45 projects

Towards an Integrated GEospatial corona (pandemic) Response system

The Corona pandemic has shown that rapid information integration from distributed sources is of high importance to control the spatial and temporal spread of unknown infectious diseases across different scales, from local sources of origin to the entire globe. It is of vital importance to protect the the population and in particular the most vulnerable people by having a good picture of the spatial and temporal distribution of the corona virus across local, regional, national and global areas to avoid fast spreads through e.g. social contacts resulting in overwhelmed health, emergency and s...

Measuring economic activity during the outbreak and in the recovery

The Covid-19 outbreak and its economic consequences have posed the problem of the availability of fast and timely information on economic conditions, to help the policy makers to gauge impacts of crisis and set up the correct fiscal measures, and also to quantify effects through automatic fiscal stabilizers. Official indicators on economic activity are typically released with a lag of one month to several months. This forces policymakers to use past data when making decisions. Fortunately, soft data is available that could help produce 'flash' estimates of current economic activity. Soft...

Short, mid-term and exit strategies predictions of the Covid-19 epidemic in Luxembourg

The main objective of this project is to continue developing mathematical models and predictions of the Covid-19 epidemic in Luxembourg to aid the Luxembourg COVID-19 Task Force in advising the Government. This entails the following specific aims: 1) Design and provide detailed short-term predictions on a daily basis; 2) Develop models to make reliable mid-term (exit strategies) projections considering the specific Luxembourgish circumstances including demographic, geographic and economics data; 3) Transfer knowledge from other countries into Luxembourg models. In particular, obtain data an...

ACTING NoW (A Control Tower for the early detectIoN of distress in loGistics NetWorks and essenti...

The overall goal of the project is to assess and monitor the performance of logistics networks and supply chains in Luxembourg to spot early signals of distress during the current crisis and future ones (new lockdowns caused by COVID-19, and other unforeseen situations). Two surveys designed by the WP13 of the Luxembourg COVID-19 task force under the leadership of LCL and LIST are being launched as we speak to collect qualitative data on the performance of logistics networks and essential supply chains. These surveys will be administered using a platform provided by Incert, in the full re...

Privacy and Cybersecurity for Covid Projects

The development of IT-based solutions to fight the Covid-19 are promising. Note however that if such solutions are processing personal data, they have to remain secure and compliant with data protection principles. 'Therefore, a number of considerations should be taken into account to guarantee the lawful processing of personal data and in all cases it should be recalled that any measure taken in this context must respect the general principles of law and must not be irreversible '. In this context, the Privacy for Covid Projects (P4CP) aims at providing expertise in both data protection an...

Physical Activity Monitoring via connected wearables as a rapid national citizen science effort t...

Physical activity (PA) behaviour and related metrics are known as meaningful assessments regarding general health and also specific for various diseases including characteristic COVID19 symptoms such as fever, joint aches or headache resulting in drop of PA levels and intensity, increase in sedentary time, increase in sleeping time and changes in resting heart rate which all reverse upon recovery. These specific PA features can be easily collected, in a continuous, passive, unobtrusive and low cost way at large scale as they form standard outputs from a wide range of consumer wearables such...

Streaming-based privacy-preserving tracking for epidemic models

Proactive tracking and retroactive construction of location and interaction profiles are effective instruments for tracing infection chains and for identifying root causes of outbreaks. In particular during a possible 'Hammer and Dance' period, complete and high quality tracking will be essential to keep SARS-CoV-2 confined and protect elderly and other high-risk groups from COVID-19. However, collecting personal geolocation data is seen as a privacy infringement by western societies (e.g., wrt. GDPR). The scientific community has to research and develop new mechanisms to mitigate, correc...

Data science aided adaptive strategy for anti-body testing to manage post-outbreak and future outbreaks

Why? Anti-body tests are paramount to understand the extent of herd immunity developed in the community. Thus, these tests can help plan public outreach by local authorities during and after an outbreak. Further, it can aid in developing containment strategies to prevent a subsequent wave of the outbreak. In a scenario where the current pandemic becomes seasonal, anti-body tests would help to strategize responses seasonally, including vaccination campaigns. On a personal level, it can help an individual take appropriate preventive and precautionary measures. What? A data-driven applica...

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MESR FNR University of Luxembourg LIST LISER LIH