35 projects
Status
Domain
Organization Type
Using historical knowledge graphs to materialize and visualize Corona viruses knowledge evolution...
Knowledge Graphs (KG) or, more generally speaking, Knowledge bases implemented using Semantic Web technologies provide the basics to represent domain knowledge in a machine interpretable manner. This allows computers to consume this knowledge for various purposes (e.g. information retrieval, knowledge discovery, decision support...). Because of their properties, KG are currently used to formalize knowledge about Covid 19 to provide a deep understanding of the state of knowledge about the disease at a given moment in time (e.g. CORD 19, Lens Covid 19 datasets, John Hopkins university dataset...
Public application for travel optimization on the territory
The Covid-19 pandemic brought a large number of territories to confine populations in order to slow the spread of the virus. On a daily basis, the need of the population to be able to anticipate their (rare) trips according to the expected attendance has already been expressed. We propose the creation of a web and mobile application allowing to display the frequentation and the concentration of population in the form of dashboards and interactive maps. Based on generic geolocation data from local telephone operators, the information would indicate to the user the areas with little / no traf...
COVoiceID - Identification of COVID-19 from Voice
COVoiceID project proposes a machine learning based system that will use patient's voice and cough to detect repeating patterns, with the aim to discriminate between voices of healthy individuals and COVID-19 patients. COVID-19 is a respiratory condition, affecting breathing and voice, and causing, among other symptoms, dry cough, sore throat, excessively breathy voice and typical breathing patterns. These are all conditions that can make patients' voice distinctive, creating recognizable voice signatures. The ability to successfully identify COVID-19 patients from their voice will heavily...
COVID-19 time-space analysis on Twitter
Coronavirus outbreak perception in the population of the greater region on Twitter: spatio-temporal distribution and salient subtopics.
Detection Covid19 patients rapidly using cough and voice analyses
Emergency service hospital center receives a huge number of calls in epidemic period, among these calls there are critical cases that need rapid intervention, it may be delayed to answer these cases. Therefore, we suggest a solution by giving an indication of the health status of the person calling directly when hearing his voice and cough. This indicator depends on finding a degree of correspondence between the caller's voice, cough signatures and that of certain patients with the COVID-19 virus. This solution can also be used effectively by health professionals for remote consultations in...
Facilitating optimal exit strategies with smart access control and identification (SmartExit)
This project aims at facilitating exit strategies incorporating access to the public space, border crossing or critical areas such as retirement homes, based on the individual COVID-19 immunity and/or infection status. The smart access control will be based on passports, ID cards, smart cards, or even smartphone apps. We will propose a mechanism, produce a prototype implementation, and present a preliminary formal analysis of the proposed solution. While it might be necessary to waive users' privacy to contain the epidemic in the short term, we will look for mechanisms that waive it to the ...
Towards an Integrated GEospatial corona (pandemic) Response system
The Corona pandemic has shown that rapid information integration from distributed sources is of high importance to control the spatial and temporal spread of unknown infectious diseases across different scales, from local sources of origin to the entire globe. It is of vital importance to protect the the population and in particular the most vulnerable people by having a good picture of the spatial and temporal distribution of the corona virus across local, regional, national and global areas to avoid fast spreads through e.g. social contacts resulting in overwhelmed health, emergency and s...
Measuring economic activity during the outbreak and in the recovery
The Covid-19 outbreak and its economic consequences have posed the problem of the availability of fast and timely information on economic conditions, to help the policy makers to gauge impacts of crisis and set up the correct fiscal measures, and also to quantify effects through automatic fiscal stabilizers. Official indicators on economic activity are typically released with a lag of one month to several months. This forces policymakers to use past data when making decisions. Fortunately, soft data is available that could help produce 'flash' estimates of current economic activity. Soft...
