Publications associées à Épidémiologie

Lung Ultrasonography for Risk Stratification in Patients with Coronavirus Disease 2019 (COVID-19): A Prospective Observational Cohort Study

Mary-Anne Hartley, Jean-Yves Meuwly

Background. Lung ultrasonography (LUS) is a promising pragmatic risk-stratification tool in coronavirus disease 2019 (COVID-19). This study describes and compares LUS characteristics between patients with different clinical outcomes. Methods. Prospective o ...

OXFORD UNIV PRESS INC2021

Activity-based modeling and simulation of epidemics

Michel Bierlaire, Cloe Cortes Balcells, Rico Krüger

The SARS-CoV-2 outburst in March 2020 has led to the lockdown of several countries across the world. Mobility restrictions have been constantly put into action and reversed to find the trade-off between minimizing the number of infections and death and mit ...

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

A mathematical dashboard for the analysis of Italian COVID-19 epidemic data

Alfio Quarteroni, Luca Dede', Nicola Parolini

An analysis of the COVID-19 epidemic is proposed on the basis of the epiMOX dashboard (publicly accessible at ) that deals with data of the epidemic trends and outbreaks in Italy from late February 2020. Our analysis provides an immediate appreciation of t ...

WILEY2021

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

Separating Algorithms From Questions and Causal Inference With Unmeasured Exposures: An Application to Birth Cohort Studies of Early Body Mass Index Rebound

Mats Julius Stensrud, Aaron Leor Sarvet

Observational studies reporting on adjusted associations between childhood body mass index (BMI; weight (kg)/height (m)(2)) rebound and subsequent cardiometabolic outcomes have often not paid explicit attention to causal inference, including definition of ...

2021

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

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

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

Using open-access data to explore the relationship between urban morphology and diarrhoeal diseases in Côte d’Ivoire

Jérôme Chenal, Vitor Pessoa Colombo, Jürg Utzinger

Little is known about the impacts of morphological indicators that can be derived from the physical environment on the risk of diarrhoeal diseases. Given Africa’s recent explosive urbanisation rates and rapid changes in landscape, coupled with a high burde ...

2021

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Épidémiologie

Lung Ultrasonography for Risk Stratification in Patients with Coronavirus Disease 2019 (COVID-19): A Prospective Observational Cohort Study

Activity-based modeling and simulation of epidemics

A scenario modeling pipeline for COVID-19 emergency planning

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

A mathematical dashboard for the analysis of Italian COVID-19 epidemic data

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

Separating Algorithms From Questions and Causal Inference With Unmeasured Exposures: An Application to Birth Cohort Studies of Early Body Mass Index Rebound

Estimating and predicting snakebite risk in the Terai region of Nepal through a high-resolution geospatial and One Health approach

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

Using open-access data to explore the relationship between urban morphology and diarrhoeal diseases in Côte d’Ivoire

Graph Chatbot

Chattez avec Graph Search

Lung Ultrasonography for Risk Stratification in Patients with Coronavirus Disease 2019 (COVID-19): A Prospective Observational Cohort Study

Activity-based modeling and simulation of epidemics

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

A mathematical dashboard for the analysis of Italian COVID-19 epidemic data

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

Estimating and predicting snakebite risk in the Terai region of Nepal through a high-resolution geospatial and One Health approach

Using open-access data to explore the relationship between urban morphology and diarrhoeal diseases in Côte d’Ivoire

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

A scenario modeling pipeline for COVID-19 emergency planning

Separating Algorithms From Questions and Causal Inference With Unmeasured Exposures: An Application to Birth Cohort Studies of Early Body Mass Index Rebound