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Virtual Safety Assistant: An Efficient Tool for Ensuring Safety During Covid-19 Pandemic

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Modeling infectious disease dynamics towards informed public health interventions, with applications on COVID-19 and cholera

Joseph Chadi Benoit Lemaitre

Emerging and existing infectious diseases pose a constant threat to individuals and communities across the world. In many cases, the burden of these diseases is preventable through public health interventions. However, taking the right decisions and design ...

EPFL2021

Maximum likelihood estimation of distribution grid topology and parameters from Smart Meter data

Lisa Carole Françoise Laurent, Giancarlo Ferrari Trecate, Jean-Sébastien Hubert Brouillon

This paper defines a Maximum Likelihood Estimator (MLE) for the admittance matrix estimation of distribution grids, utilising voltage magnitude and power measurements collected only from common, unsychronised measuring devices (Smart Meters). First, we pre ...

IEEE2023

How to detect and reduce potential sources of biases in studies of SARS-CoV-2 and COVID-19

Mats Julius Stensrud

In response to the coronavirus disease (COVID-19) pandemic, public health scientists have produced a large and rapidly expanding body of literature that aims to answer critical questions, such as the proportion of the population in a geographic area that h ...

2021

Damage-augmented digital twins towards the automated inspection of buildings

Katrin Beyer, Radhakrishna Achanta, Bryan German Pantoja Rosero

Current procedures for the rapid inspection of buildings and infrastructure are subjective, time-consuming, and cumbersome to document, necessitating new technologies to automate the process and eliminate these shortcomings. Fortunately, recent development ...

2023

Detection of Spatiotemporal Clusters of COVID-19-Associated Symptoms and Prevention Using a Participatory Surveillance App: Protocol for the @choum Study

Stéphane Joost, Idris Guessous, David Nicolas De Ridder

Background: The early detection of clusters of infectious diseases such as the SARS-CoV-2-related COVID-19 disease can promote timely testing recommendation compliance and help to prevent disease outbreaks. Prior research revealed the potential of COVID-19 ...

JMIR PUBLICATIONS, INC2021

Assessing real-world gait with digital technology? Validation, insights and recommendations from the Mobilise-D consortium

Kamiar Aminian, Anisoara Ionescu, Abolfazl Soltani

Background: Although digital mobility outcomes (DMOs) can be readily calculated from real-world data collected with wearable devices and ad-hoc algorithms, technical validation is still required. The aim of this paper is to comparatively assess and validat ...

BioMed Central2023

Large variation in anti-SARS-CoV-2 antibody prevalence among essential workers in Geneva, Switzerland

Didier Trono, Idris Guessous, Francisco Javier Perez Saez, Francesco Pennacchio

Limited data exist on SARS-CoV-2 infection rates across sectors and occupations, hindering our ability to make rational policy, including vaccination prioritization, to protect workers and limit SARS-CoV-2 spread. Here, we present results from our SEROCoV- ...

Nature Research2021

Design and Development of a Diagnostic System for a Non-Intercepting Direct Measure of the SPIDER Ion Source Beamlet Current

Basile Marie Jacques Pouradier Duteil

Stable and uniform beams with low divergence are required in particle accelerators; therefore, beyond the accelerated current, measuring the beam current spatial uniformity and stability over time is necessary to assess the beam performance, since these pa ...

MDPI2023

Wastewater monitoring outperforms case numbers as a tool to track COVID-19 incidence dynamics when test positivity rates are high

Tamar Kohn, Timothy R. Julian, Joseph Chadi Benoit Lemaitre, Xavier Fernandez Cassi, Alex Tunas Corzon, Federica Cariti

Wastewater-based epidemiology (WBE) has been shown to coincide with, or anticipate, confirmed COVID-19 case numbers. During periods with high test positivity rates, however, case numbers may be underreported, whereas wastewater does not suffer from this li ...

2021

Computing the daily reproduction number of COVID-19 by inverting the renewal equation using a variational technique

Jean-David Horacio Morel

The COVID-19 pandemic has undergone frequent and rapid changes in its local and global infection rates, driven by governmental measures or the emergence of new viral variants. The reproduction number Rt indicates the average number of cases generated by an ...

National Academy of Sciences2021

Investigation of nickel iron layered double hydroxide for water oxidation in different pH electrolytes

Michael Graetzel, Dan Ren, Lichen Bai

Nickel iron layered double hydroxide (NiFe LDH) is one of the best oxygen evolution reaction (OER) catalysts in alkaline electrolytes. However, it performs poorly in neutral electrolytes, and the detailed mechanism is still unclear. Herein, we introduce el ...

ELSEVIER2023

The COUGHVID crowdsourcing dataset, a corpus for the study of large-scale cough analysis algorithms

David Atienza Alonso, Tomas Teijeiro Campo, Lara Orlandic

Cough audio signal classification has been successfully used to diagnose a variety of respiratory conditions, and there has been significant interest in leveraging Machine Learning (ML) to provide widespread COVID-19 screening. The COUGHVID dataset provide ...

2021

Hydrogen-sieving zeolitic films by coating zeolite nanosheets on porous polymeric support

Kumar Varoon Agrawal, Luis Francisco Villalobos Vazquez de la Parra, Mostapha Dakhchoune, Xuekui Duan

The synthesis of high-performance gas-sieving zeolitic film is challenging because it involves seeded secondary growth which is complex and difficult to reproduce. Additionally, expensive asymmetric inorganic porous supports are often needed for calcinatio ...

ELSEVIER2023

Single-arm diagnostic electrocardiography with printed graphene on wearable textiles

Ata Jedari Golparvar

Stimulated by the COVID-19 outbreak, the global healthcare industry better acknowledges the necessity of innovating novel methods for remote healthcare monitoring and treating patients outside clinics. Here we report the development of two different types ...

ELSEVIER SCIENCE SA2023

A high-throughput cell- and virus-free assay shows reduced neutralization of SARS-CoV-2 variants by COVID-19 convalescent plasma

Didier Trono, Priscilla Turelli, Florence Pojer, Valeria Cagno, Charlène Mireille Raymonde Raclot, Jérémy Campos

The detection of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)-specific antibodies in the serum of an individual indicates previous infection or vaccination. However, it provides limited insight into the protective nature of this immune resp ...

AMER ASSOC ADVANCEMENT SCIENCE2021

New Insights Into the I/V Hysteretic Characteristics of Memristive Biosensors

Sandro Carrara, Ata Jedari Golparvar, Gian Luca Barbruni, Junrui Chen, Kapil Bhardwaj

Over the past decade, significant advancements have been made in the study of silicon nanowires (SiNWs). These nanoscaled devices can exhibit a memristive type of hysteresis in the current/voltage (I/V) plane that has been utilized in the biosensors leadin ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2023

The role of the visual field size in artificial vision

Diego Ghezzi

Objective. Artificial vision has been and still is the subject of intense research. The ultimate goal is to help blind people in their daily life. Approaches to artificial vision, including visual prostheses and optogenetics, have strongly focused on resto ...

IOP Publishing Ltd2023

Digital proximity tracing on empirical contact networks for pandemic control

Marcel Salathé

Digital contact tracing is a relevant tool to control infectious disease outbreaks, including the COVID-19 epidemic. Early work evaluating digital contact tracing omitted important features and heterogeneities of real-world contact patterns influencing con ...

Nature Research2021

Virtual reality intervention alleviates dyspnoea in patients recovering from COVID-19 pneumonia

Olaf Blanke, Bruno Herbelin, Oliver Alan Kannape, Sylvain Cardin, Sophie Jacqueline Andrée Betka, Jemina Fasola, Florian Lance

Background Immersive virtual reality (iVR)-based digital therapeutics are gaining clinical attention in the field of pain management. Based on known analogies between pain and dyspnoea, we investigated the effects of visual respiratory feedback on persiste ...

European Respiratory Soc Journals Ltd2023

A Research-Practice Partnership to Introduce Computer Science in Secondary School: Lessons from a Pilot Program

Francesco Mondada, Barbara Bruno, Jessica Elke Dehler Zufferey, Laila Abdelsalam El-Hamamsy, Helena Kovacs, Jean-Philippe Pellet

Context: Introducing Computer Science (CS) into formal education can be challenging, notably when considering the numerous stakeholders involved which include the students, teachers, schools, and policy makers. We believe these perspectives should be con ...

2023