158 projects

MESSEQ - MEthodology for Simulation and Selection of Economic Quarantine exit scenarios

Introduction - One of the main challenges in the crisis period we are going through is to choose the right scenario for leaving quarantine or even resuming partial quarantine if necessary. The scenarios to be analysed must combine public health and economic and social impact. Such an initiative should be carried out in collaboration with government decision-making bodies such as Ministry of Economy, HCPN... Objective - This project would then make it possible to simulate and test all the possible scenarios for a gradual exit from containment while limiting the risk of contagion and optimis...

MicroRNA biomarkers of COVID-19 severity

The Cardiovascular Research Unit of LIH proposes to apply its know-how on RNA biomarkers to identify circulating microRNAs (miRNAs) able to predict COVID-19 severity. This project is included in COVID-19 Task force WP02 and aims to fulfill the medical need of identifying patients at high risk of developing complications after infection by SARS-CoV-2 virus. The discovery of novel prognostic biomarkers will help tailoring healthcare to each individual for patient's benefit. Considering the importance of the inflammatory storm on disease severity and patient outcome, we will focus on inflamma...

HUMAN GENETIC VARIANTS AS PREDICTORS OF THE IMMUNE RESPONSE TO COVID-19

One of the main unanswered questions is why some individuals infected with COVID-19 develop severe disease, whilst others do not. Current evidence suggests that genetic variations influence human immune reactions to microbial infections, including both innate and adaptive immune responses. Here, we aim to evaluate the impact of genetic factors on the variability of the innate immune response to SARS-CoV-2 infection. On top of a large screening of the classical immune response genes (e.g. IFNs, ILs, TLRs, MHCs), we are particularly interested in the IRG1/ACOD1 gene, which we previously di...

Monitoring system for epidemiologcal exposure person to person (MEEP2P)

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. Besides, tacking into account the privacy of users and making sure that access of the data is allowed only with the consent of users and only during well-defined conditions (limited in time of a pandemics) is essential for a democratic society. Our proposal aims at developing such a solution that can achieve a good tradeoff between tr...

TrapNclean

Some studies have demonstrated that SARS-CoV is stable almost 2 weeks after drying in standard air conditions and 3 weeks in a liquid environment. Therefore the role of fomites and environmental contamination play a significant role in virus transmission. It has been shown that Coronaviridae is less stable in high humidity and can be easily killed by heating at 56C during 15mn. We propose a solution which combines high temperature at high humidity as a synergistic inactivation of COVID19. A functional coating could be applied to masks, filtering systems for respiratory masks or gloves in...

Real-time Social Distancing Analysis

The idea of this project is to analyse if the Social Distancing measures decided by the government are being respected by the general population. To do so we propose to analyse anonymised video data in the City of Luxembourg.

Investigating hindbrain infection by SARS-CoV-2

Emerging reports suggest an infection of the hindbrain, which e.g. regulates the unconscious breathing process, by SARS-CoV-2. Some patients report that they have to breath actively/conscious. We suggest to use hindbrain organoids, infect them with the virus, investigate phenotypes and test candidate small molecules.

The Covid19Impact Survey: Assessing the COVID-19 Pandemic in Luxembourg via 25 questions in a cit...

The COVID-19 pandemic is unprecedented in modern times and will be intensively studied world-wide for decades to come by scientists, governments and industry. Data collected during the initial period of the pandemic, particularly high-quality datasets, will be crucial understanding its development, and will impact decision making for many years to come. Therefore, unless this data is quickly collected, it will be irretrievably lost for further study. We are ready to deploy a large-scale survey to get feedback from the citizens of Luxembourg in four key areas related to the COVID-19 pandemi...

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