8 projects

TraAct-DD - Track and Act with Data Donation #getout #stayout

Luxembourg is entering a gradual deconfinement phase. For this to be successful, it is critical that the country protect vulnerable people and build the trust of the population in going back to work, to school safely. It is also vital to identify asymptomatic COVID-positive patients and to wisely direct the (scarce) tests. If Luxembourg can manage this, epidemiological models indicate that a gradual release of the population may stem the pandemic and enable return to normal (#getout, #stayout). The ongoing debate at the government level indicates hesitation between blue-tooth tracing, ma...

COVID-19 and chronic diseases: national health care provider survey

COVID-19 is placing unprecedented pressures on healthcare systems. The current declared pandemic has urged healthcare professionals to reorganise profoundly their everyday practice while trying to maintain care for other patients. Since the 'lockdown' situation in Luxembourg, changes in the medical sector include the opening of advanced care centres, promotion of teleconsultations and restrictions on non-urgent health care. Pre-existing chronic diseases such as cancer, cardiovascular and respiratory disease are reported as being major risk factor for severe COVID-19 health outcomes (Jordan ...

CORONASTEP+ - The value of sewage surveillance to provide new insights on the circulation of SARS...

Infection with SARS-CoV-2, the etiologic agent of the current COVID-19 pandemic, is accompanied by excretion of the virus in the feces. Therefore, we assume that the quantification of SARS CoV-2 in sewage allows the prevalence of infections in the population to be monitored by wastewater-based epidemiology, particularly when clinical trial capacity is limited. The overall objective of the CORONASTEP+ project is to determine to which extent SARS-CoV-2 is present in domestic wastewater and to determine how far wastewater monitoring can be used to track and understand the circulation of SARS-...

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 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.

Luxembourg Weizmann Initiative

Contribution to data collection effort to inform the decision making process on the pandemic exit scenario based on the Weizmann initiative adapted to Luxembourg

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...

Monitoring system for epidemiological exposure person to person

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.

export results as excel

MESR FNR University of Luxembourg LIST LISER LIH