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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.
mHero

mHero

a two-way, mobile phone-based communication system that uses basic text messaging, or SMS, to connect ministries of health and health workers. mHero operates on simple talk-and-text mobile devices—no smartphone or tablet required.
PALMS GUI

Physical Activity Lifelong Modelling & Simulation (PALMS) model

The Physical Activity Lifelong Modelling & Simulation (PALMS) model is an agent-based micro-simulation that predicts the lifelong physical activity behaviour of individuals of a population and its effect on their quality of life.
Portable PCR device for on site detection of pathogens

ESBL detect

Portable PCR device for on site detection of bacteria
CHARM model

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.
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.
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.
The Information Protection and Secure Data Sharing Tool Architecture

Information Protection and Secure Data Sharing Blockchain Tool

An access control policy management framework implemented by capitalizing on the Blockchain technology
Illustration of the HybridDetect DipStick result obtained for SARS-CoV-2. In a negative sample only the control line is visual. In a positive sample both the control and specifically the test line will become visible. A positive sample can thus result in a Dipstick result that shows 2 lines (control and test line, see illustration) or one line (only the test line).

SARS-Cov-2 and Escherichia coli (E. coli) ESBL detection with SHERLOCK/DETECTR

Rapid detection of SARS-Cov-2 and E. coli (ESBL) via the utilisation of a portable SHERLOCK/DETECTR approach.
GUI

Preparedness for Decision Making in Crisis

PROCeed is a computer system which prepares its users for proper decision-making in crisis situations.
Forest Fire/Wildfire have specific requirements on the Disaster Management Solutions

ARGUS Fire

Forest Fire/Wildfire management solution based on aerial multi-sensorsystem, data processing and resources management
Water-Gate© in action to contain a stormy river

Emergency flood protection for cities | Water-Gate© Flexible dams

Prevent flooding in all circumstances. Water-Gate© is a flexible emergency flood dam that harnesses the power of floodwater or firewater to automatically fill, unfold and stabilise itself.
other

Debris Tool

The Debris Tool is a software based solution designed to amalgamate various defined inputs from the field, historic survey data and other sources, for the prediction and modelling of waste and debris removal options in a post-crisis environment.
Gare du Nord - Evacuation

SE-Star : THALES Crowd Simulation

Since 2008, inside Data Science & Artificial Intelligence Labs of THALES, a Crowd Simulation engine, called SE-Star, has been designed. It is a life simulator managing: internal variables, motivations & emotions, stimuli, personality and behaviors.
project infographic

I-REACT

Due to climate change, floods, wildfires and other extreme weather events are becoming more frequent and intense. This scenario poses a challenge for current risk management systems.
Information elements to analyse Disasters

EPISECC Inventory

The EPISECC Inventory is designed for the analysis of the management of selected past disasters with specific focus on interoperability and efficiency
System integration via Common Information Space (CIS)

EPISECC CIS

Common Information Space as Enabler for Collaboration in Disaster Management
Array of components of DMF

Influenza A (H1N1) on-site detection (POCT)

On-site detection of Influenza A (H1N1) with a portable qPCR device (POC)
Pebble qcLAMP Device

Real-time detection of Measles, West Nile Virus and SARS-Cov-2

Genetic markers allowing real time point-of-service detection of Measles, West Nile Virus and SARS-Cov-2 via the utilization of a portable qcLAMP device
GUI

LifeX COP

LifeX COP is a web-centric multi-user Solution developed by Frequentis to address the lack of a Common Operational Picture in the field of Crisis Management.
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.