32 projects

Let's keep connected (revised version)

We will develop an interactive chatbot to provide support to confined people not only during the COVID19 crisis, but also after the confinement, in the exit and post-exit phase. The public authorities and some NGOs are offering support services to help people facing specific problems, and the same should be the case for the COVID19 crisis. It is of prime importance for these Luxembourgish services not to be overwhelmed by wrong enquiries, and also to be able to serve the maximum amount of enquiries. A majority of them could be targeted on same frequently asked questions. The chatbot that we...

WINDFALL: Wireless Network Data Fusion for Analysing Indoor Social Distancing Levels

Contact tracing apps are designed to quickly identify and interrupt infection chains using communication technologies. While geolocation approaches have been considered at an early stage, the most promising solutions now rely on the use of Bluetooth and signal strength measurements. However, although these solutions can trace an infected person's contacts quickly, they suffer from significant issues, which suggest that the production of advanced social distancing indicators and manual tracing are still needed. WINDFALL will implement a platform for monitoring crowd behaviour patterns in ...

Covid-19 Detection by Cough and Voice Analysis (CDCVA)

Emergency service hospital center receives a huge number of calls in epidemic period, among these calls there are critical cases that need rapid intervention, it may be delayed to answer these cases. Therefore, we suggest a solution by giving an indication of health status of the person calling directly when hearing his voice and cough. This indicator depends on finding a degree of correspondence between the caller's voice, cough signatures and that of certain patients with the Covid-19 virus. The solution proposed by CDCVA project can also be used effectively by health professionals for re...

CoLiBri - COVID19 Literature Browser for Scientific Investigations

Researchers around the world are in a race against the clock to find treatments, vaccines and diagnosis methods for COVID19. A major hurdle lies in the necessity to digest an abundant scientific literature which grows by the day. Keeping up with such a growth requires appropriate visual text analytics software, combining the power of text mining algorithms with the flexibility of interactive visualizations. The CoLiBri proposal aims to give free access to the COVID19 researcher community around the world to the Papyrus literature visualization software developed at LIST (https://colibri...

What is the impact of random mixing on the spread of COVID-19 in Luxembourg?

Mathematical modelling of the spread of the SARS-COV-2 virus is being used around the world to measure the impact of non-pharmaceutical interventions and make predictions on the numbers of infected individuals and deaths. This project aims to build an agent-based model that can be used to measure the impact of random mixing between strangers, on the spread of COVID-19. While social security data can be used to construct a network of permanent home, work and school contacts, such data neglects the random mixing of strangers that takes place in, for example, bars, restaurants, shops and publi...

Mobile app based dietary assistance and intervention trial to reduce risk of COVID-19 and severity

The COVID-19 pandemic has caused disturbancies regarding normal dietary behaviour, food consumption patterns, and shopping attitudes. Several studies have shown that poor dietary choices low in proteins and vitamins and minerals/trace-elements can increase the risk of viral infections due to a less optimally functioning immune-system. In our ongoing EU project LIFANA (AAL-CALL-2017-013, May 2018-Oct 2020, 2.1M€, (www.lifana.eu), coordinator: LIST) we have already developed a mobile app prototype that provides personalized meal plans and visualizes calories and nutrients in relationship to W...

DEEPHOUSE - Deep Mining with the Covid-19 Data Warehouse

The Johns Hopkins University Center for Systems Science and Engineering (JSU-CCSE) has compiled a number of various data sources including data from the World Health Organization, the European Centre for Disease Prevention and Control, and many others. JSU-CCSE maintains and regularly updates the data so that one can assume a trusted data quality. The published data itself is largely time-series data and covers worldwide mortality rates, infected and recovered cases of the Covid-19 disease for more than 200 countries. JSU-CCSE has recorded the data itself in various Excel files; this enable...

Mobidemia (Modelling and Monitoring Human Mobility Patterns Affecting the Spread and Control of I...

The Covid19 pandemic has highlighted the critical role of restricting activities and movement to limit the spread of infectious diseases: transmission occurs at activity locations (workplaces, groceries, parks). Each region has its own mix of travel behaviours, activity locations, transport infrastructure and unique space-time patterns of human contacts. Epidemiological models don't capture this heterogeneity and are not city/region specific. However, it's difficult to determine which businesses and activities should stop and for how long, and which transport services are needed. This st...

export results as excel

MESR FNR University of Luxembourg LIST LISER LIH