In case of epidemics, where human contacts are the main vector for spreading a contagion, there is a need to track human mobility patterns and interactions in order to trace back how an infected person interacted with other people over a certain time moment.
Tracking and data management: The project is to develop a method for monitoring, identifying, and predicting geographical clusters in which the coronavirus is prevalent and will likely spread, by tracking symptoms throughout Luxembourg.
A sensor-activated, community-driven app to speed up COVID-19 contact tracing and help decrease the spread of the virus while being GDPR compliant. It enables the government to identify possible cases more effectively and provide real-time communication.
MC19: Early Detection of Epidemics and Health Status Prediction Using Intelligent Wireless Body Sensors
MyelinS, a Luxembourgish startup (LLC in the incorporation phase) is proposing a novel solution for early detection of epidemics (particularly Covid-19), health status daily analysis, and prediction of critical health situations caused by the virus without any direct medical intervention, avoiding thereby any risk of transmission of the virus to the healthcare workers, as well as to healthy people. Unlike any existing solutions, the proposed detection and prediction system is non-invasive (on mobile phones), accurate, and rapid (detection in less than 1.5 minutes). The proposed solution ...
At short-medium term, a mobile App for citizens coupled to an application (mobile or not) to be used by medical authorities and healthcare professionals, based on geolocation and contact tracking. At a longer term, a digital twin simulating social contacts and potentially tools for optimizing movements of persons.