132 projects

M-Covid: Mobile phone-based spatiotemporal analysis of population density and movement in the con...

In response to the COVID-19 health crisis, the government of Luxembourg like in many other countries has implemented social distancing and containment measures. From one day to the next, people's daily lives were disrupted. The aim of this project is to visualize and analyse the evolution of the spatial practices of individuals before, during and after this health crisis. This project is based on mobile phone data provided by a national operator. Based on such datasets, accurate and detailed maps of the population distribution can be produced for a given period of time, while ensuring that ...

Mobile app based dietary assistance and intervention trial to reduce risk of COVID-19 and severity

The COVID-19 pandemic has caused disturbancies regarding normal dietary behaviour, food consumption patterns, and shopping attitudes. Several studies have shown that poor dietary choices low in proteins and vitamins and minerals/trace-elements can increase the risk of viral infections due to a less optimally functioning immune-system. In our ongoing EU project LIFANA (AAL-CALL-2017-013, May 2018-Oct 2020, 2.1M€, (www.lifana.eu), coordinator: LIST) we have already developed a mobile app prototype that provides personalized meal plans and visualizes calories and nutrients in relationship to W...

Spatio-temporal simulation of COVID-19 spread using a coupled diffusion-SEIRD model

The recent worldwide outbreak of COVID-19 has led to a surge of interest in the modeling and simulation of infectious disease outbreaks. One particular reason of interest is the prediction of the geo-localization of the spikes of the outbreak to allocate promptly medical resources. Classical compartment models based on the Susceptible-Infected-Recovered (SIR) dynamics and their extensions, generally include the space dependence by a discretization of the region of interest related to the geopolitical compartments (counties, provinces, states, countries). In this project, we aim to develop ...

COVI-NUTRI-METABOLOMICS

Background: A poor nutrient status due to sub-optimal dietary habits increases risk of viral infections. In particular, individuals with low vitamin D, A and E, as well as zinc plasma levels are less likely to develop immune-responses against influenza vaccines. Vitamin C supplementation improves conditions in individuals with acute respiratory infections in some studies. Dietary fiber is inversely correlated with mortality from respiratory/infectious disease. These nutrients are paramount for optimal immune-response, are implicated in oxidative stress, inflammatory processes, and viral rep...

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...

export results as excel

MESR FNR University of Luxembourg LIST LISER LIH