A5091254699- COVID-19 epidemiological studies
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Pandemic Impacts
- Influenza Virus Research Studies
- Viral Infections and Outbreaks Research
- SARS-CoV-2 detection and testing
- Complex Systems and Time Series Analysis
- Biosensors and Analytical Detection
- Ecosystem dynamics and resilience
- COVID-19 impact on air quality
- COVID-19 and Mental Health
- Molecular Communication and Nanonetworks
- Spectroscopy and Chemometric Analyses
- Thermography and Photoacoustic Techniques
- Employment and Welfare Studies
- Disaster Response and Management
- Spectroscopy Techniques in Biomedical and Chemical Research
Centre Hospitalier de Luxembourg
2024
University of Luxembourg
2020-2022
Continuous surveillance of COVID-19 diffusion remains crucial to control its and anticipate infection waves. Detecting viral RNA load in wastewater samples has been suggested as an effective approach for epidemic monitoring the development warning system. However, quantitative link status stages outbreak is still elusive. Modelling thus address these challenges. In this study, we present a novel mechanistic model-based reconstruct complete dynamics from SARS-CoV-2 wastewater. Our integrates...
Against the COVID-19 pandemic, non-pharmaceutical interventions have been widely applied and vaccinations taken off. The upcoming question is how interplay between social measures will shape infections hospitalizations. Hence, we extend Susceptible-Exposed-Infectious-Removed (SEIR) model including these elements. We calibrate it to data of Luxembourg, Austria Sweden until 15 December 2020. results having highest fraction undetected, Luxembourg infected all three being far from herd immunity...
Developing measures for rapid and early detection of disease re-emergence is important to perform science-based risk assessment epidemic threats. In the past few years, several warning signals (EWS) from complex systems theory have been introduced detect impending critical transitions extend set indicators. However, it still debated whether they are generically applicable or potentially sensitive some dynamical characteristics such as system noise rates approach parameter values. Moreover,...
Against the current COVID-19 pandemic, governments worldwide have devised a variety of non-pharmaceutical interventions to mitigate it. However, it is generally difficult estimate joint impact different control strategies. In this paper, we tackle question with an extended epidemic SEIR model, informed by socio-political classification interventions. First, inquire conceptual effect mitigation parameters on infection curve. Then, illustrate potential our model reproduce and explain empirical...
Raman spectroscopy (RS) has demonstrated its utility in neurooncological diagnostics, spanning from intraoperative tumor detection to the analysis of tissue samples peri- and postoperatively. In this study, we employed monitor alterations molecular vibrational characteristics a broad range formalin-fixed, paraffin-embedded (FFPE) intracranial neoplasms (including primary brain tumors meningiomas, as well metastases) considered specific challenges when employing RS on FFPE during routine...
We develop an epidemionomic model that jointly analyzes the health and economic responses to COVID-19 crisis related containment public policy measures implemented in Luxembourg. The has been used produce nowcasts forecasts at various stages of crisis. focus here on two key moments time, namely deconfinement period following first lockdown, onset second wave. In May 2020, we predicted a high risk wave was mainly explained by resumption social life, low participation large-scale testing,...
We develop an epidemionomic model that jointly analyzes the health and economic responses to COVID-19 crisis related containment public policy measures implemented in Luxembourg Greater Region. The has a weekly structure covers whole year 2020. With limited number of parameters, is calibrated depict pre-crisis evolution economy, match post-lockdown leading indicators industry-specific infection curves. nowcasting part our analysis reveals each week lockdown reduces national output by about...
Abstract Against the current COVID-19 pandemic, governments worldwide have devised a variety of non-pharmaceutical interventions to suppress it, but efficacy distinct measures is not yet well quantified. In this paper, we propose novel tool achieve quantification. fact, paper develops new extended epidemic SEIR model, informed by socio-political classification different interventions, assess value several suppression approaches. First, inquire conceptual effect parameters on infection curve....
Abstract Background Worldwide more than 72 million people have been infected and 1.6 died with SARS-CoV-2 by 15th December 2020. Non-pharmaceutical interventions which decrease social interaction implemented to reduce the spread of mitigate stress on healthcare systems prevent deaths. The pandemic has tackled disparate strategies distinct countries resulting in different epidemic dynamics. However, vaccines now becoming available, current urgent open question is how interplay between...
Abstract Developing tools for rapid and early detection of disease re-emergence is important to perform science-based risk assessment epidemic threats. In the past few years, several warning signals (EWS) from complex systems theory have been introduced detect impending critical transitions extend set indicators. However, it still debated whether they are generically applicable or potentially sensitive some dynamical characteristics such as system noise rates approach parameter values....
Abstract We present COVID-19 Wastewater Analyser (CoWWAn) to reconstruct the epidemic dynamics from SARS-CoV-2 viral load in wastewater. As demonstrated for various regions and sampling protocols, this mechanistic model-based approach quantifies case numbers, provides indicators accurately infers future trends. In situations of reduced testing capacity, analysing wastewater data with CoWWAn is a robust cost-effective alternative real-time surveillance local dynamics.
Continuous surveillance of COVID-19 diffusion remains crucial to control its and anticipate infection waves. Detecting viral RNA load in wastewater samples has been suggested as an effective approach for epidemic monitoring the development warning system. However, quantitative link status stages outbreak is still elusive. Modelling thus address these challenges. In this study, we present a novel mechanistic model-based reconstruct complete dynamics from SARS-CoV-2 wastewater. Our integrates...