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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.
ML-Based Early Warning System
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.
Physical Activity Lifelong Modelling & Simulation (PALMS) model
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. 
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.
SARS-Cov-2 and Escherichia coli (E. coli) ESBL detection with SHERLOCK/DETECTR
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
Real-time detection of Measles, West Nile Virus and SARS-Cov-2
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.
LifeX COP
Reach52 in action

COVID-19 Information and Symptom Checker chatbot

If people know the facts and check their symptoms, they can be guided on when it’s necessary to isolate themselves, visit health facilities, or continue to follow recommended practices to slow the spread of the disease. ​​
COVID-19 Information and Symptom Checker chatbot
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.