ULiège
" Study of the legal consequences of Covid 19 on the execution of construction contracts in Belgium "
Publication References: B. KOHL, "L'épidémie de Covid-19 et l'exécution des marchés de construction", Journal des Tribunaux, Brussels, Larcier, 2020, pp. 361-371
Contact: benoit.kohl@uliege.be
ULB
" https://learning-from-the-curve.netlify.app "
Funding: ULB
Contact: https://learning-from-the-curve.netlify.app
UCLouvain/USL-B
" Central banking, macroeconomic answer to the crisis, Financial ethics, Green Deal "
Contact: clement.fontan@uclouvain.be
ULB
" Production de visières à destination du personnel soignant en collaboration avec le Fablab ULB et le Your Lab. Plans en open source. - Mise en place d'une carte interactive des entreprises oeuvrant dans la lutte contre le covid-19 en collaboration avec le Fablab de Mons et le Fablab Wapi. Objectif de la carte : la mise en valeur des opérateurs économiques. - prototypage de pièces en 3D à la demande des hôpitaux - Prototypage de parois séparatrices en plexi (plan en open source) "
Contact: Fab-C Fablab Charleroi Métropole delphine.dauby@ulb.ac.be fablab-charleroi.be faceshield-fabc.be
ULiège
" Development of Methods for Mask and N95 Decontamination (the DeMaND study) and reuse for healthcare workers at the frontline The aim of this study is to identify and test, simple low-cost safe decontamination methods to enable medical masks and N95/ FFP2 respirators reuse in healthcare settings where there are critical shortages. "
Funding: Open Philanthropy
Contact: e.haubruge@uliege.be, etienne.thiry@uliege.be
ULiège
"DECONTAMINATION AND REUSE OF SURGICAL MASKS AND FILTERING FACEPIECE RESPIRATORS The global test protocol, presented in this project, aims to assess: a) the effectiveness of several decontamination methods with regard to integrity (""barrier"" function) and the quality of surgical masks and filtering facepiece respirators FFP2/N95; b) the efficacy of these decontamination methods on the inactivation of a coronavirus, similar to the SARS-CoV-2 virus present on surgical masks and filtering facepiece respirators FFP2/N95. Moreover, the present project aims to set up a consortium of companies and laboratories to meet the diverse and varied requests for ""reuse"" of various medical protective equipment (masks, filters, clothing, etc.) linked with the environmental approach."
Funding: Walloon Government
Contact: https://www.news.uliege.be/cms/c_11717821/fr/l-uliege-coordonne-le-projet-wallon-de-decontamination-des-masques-chirurgicaux-et-de-protection-respiratoire-ffp2...
ULiège
" Research Paper and associated expertise regarding the setup of a private equity fund aimed at collecting and pooling households' savings in order to restore the solvency of companies hit by the Covid-19 crisis through the subscription of preferred shares "
Publication References: Hübner, G. (2020), "Efficient Resource Allocation in the Context of the Coronavirus Crisis: Towards a Private Equity Fund Financed by Collective Savings", Revue Bancaire et Financière, Online edition 2020/4, 13 p.
Contact: https://www.financialforum.be/fr/articles/efficient-resource-allocation-context-coronavirus-crisis-towards-private-equity-fund
ULB
" Learning from the curve is a voluntary and open source research project on COVID-19 and economics. It is a joint initiative of researchers in economics at ECARES, Solvay, ULB. Our mission is to provide detailed and real-time information and visualizations on COVID-19 and economics for the general public and the press, to serve as a platform for research collaboration on these topics, to understand the impact of COVID-19 on the economic tissue of countries and regions, to provide policy recommendations based on scientific arguments supported by data analytics. Learning from the curve started as a voluntary effort of faculty and students in empirical economics at ECARES. We are also very grateful for funding from the Special COVID-19 ULB grant. None of this would be possible without either. We call data from various sources, which are referenced in the respective dashboards and articles. We provide data sources and code on our Github organization. All publicly available data, code...
Read more: Glenn Magerman, Professor - Mathias Dewatripont, Professor - Bram De Rock, Professor
FNRS, UNamur, Royal Academy of Sciences, Letters and Fine Arts of Belgium
" Modelling the Covid-19 with a view to showing the importance of contact habits for the choice of an appropriate lockdown exit strategy. "
Funding: Own funding
Publication References: "Because Culture Matters, There is No One-Size-Fits-All Strategy of Exit from Cov-19 Lockdown", VoxEU article, London.
Contact: jean-philippe.platteau@unamur.be vincenzo.verardi@unamur.be
Comment: Main paper about to be submitted.
UMONS
" The 2019 coronavirus disease (COVID-19) pandemic is a public health emergency of international concern. Authorities and population are facing a global health crisis which pose a challenge to adapt quickly and effectively. The aim of this preliminary study was to survey the general public in Belgium to better understand their levels of psychological impact, anxiety and stress during the initial stage of containment. The data also explored tips and tricks immediately adopt by the population to manage containment. From 20 March to 28 March 2020, we conducted an online survey using snowball sampling techniques on social network. The online survey collected information on demographic data, stress level in the past 7 days, knowledge and concerns about COVID-19 and the impact of using technologies for taking information and stay connected to others, precautionary measures (tips and tricks) during the beginning of containment, and additional information required with respect to...
Read more: Jennifer Denis, PhD in psychology research and teaching associate
ULiège + Mesylab SRL
" How to securely return to normalcy at work? All countries consider to lift the lockdown, but few have executed it. There are no "best practices". Questions abound: What are the risks? What are the most effective measures? Will communities follow? What are the consequences for our individual lives? Who decides how to proceed? AIMS OF THE PROJECT GIGA aims at defining the best possible approach to opening up again by involving its members. Your opinion matters. GIGA has sought assistance in conducting this real time experiment from political scientists, philosophers, lawyers and medical doctors. "
Contact: This project is supported by the GIGA office and is coordinated by the ad hoc Advisory Committee made up of expert political scientists in participation (Dr. F. Thoreau, Dr. C. Parotte, Dr. P. Delvenne, Dr. C. Fallon), a political and ethicist philosopher (Dr. F. Caeymaex) and doctors (Dr. Y. Beguin, Dr. G. Darcis).
LHUB-ULB - Royal Academy of Medicine of Belgium
" "The purpose of this study is to map the healthcare workers exposure risk in Saint-Pierre University Hospital by combining molecular methods with serological assays. In summary, the short-term objective is threefold: (1) Provide an estimate of the sero-prevalence at baseline among high-risk health care workers (2) Determine prospectively the incidence of new SARS-CoV-2 infections among high-risk health care workers (3) Estimate the healthcare worker exposure to the virus by serological data to help our five partner hospitals in their day-to-day management of the ongoing pandemic The mid-term objectives are: (1) Establish an accurate mapping of the spread of the virus among our population allowing to identify the chain of transmission, (2) Identify predictive immunological markers of susceptibility to infection and disease severity to inform vaccine strategies and, (3) Establish solid diagnosis algorithm that will help adequate lockdown...
UCLouvain
" www.covidata.be We gather data about the Coronavirus in Belgium, and attempt to extract meaningful information from it. We use open and/or public data to enable these analyses. "
Funding: No funding
Publication References: Work in progress
Contact: pierre.schaus@uclouvain.be
UMONS - Faculty of Engineering - ILIA and ISIA Departments
" This study allows an early Covid-19 diagnosis by using AI and explainable based classification and detection methods applied to CT and X-ray datasets. Many datasets form several hospitals in Belgium are used. The goal of the project is to use AI based methods to identify Covid-19 patients. Explainable AI methods are used to provide efficient interpretation and visualization tools for the classification and detection results obtained. The second goal of this project is to create a benchmark dataset composed of chest CT and X-ray database related to Covid-19 disease. To this aim, a semi-automatic annotation tool is developed in order to allow fast image annotation by radiologists. - Explainable artificial intelligence applied to Covid-19 detection based on CT and X-ray images. - Annotation tool development to build a benchmark database. "
Funding: University of Mons - Faculty of Engineering
Publication References: ...
UCLouvain - Royal Academy of Medicine of Belgium
" TThe project US3R is a general population survey that will measure the magnitude of utilised, postponed and foregone medical care in relation with other health care needs than coronavirus symptoms during the confinement period in Belgium. The study aims to describe the magnitude of unsatisfied health care needs for various types of care. It will also identify the reasons for these postponed and foregone care according to gender, health status, geographical location and socioeconomic status. "
Funding: Budget Jeune Académique UCLouvain (Sandy Tubeuf)
Contact: Sandy Tubeuf, PhD Email: sandy.tubeuf@uclouvain.be
Comment: Voir: https://uclouvain.be/fr/decouvrir/presse/actualites/coronavirus-avez-vous-renonce-a-des-soins-medicaux.html Lien vers l'enquête : https://uclouvainph.qualtrics.com/jfe/form/SV_8D3WX8lH34Lf6LP
