Concept

Stigmatisation

Publications associées (6)

Interventionist estimands in event history analysis

The presence of competing events, such as death, makes it challenging to define causal effects on recurrent outcomes. In this thesis, I formalize causal inference for recurrent events, with and without competing events. I define several causal estimands an ...

EPFL2023

Predicting Changes in Depression Severity Using the PSYCHE-D (Prediction of Severity Change-Depression) Model Involving Person-Generated Health Data: Longitudinal Case-Control Observational Study

Martin Jaggi, Mariko Makhmutova

Background: In 2017, an estimated 17.3 million adults in the United States experienced at least one major depressive episode, with 35% of them not receiving any treatment. Underdiagnosis of depression has been attributed to many reasons, including stigma s ...

Toronto2022

Cholera in the Lake Kivu region (DRC): Integrating remote sensing and spatially explicit epidemiological modeling

Andrea Rinaldo, Enrico Bertuzzo, Lorenzo Mari, Flavio Finger, Allyn Christine Knox, Marino Gatto

Mathematical models of cholera dynamics can not only help in identifying environmental drivers and processes that influence disease transmission, but may also represent valuable tools for the prediction of the epidemiological patterns in time and space as ...

American Geophysical Union2014

Parameter and uncertainty estimation for mechanistic, spatially explicit epidemiological models

Andrea Rinaldo, Enrico Bertuzzo, Bettina Schaefli, Lorenzo Mari, Flavio Finger

Epidemiological models can be a crucially important tool for decision-making during disease outbreaks. The range of possible applications spans from real-time forecasting and allocation of health-care resources to testing alterna- tive intervention mechani ...

2014

Consensus when all processes may be Byzantine for some time

Martin Hutle, Martin Biely

Among all classes of faults, Byzantine faults form the most general modeling of value faults. Traditionally, in the Byzantine fault model, faults are statically attributed to a set of up to t processes. This, however, implies that in this model a process a ...

2011

Exploiting observers' judgements for nonverbal group interaction analysis

Daniel Gatica-Perez, Oya Aran

Incorporating annotators' knowledge into a machine-learning framework for detecting psychological traits using multimodal data is an open issue in human communication and social computing. We present a model that is designed to exploit the subjective judge ...

IEEE2011

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