Spatially explicit effective reproduction numbers from incidence and mobility data

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

Using intelligent virtual assistants for controlling employee population in workspaces is a research area that remains unexplored. This paper presents a novel application of virtual humans to enforce Covid-19 safety measures in a corporate workplace. For t ...

SPRINGER INTERNATIONAL PUBLISHING AG2022

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

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

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

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

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, Maria Eugenia Zaballa

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

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

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 the impact of non-pharmaceutical interventions on SARS-CoV-2 transmission in Switzerland

Andrea Rinaldo, Jacques Fellay, Francisco Javier Perez Saez, Joseph Chadi Benoit Lemaitre

Following the rapid dissemination of COVID-19 cases in Switzerland, large-scale non-pharmaceutical interventions (NPIs) were implemented by the cantons and the federal government between 28 February and 20 March 2020. Estimates of the impact of these inter ...

2020

Retention of E. coli and water on the skin after liquid contact

Tamar Kohn, Timothy R. Julian

The frequent contact people have with liquids containing pathogenic microorganisms provides opportunities for disease transmission. In this work, we quantified the transfer of bacteria—using E. coli as a model- from liquid to skin, estimated liquid retenti ...

2020

Spread and dynamics of the COVID-19 epidemic in Italy: Effects of emergency containment measures

Andrea Rinaldo, Enrico Bertuzzo, Lorenzo Mari, Luca Carraro, Marino Gatto

The spread of coronavirus disease 2019 (COVID-19) in Italy prompted drastic measures for transmission containment. We examine the effects of these interventions, based on modeling of the unfolding epidemic. We test modeling options of the spatially explici ...

National Academy of Sciences2020

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