This solution participated in a Driver+ Trial

Provider(s):

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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.
Supported Use Cases

Predict eminent epidemics outbreaks

ML-Based EWS relies on machine learning models as a method to predict eminent outbreaks of epidemics/pandemics and provide early warning to authorities.

Related CM functions

Addressed hazards
Innovation stage
Readiness
Crisis Cycle Phase
Crisis size
Illustrations
EWS main components
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.