32 projects

Physical Activity Monitoring via connected wearables as a rapid national citizen science effort t...

Physical activity (PA) behaviour and related metrics are known as meaningful assessments regarding general health and also specific for various diseases including characteristic COVID19 symptoms such as fever, joint aches or headache resulting in drop of PA levels and intensity, increase in sedentary time, increase in sleeping time and changes in resting heart rate which all reverse upon recovery. These specific PA features can be easily collected, in a continuous, passive, unobtrusive and low cost way at large scale as they form standard outputs from a wide range of consumer wearables such...

Streaming-based privacy-preserving tracking for epidemic models

Proactive tracking and retroactive construction of location and interaction profiles are effective instruments for tracing infection chains and for identifying root causes of outbreaks. In particular during a possible 'Hammer and Dance' period, complete and high quality tracking will be essential to keep SARS-CoV-2 confined and protect elderly and other high-risk groups from COVID-19. However, collecting personal geolocation data is seen as a privacy infringement by western societies (e.g., wrt. GDPR). The scientific community has to research and develop new mechanisms to mitigate, correc...

Data science aided adaptive strategy for anti-body testing to manage post-outbreak and future outbreaks

Why? Anti-body tests are paramount to understand the extent of herd immunity developed in the community. Thus, these tests can help plan public outreach by local authorities during and after an outbreak. Further, it can aid in developing containment strategies to prevent a subsequent wave of the outbreak. In a scenario where the current pandemic becomes seasonal, anti-body tests would help to strategize responses seasonally, including vaccination campaigns. On a personal level, it can help an individual take appropriate preventive and precautionary measures. What? A data-driven applica...

Information Diffusion in Tweeter during the COVID-19 Pandemic: the Case of the Greater Region

WHO announced the COVID-19 outbreak as a global health emergency, and later as a pandemic. The outbreak of the coronavirus leads to an outbreak of pandemic information as well in major online social media platforms, such as Twitter, Instagram and Facebook. Such pandemic information diffusion over online social media can strongly influence people's behaviour, and thus have an impact on the effectiveness of control and protective measures deployed by the governments. In this project, we aim to perform in-depth analysis of pandemic information dynamics, based on a dataset collected from Twitte...

CELL - Covid-19 pandEmic simuLator review for Luxembourg

Epidemic simulators are one of the essential tools for understanding and combating epidemic crises. They could assist researchers in better understanding the functioning of the dissemination process, but also empower decision-makers to try and assess different policies. In particular, they should be able to help with the projection of patient numbers, epicenters identification, intervention plan analysis, and resource management measures. With Covid-19, it is therefore required to assess if the existing simulation tools and the newly built/upcoming ones rely on realistic-enough propagatio...

Let's keep connected

We will develop an interactive chatbot to provide support to confined people not only during the COVID19 crisis, but also after the confinement, in the exit and post-exit phase. The public authorities and some NGOs are offering support services to help people facing specific problems, and the same should be the case for the COVID19 crisis. It is of prime importance for these Luxembourgish services not to be overwhelmed by wrong enquiries, and also to be able to serve the maximum amount of enquiries. A majority of them could be targeted on same frequently asked questions. The chatbot that we...

CoLiBri - COVID19 Literature Browser for Scientific Investigations

Papyrus is a fully operational web-based corpus visualization software developed at LIST, providing interactive visual maps of topics extracted automatically from thousands of articles without prior knowledge of their contents. It can handle emerging situations where new vocabulary arises for the first time. Papyrus was previously validated with PubMed publications. It also uses the MESH ontology to extract medically relevant concepts, which are leveraged in several visualizations and in semantic search queries. Unlike search engines or faceted search, the provided interactive visualization...

DIS-COVID: A privacy-friendly, user-centric framework for estimating crowd mobility patterns and ...

Modelling the spread of an epidemic over a given territory requires detailed understanding of how the population moves, interacts and behaves. This usually relies on location information (e.g. GPS from smartphones) or cellular datasets (i.e. Call Detail Records aggregating communications over a cellular network). Analysis of such data provides the foundation to develop strategies to prevent further spreading. However, access to this data is subject to controversy, first of all because it is not respectful of the individuals' privacy. Furthermore, analysing this data does not provide a full ...

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