48 projects
Status
Organization Type
#covid19 - History and collective memory in the making on social media
#covid19 - History and collective memory in the making (short title : #covid19) aims at observing, analyzing and understanding the history and collective memory 'in the making' of a global and 'total' event, i.e. the worldwide covid19 crisis. The project will be based on several datasets (see below, the 'source' section) from different social media platform. Among the research questions that will be asked, three of them will be of particular interest: • What is the role of the (non-)memory of previous historical events in the way people respond to this pandemic? • How do people ad...
A dynamic model of the COVID-19 tuned for different countries: a systems-biological tool for the ...
A dynamic model of COVID-19 epidemics recently developed (video: https://youtu.be/lbsqJ1_WvmE, model: https://jjj.bio.vu.nl/models/westerhoff1/simulate/, ref: https://medrxiv.org/cgi/content/short/2020.03.29.20045039v1) will be tuned for different countries to analyze the effect of different measures in the anticipation of next epidemics. Models will be available for online simulations at JWS Online (https://jjj.bio.vu.nl/models/westerhoff1/simulate/), and used for the development of computer tutorials for systems biological studies.
A novel high throughput assay to measure plasma neutralizing activity against SARS-CoV2
To date, there is no vaccine and no specific antiviral agent against SARS-CoV-2. Because of hospital saturation, controversial drug efficiency and the risk of medicinal shortage, there is an urgent need for alternative treatment options. Passive (plasmapheresis) and active immunization (vaccine) approaches aim to provide or elicit a protective humoral immune response against SARS-CoV-2. This project aims to develop a high throughput assay to measure the neutralizing activity of COVID-19 patients. It will help characterize the antibody response against SARS-CoV-2, and select the sera with hi...
A unified web-based platform for viral phylogeny, proteomics and genomics research in real-time
We propose the development of an integrated web-based data exploration tool for genomics, proteomics, phylogeny, evolutionary and geographical data on SARS-CoV-2 samples from Luxembourg supporting researchers and physicians to gauge the potential impact of viral evolution on virulence and transmission dynamics but also the efficacy of molecular detection methods. Integrating different data sources and visualisation modes through a graphical web-interface will offer a unique perspective on the pathogen and serve as tools to assess potential imminent risks.
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...
AICovIX - AI based diagnosis of Covid-19 from CT/X-Ray imaging
The gold standard for Covid-19 diagnosis is RT-PCR for SARS-CoV-2 from the upper airways. This method suffers from decreased accuracy in more severe disease stages affecting the lower airways. False negative PCR tests in severe cases impose a massive risk to the health system, promoting intra-hospital disease spread in the actual pandemic situation. Reports from China indicate false negative PCR from upper airway samples in severe Covid-19 pneumonia in more than 50% of the cases. Therefore, complementary tests for the detection of these dangerous cases are urgently needed. The value of che...
ARVIR
Arspectra's Augmented Reality glasses are modified in order to detect fever - the primary symptom of Covid19 infection - on distance. It enables the healthcare personnel organizing the overload of potential patients while staying at safe distances. It allows police forces, or airport security personnel to immediately detect a case of fever at airport, border, station, and public controls. These professionals are at the frontline fighting the spread of the epidemics, yet represent 30 % of the overall people getting infected. Providing detection on safe distance ARVIR reduces their ris...
An integrative network-based drug repurposing approach for COVID-19
We aim at analyzing the publicly available transcriptomics data generated by exposing human lung epithelial cells to SARS-CoV particles and measuring the differences in the gene expression. We will use a molecular network analysis approach to identify a set of key genes, that represent key regulators in the SARS-CoV gene expression signature. This signature will be filtered to distinguish pathological from protective responses and used to identify drugs that could potentially reverse pathological features of the disease phenotype based on the anti-correlation of known drug-response gene exp...