Publications associées à Population density and water balance influence the global occurrence of hepatitis E epidemics

Publications associées (32)

Benchmarking informatics approaches for virus discovery: caution is needed when combining in silico identification methods

Understanding the ecological impacts of viruses on natural and engineered ecosystems relies on the accurate identification of viral sequences from community sequencing data. To maximize viral recovery from metagenomes, researchers frequently combine viral ...

Amer Soc Microbiology2024

Waterborne Virus Transport and Risk Assessment in Lake Geneva Under Climate Change

Tamar Kohn, Chaojie Li

Climate changes influence lake hydrodynamics and radiation levels and thus may affect the fate and transport of waterborne pathogens in lakes. This study examines the impact of climate change on the fate, transport, and associated risks of four waterborne ...

2024

Inactivation of influenza A virus in expiratory droplets and aerosol particles and the associated physicochemical drivers

Aline Laetitia Schaub

Influenza is an infectious respiratory illness caused by influenza viruses. Every year, it causes up to one billion cases of disease worldwide. Despite its high disease burden, the transmission pathway of influenza remains subject to debate. There is incre ...

EPFL2024

Host-Pathogen Interactions Through the Genomic Lens

Zhi Ming Xu

Hosts and pathogens are involved in a long-standing evolutionary arms race characterized by successive rounds of evolution. Specifically, while hosts evolve resistance against infections, pathogens adapt to re-establish virulence. Since the signatures of t ...

EPFL2023

Inborn errors of type I interferon immunity in patients with symptomatic acute hepatitis E

Jacques Fellay, Ali Saadat Varnosfaderanii

Background and Aims:The clinical spectrum of human infection by HEV ranges from asymptomatic to severe acute hepatitis. Furthermore, HEV can cause diverse neurological manifestations, especially Parsonage-Turner syndrome. Here, we used a large-scale human ...

Lippincott Williams & Wilkins2023

Inactivation mechanisms of influenza A virus under pH conditions encountered in aerosol particles as revealed by whole-virus HDX-MS

Tamar Kohn, Athanasios Nenes, Kalliopi Violaki, Ghislain Gilles Jean-Michel Motos, Giovanni D'Angelo, Aline Laetitia Schaub, Shannon Christa David, Walter Hugentobler, Jonathan Paz Montoya

Multiple respiratory viruses, including influenza A virus (IAV), can be transmitted via expiratory aerosol particles, and aerosol pH was recently identified as a major factor influencing airborne virus infectivity. Indoors, small exhaled aerosols undergo r ...

2023

Simultaneous membrane and RNA binding by Tick-Borne Encephalitis Virus capsid protein

Sarah Victoria Barrass

Tick-borne encephalitis virus is an enveloped, pathogenic, RNA virus in the family Flaviviridae, genus Flavivirus. Viral particles are formed when the nucleocapsid, consisting of an RNA genome and multiple copies of the capsid protein, buds through the end ...

PUBLIC LIBRARY SCIENCE2023

Using machine learning to generate an open-access cropland map from satellite images time series in the Indian Himalayan region

Danya Li

Crop maps are crucial for agricultural monitoring and food management and can additionally support domain-specific applications, such as setting cold supply chain infrastructure in developing countries. Machine learning (ML) models, combined with freely-av ...

Elsevier2023

Dynamic pulse scheduling in ASDEX Upgrade: Disruption avoidance and investigation of the H-Mode density limit

Alessandro Pau, Federico Alberto Alfredo Felici

Operation of a tokamak device requires the coordinated operation of a multitude of systems. The sequence of operations during a discharge is both too complex and fast for human interaction. A common way of operation is a predefined sequence of operations w ...

2023

Numerical simulation of the fate, transport and public health risks of enteric viruses in Lake Geneva

Chaojie Li

Lakes are a fundamental feature of nature with brilliance, profoundness and complexity. Various of physical, chemical and biological changes take place three dimensionally in deep lakes, regulated by complicated boundary conditions. To understand and predi ...

EPFL2023

Ageing-aware battery discharge prediction with deep learning

Olga Fink, Luca Biggio

Electrochemical batteries are ubiquitous devices in our society. When employed in mission-critical applications, the ability to precisely predict their end-of-discharge under highly variable operating conditions is of paramount importance in order to suppo ...

ELSEVIER SCI LTD2023

Short-term dynamics of drainage density based on a combination of channel flow state surveys and water level measurements

Andrea Rinaldo, Jana Freiin von Freyberg, Izabela Bujak-Ozga

Headwater streams often experience intermittent flow. Consequently, the flowing drainage network expands and contracts and the flowing drainage density (DD) varies over time. Monitoring the DD dynamics is essential to understand the processes controlling i ...

Wiley2023

A data-driven perspective on the colours of metal-organic frameworks

Berend Smit, Luc Patiny, Mehrdad Asgari, Seyedmohamad Moosavi, Kevin Maik Jablonka, Christopher Patrick Ireland

Colour is at the core of chemistry and has been fascinating humans since ancient times. It is also a key descriptor of optoelectronic properties of materials and is often used to assess the success of a synthesis. However, predicting the colour of a materi ...

2021

Past and future impacts of climate change on swiss river temperature and discharge investigated with data analysis and numerical modelling

Adrien Michel

This thesis presents the first large-scale assessment of past, present and future impacts of climate change on river temperatures in Switzerland. Water temperature is a crucial factor influencing, among others, the health of aquatic ecosystems, the industr ...

EPFL2021

Detection of SARS-CoV-2 infection clusters: The useful combination of spatiotemporal clustering and genomic analyses

Stéphane Joost, Anaïs Laurence Ladoy, David Nicolas De Ridder

BackgroundThe need for effective public health surveillance systems to track virus spread for targeted interventions was highlighted during the COVID-19 pandemic. It spurred an interest in the use of spatiotemporal clustering and genomic analyses to identi ...

FRONTIERS MEDIA SA2022

Antibodies to combat viral infections: development strategies and progress

Bruno Emanuel Ferreira De Sousa Correia

Monoclonal antibodies (mAbs) are appealing as potential therapeutics and prophylactics for viral infections. This Review describes advances in antibody discovery and engineering that have led to the development of mAbs that target viruses such as severe ac ...

2022

Developing STEM and Team-working Skills Through Collaborative Space Robotics Missions

Francesco Mondada, Evgeniia Bonnet

Building on the success of the first North-South cross-continental collaborative educational robotics mission held in November 2015 [1], this paper presents a practical model for scaling the event up into a program for developing countries, particularly th ...

IEEE2021

The interplay between human genetic variation, chronic inflammation and persistent infection: relevance for cardiovascular morbidity

Flavia Aurelia Shoko Hodel

Contemporary genomic approaches allow us to seek answers to biological questions that were previously out of reach. Genome-wide association studies (GWAS) have identified numerous genetic polymorphisms associated with human diseases, providing new insight ...

EPFL2022

Parametric study of the TF coil design for the European DEMO

Pierluigi Bruzzone, Rainer Wesche, Kamil Sedlák, Xabier Sarasola Martin, Roberto Guarino

In addition to a reduced number of feeders, which would simplify their integration in the cryostat of the tokamak, the present study considers the possibility to reduce the voltage during safety discharge of the toroidal field (TF) coils. A lowered dischar ...

2021

Human mortality at extreme age

Anthony Christopher Davison, Léo Raymond-Belzile

We use a combination of extreme value statistics, survival analysis and computer-intensive methods to analyse the mortality of Italian and French semi-supercentenarians. After accounting for the effects of the sampling frame, extreme-value modelling leads ...

ROYAL SOC2021