Concept

COVID-19 testing

Related publications (56)

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

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 ...

NATL ACAD SCIENCES2021

Sewage reveals SARS-CoV2 spread in Canton of Ticino during the onset of the pandemic

Tamar Kohn, Xavier Fernandez Cassi, Federica Cariti, Alex Tunas Corzon, Timothy R. Julian

We investigated SARS-CoV2 spread in the Canton of Ticino, in Switzerland, at the very beginning of the pandemic (end of February 2020 - beginning of March 2020) analyzing wastewater samples. We compared data obtained from clinical testing and wastewater an ...

2021

Broad-Spectrum Antiviral Agents Based on Multivalent Inhibitors of Viral Infectivity

Francesco Stellacci

The ongoing pandemic of the coronavirus disease (Covid-19), caused by the spread of the severe acute respiratory syndrome coronavirus 2 (SARS CoV-2), highlights the need for broad-spectrum antiviral drugs. In this Essay, it is argued that such agents alrea ...

WILEY2021

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

C-reactive protein and white matter microstructural changes in COVID-19 patients with encephalopathy

Alessandra Griffa

Encephalopathy is a neurological complication of COVID-19. The objective of this exploratory study is to investigate the link between systemic inflammation and brain microstructural changes (measured by diffusion-weighted imaging) in patients with COVID-19 ...

SPRINGER WIEN2021

Benchmark study of undrained triaxial testing of Opalinus Clay shale: Results and implications for robust testing

Lyesse Laloui, Alessio Ferrari, Alberto Minardi

Triaxial testing of argillaceous rocks and shales is significantly more challenging than conventional rock mechanical testing. The challenges are mainly related to the very low permeability of these geomaterials, and their sensitivity to exposure of atmosp ...

ELSEVIER2021

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. However, there is currently ...

2020

Testing of asymptomatic individuals for fast feedback-control of COVID-19 pandemic

Gabriel Aeppli

We argue that frequent sampling of the fraction ofa priorinon-symptomatic but infectious humans (either by random or cohort testing) significantly improves the management of the COVID-19 pandemic, when compared to intervention strategies relying on data fr ...

2020

Global convergence of COVID-19 basic reproduction number and estimation from early-time SIR dynamics

Gabriele Manoli, Sara Bonetti, Gabriel George Katul

The SIR (‘susceptible-infectious-recovered’) formulation is used to uncover the generic spread mechanisms observed by COVID-19 dynamics globally, especially in the early phases of infectious spread. During this early period, potential controls were not eff ...

2020

The Devil is in the Detail: A Framework for Macroscopic Prediction via Microscopic Models

Negar Kiyavash

Macroscopic data aggregated from microscopic events are pervasive in machine learning, such as country-level COVID-19 infection statistics based on city-level data. Yet, many existing approaches for predicting macroscopic behavior only use aggregated data, ...

2020

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