5 projects
Status
Domain
Organization Type
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...
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.
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...
Multi-omics evaluation of microbial co-infection as marker of COVID-19 severity -(CO-INFECTOMICS)
The main goal of this project is to understand if SARS-CoV2 co-infections are a predictive marker of disease severity in the Luxembourgish population. To achieve this, the study will compare the respiratory and stool samples of mild and severe SARS-CoV2 positive patients. Using metagenomics and metatranscriptomics, microbial profiles of the respiratory and intestinal tracts will be investigated, with a specific attention for co-infections. Moreover, individual microbial profiles will be correlated to the health parameters and immune response. We hope that the CO-INFECTOMICS project will ena...
OPEN LABEL RANDOMIZED CONTROLLED TRIAL OF THE SAFETY AND EFFICACY OF PLASMA THERAPY FROM RECOVERE...
In December 2019, the Wuhan Municipal Health Committee identified an outbreak of viral pneumonia cases of unknown cause. Coronavirus RNA was quickly identified in some of these patients. This novel coronavirus has been designated SARS-CoV-2, and the disease caused by this virus has been designated COVID-19. Currently there are no approved therapeutic agents available for coronaviruses. The purpose of this trial is to provide substantial evidence on the efficacy and safety of the treatment of selected COVID-19 patients with plasma obtained from convalescent COVID-19 patients ('PLASMA').
