198 projects
Status
Organization Type
DEEPHOUSE - Deep Mining with the Covid-19 Data Warehouse
The Johns Hopkins University Center for Systems Science and Engineering (JSU-CCSE) has compiled a number of various data sources including data from the World Health Organization, the European Centre for Disease Prevention and Control, and many others. JSU-CCSE maintains and regularly updates the data so that one can assume a trusted data quality. The published data itself is largely time-series data and covers worldwide mortality rates, infected and recovered cases of the Covid-19 disease for more than 200 countries. JSU-CCSE has recorded the data itself in various Excel files; this enable...
Modeling the macroeconomic and distributional effects of Covid-19 and restarting scenarios (MODVid)
MODVid is a set of four complementary and interdependent work packages involving 6 PI's and about 20 partners from Unilu, STATEC, LISER and international institutions. Two WP's aim to inform public decisions during the crisis. They provide estimates of the macroeconomic, distributional, and epidemiological effects of the crisis and of restarting scenarios in Luxembourg. These outputs will be delivered within one to two months. Other WP's aim to inform public decisions in the aftermath of the crisis. They address medium-term effects on the industry and occupational structure of the labor for...
Emerging spatial interactions in cities, towns and rural landscapes at a time of crises
This project will explore emerging spatial interactions in our towns, cities and rural areas during social distancing measures. New knowledge outlining the evolving uses of public spaces and infrastructures is essential to support our understanding of the unintended consequences of epidemic control decisions. As well as providing a discourse for public dialogue. We will gather an evidence base to inform public policy on the consequences of new spatial interactions and their consequences for urban and rural environments. Our findings will answer questions and predict the impact of behavioura...
Evaluation of potential impact of previous contact with dog and cat hosted coronavirus species in...
The majority of Sars-Cov-2 infections are self-limiting but the role of patient immune response in the evolution of the infection is unknown. The severity of infection is at least partially related to host factors including immune response. The aim of this study is to investigate the potential impact of previous contact with dog and cat hosted coronaviruses in the outcome of the disease in PCR COVID-19 tested patients. For this reason investigating i) the potential relation between the disease and its outcome in PCR tested patients and the presence of a dog or cat in the household as we...
COVID-19, MEntal HEalth, REsilience and self-REgulation (COME-HERE)
Humans are a social species, and their health, life and genetic legacy are threatened by social isolation. Like other animals, humans fare poorly when isolated. The preventive measures to contain the current COVID-19 outbreak limit all forms of physical social contacts to a minimum, more and earlier in some countries than in others. Differences exist also within the same country due to household composition and dwelling location. Social isolation is associated with ill health. In this project we will investigate which factors predict levels of psychological distress and well-being associate...
Mobidemia (Modelling and Monitoring Human Mobility Patterns Affecting the Spread and Control of I...
The Covid19 pandemic has highlighted the critical role of restricting activities and movement to limit the spread of infectious diseases: transmission occurs at activity locations (workplaces, groceries, parks). Each region has its own mix of travel behaviours, activity locations, transport infrastructure and unique space-time patterns of human contacts. Epidemiological models don't capture this heterogeneity and are not city/region specific. However, it's difficult to determine which businesses and activities should stop and for how long, and which transport services are needed. This st...
Memomoti project
The digital revolution has provided people with access to unlimited resources and knowledge. Unfortunately, the processes for learning have not evolved to align with this new paradigm. Students ask 'why can't we play instead of learning'? Educators ask 'why can't I get my students to engage'? The question everyone should be asking is 'why can't we learn while we are playing? EduGamiTec is ready to radically change traditional education and digital entertainment! Multiple studies show that children spend on average 15 hours (McAfee & Center for Media and Child Health) per week playing ...
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...
