3 projects

AnalysisMode

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.

Covid-19 related LOckdown: Shift in Exposures to neighbourhood environments and changes in Physic...

A lockdown state implies radical changes in our lifestyle, especially physical activity (PA), while PA plays a central role in maintaining an adequate health status, counteracting the negative consequences of numerous diseases. We aim to investigate the impact of lockdown (and quarantine) on PA patterns based on retrospective data. We will analyse the intra-individual changes in PA patterns of participants stratified in two specific subgroups of interest, namely positive cases and their household members as a result of the lockdown/quarantine measures in place, with respect to the partici...

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...

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MESR FNR University of Luxembourg LIST LISER LIH