11 projects
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We are creating a citizen science platform to allow any person, without scientific background, to be involved in the search for a COVID-19 vaccine. Our solution combines human and artificial intelligence in a model to predict vaccine candidates.
Rapid Development and Initial Preclinical Evaluation of an Effective Candidate Vaccine against SARS-CoV-2
The current pandemic caused by SARS-CoV-2 is a threat not only to global health but also to the economy since it is dramatically affecting the socioeconomic layers of societies around the planet. Thus, it will be critically important to advance in the production of an effective vaccine, which will be crucial for building up sufficient population-based immunity to efficiently curb the pandemic. While SARS-CoV-2 can infect everyone at all ages, it is mainly the elderly population that is most at risk of a fatal outcome. Elderly persons are charecterized by a declining immune function, known a...
Predicting major challenges of returning to work in Luxembourg by evaluating the impact of change...
This project is a study conducted by Pétillances, a company based in Strassen, Luxembourg, specialized in psychosocial risks prevention, trainings and organisational consultancy. This study was launched on 27th April 2020 and is still ongoing. It consists in a questionnaire evaluating how the measures taken by the Luxembourgish and cross-border governments are impacting the work organisation and what consequences it has on workers' mental health. Its first purpose is to compare the situation before the confinement measures were introduced and afterwards, for example: in what extent has ...
COVID19 Literature Bio-Curation, Text-mining and Semantic Web Technologies
The world wide scientific response to COVID-19 pandemic is reflected in the ever-growing scientific literature. Enriching our current knowledge base (https://biokb.lcsb.uni.lu) with these publications requires joint efforts at each stage of the chain of process involved in the text-mining pipeline. This pipeline comprises several challenging tasks such as part-of-speech tagging, entity recognition and normalisation, or event extraction, which are essential to discover relevant knowledge in the form of entities, relations and events. Such knowledge is then made available to the public via se...
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.
The impact of physical distance restrictions on social mixing patterns and the transmission of COVID-19
SARS-CoV-2 has infected over a million cases and resulted in more than 70,000 deaths worldwide by April 6th. Many countries have implemented physical distance restrictions in an attempt to mitigate and slow the spread of the virus. On March 18th, the Luxembourgish government declared a state of emergency closing schools and instructing residents to stay at home while avoiding any social contacts. It is crucial to evaluate whether these measures are sufficient to control the pandemic. Therefore, several countries worldwide including Luxembourg, Belgium, the Netherlands, Norway, Singapore, Un...
DICO-Lux: DIgital Covid-19 Observatory In LUXembourg: An Open Tool For SARS-COV-2 Crisis Manageme...
Monitoring online activities for public health purposes has been investigated since the first days of the digital epidemiology field early 2010s, with the objective of capturing health-related trends and model disease outbreaks. Most famous examples of internet surveillance were developed for the flu, influenza AH1N1, the Zika virus or Ebola. We now have the opportunity to leverage both the digital data available online and the appropriate Natural Language Processing (NLP) and Text Mining methods to fight the Covid-19 pandemic. The main objective of the DICO-LUX project is to rapidly d...
Distributional impact of the COVID-19 Crisis
The project aims to assess the costs and distributional implications of the COVID-19 outbreak in Luxembourg. It will identify those most likely to suffer from income losses, leading to more effective/efficient targeting of income support measures and improved cost estimates of COVID-19. The lack of timely available data constrains the estimation of the scale and direction of recent changes in the income distribution, which in turn constrain policymakers seeking to monitor such developments. There are huge uncertainties about the budgetary costs and distributional impacts of the outbreak....
