Publications associées à Taux de létalité

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

Symptom Prediction and Mortality Risk Calculation for COVID-19 Using Machine Learning

Nahal Mansouri, Sahand Jamal Rahi

Background: Early prediction of symptoms and mortality risks for COVID-19 patients would improve healthcare outcomes, allow for the appropriate distribution of healthcare resources, reduce healthcare costs, aid in vaccine prioritization and self-isolation ...

FRONTIERS MEDIA SA2021

Size and duration of COVID-19 clusters go along with a high SARS-CoV-2 viral load: A spatio-temporal investigation in Vaud state, Switzerland

Stéphane Joost, Idris Guessous, Séverine Vuilleumier Varisco, Onya Opota, Anaïs Laurence Ladoy

To understand the geographical and temporal spread of SARS-CoV-2 during the first documented wave of infection in the state of Vaud, Switzerland, we analyzed clusters of positive cases using the precise residential location of 33,651 individuals tested (RT ...

2021

A scenario modeling pipeline for COVID-19 emergency planning

Francisco Javier Perez Saez, Joseph Chadi Benoit Lemaitre

Coronavirus disease 2019 (COVID-19) has caused strain on health systems worldwide due to its high mortality rate and the large portion of cases requiring critical care and mechanical ventilation. During these uncertain times, public health decision makers, ...

NATURE PORTFOLIO2021

Safeguarding the IoT From Malware Epidemics: A Percolation Theory Approach

Ainur Zhaikhan

The upcoming Internet of Things (IoT) is foreseen to encompass massive numbers of connected devices, smart objects, and cyber-physical systems. Due to the large scale and massive deployment of devices, it is deemed infeasible to safeguard 100% of the devic ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2021

The geography of COVID-19 spread in Italy and implications for the relaxation of confinement measures

Andrea Rinaldo, Enrico Bertuzzo, Lorenzo Mari, Damiano Pasetto, Marino Gatto

The pressing need to restart socioeconomic activities locked-down to control the spread of SARS-CoV-2 in Italy must be coupled with effective methodologies to selectively relax containment measures. Here we employ a spatially explicit model, properly atten ...

2020

Seroprevalence of anti-SARS-CoV-2 IgG antibodies in Geneva, Switzerland (SEROCoV-POP): a population-based study

Didier Trono, Idris Guessous, Benjamin André René Meyer, David Nicolas De Ridder, Dusan Petrovic

Assessing the burden of COVID-19 on the basis of medically attended case numbers is suboptimal given its reliance on testing strategy, changing case definitions, and disease presentation. Population-based serosurveys measuring anti-severe acute respiratory ...

2020

The COUGHVID crowdsourcing dataset: A corpus for the study of large-scale cough analysis algorithms

David Atienza Alonso, Tomas Teijeiro Campo, Lara Orlandic

2020

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Taux de létalité

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

Symptom Prediction and Mortality Risk Calculation for COVID-19 Using Machine Learning

Size and duration of COVID-19 clusters go along with a high SARS-CoV-2 viral load: A spatio-temporal investigation in Vaud state, Switzerland

A scenario modeling pipeline for COVID-19 emergency planning

Science's Response to CoVID-19

Safeguarding the IoT From Malware Epidemics: A Percolation Theory Approach

The geography of COVID-19 spread in Italy and implications for the relaxation of confinement measures

STeCC: Smart Testing with Contact Counting Enhances Covid-19 Mitigation by Bluetooth App Based Contact Tracing

Seroprevalence of anti-SARS-CoV-2 IgG antibodies in Geneva, Switzerland (SEROCoV-POP): a population-based study

The COUGHVID crowdsourcing dataset: A corpus for the study of large-scale cough analysis algorithms

Graph Chatbot

Chattez avec Graph Search

A scenario modeling pipeline for COVID-19 emergency planning

The COUGHVID crowdsourcing dataset: A corpus for the study of large-scale cough analysis algorithms

Symptom Prediction and Mortality Risk Calculation for COVID-19 Using Machine Learning

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

Safeguarding the IoT From Malware Epidemics: A Percolation Theory Approach

The geography of COVID-19 spread in Italy and implications for the relaxation of confinement measures

Seroprevalence of anti-SARS-CoV-2 IgG antibodies in Geneva, Switzerland (SEROCoV-POP): a population-based study

Size and duration of COVID-19 clusters go along with a high SARS-CoV-2 viral load: A spatio-temporal investigation in Vaud state, Switzerland