158 projects

Impact of the Covid-19 crisis on employment participation of older workers

The objective of this project is to investigate the impact of the current COVID-19 crisis on the employment participation of older workers in Luxembourg. Due to demographics shifts, improving the employment participation of older workers is essential in order to sustain the pension insurance system. In the context of the COVID-19 crisis, older workers need particular attention as the labor market is affected in a profound way. First, since the crisis, many employees are able to work remotely. However, sectors where telework is not a practical option such as construction, real estate, manufa...

What is the impact of random mixing on the spread of COVID-19 in Luxembourg?

Mathematical modelling of the spread of the SARS-COV-2 virus is being used around the world to measure the impact of non-pharmaceutical interventions and make predictions on the numbers of infected individuals and deaths. This project aims to build an agent-based model that can be used to measure the impact of random mixing between strangers, on the spread of COVID-19. While social security data can be used to construct a network of permanent home, work and school contacts, such data neglects the random mixing of strangers that takes place in, for example, bars, restaurants, shops and publi...

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 ...

COVID-19 and chronic diseases: national health care provider survey

COVID-19 is placing unprecedented pressures on healthcare systems. The current declared pandemic has urged healthcare professionals to reorganise profoundly their everyday practice while trying to maintain care for other patients. Since the 'lockdown' situation in Luxembourg, changes in the medical sector include the opening of advanced care centres, promotion of teleconsultations and restrictions on non-urgent health care. Pre-existing chronic diseases such as cancer, cardiovascular and respiratory disease are reported as being major risk factor for severe COVID-19 health outcomes (Jordan ...

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...

export results as excel

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