wards for bed capacity planning facilitating continuation of normal Intensive Care Unit (ICU) operations during disease outbreaks.
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.
The Rumor Debunker offers a solution for internet news analytics. It is developed to counteract mis- or disinformation campaigns.
|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.|