5 projects
Status
Domain
Organization Type
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...
Understanding Immunity in COVID-19
Previously developed model of immune response [Abulikemu et al 2020] will be modified in the collaboration with model authors and used for understanding processes involved in SARS-CoV2. We will develop a systems immunology tool that stratifies the coronavirus patient population according to (i) their likelihood of developing the cytokine tornado and (ii) the tornado subtype they are subject to. It will insert individual patient information into our Abulikemu et al model [2020] and compute the implications for whether or not a flip from moderate ('acute') inflammation to a 'cytokine tornado...
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...
Identifying Predictors of Disease Progression and Tracking Viral Spread in COVID-19 Using Contin...
COVID-19 presents several unique challenges within cardiovascular care. While patients with preexisting CVD appear to be at an increased risk for severe disease and/or death, infection has also been shown to produce a number of CV sequelae, including cardiogenic shock and heart failure, in patients with no known CVD. Further complicating the management of cardiovascular care in COVID-19 are the adverse cardiovascular side effects produced by nearly all investigational therapies currently being tested, as well as, the unknown effects of standard care therapies used for the management of pree...
Innovative end-to-end solution for respiratory diseases detection and genotyping
Our innovative end-to-end solution for respiratory diseases detection and genotyping is composed of 3 main compoenets as follows: First, we want, through a multiplex qPCR assay, to target and differentiate in priority COVID-19, SARS, H5N1, H1N1 (devastating diseases) from seasonal flu (under control). Second, we propose to develop an NGS and SANGER assay for the following Intended uses: Respiratory diseases Genotyping, Screening, Monitoring, Quasispecies identification, Epidemiological studies. Third, we target to establish a large COVID-19 and SARS worldwide database , compare patient ...
