Publication

Stochastic dynamics of cholera epidemics

Publications associées (32)

Quantifying the Effects of Contact Tracing, Testing, and Containment Measures in the Presence of Infection Hotspots

Multiple lines of evidence at the individual and population level strongly suggest that infection hotspots, or superspreading events, where a single individual infects many others, play a key role in the transmission dynamics of COVID-19. However, most of ...

2020

Rainfall as a driver of epidemic cholera: Comparative model assessments of the effect of intra-seasonal precipitation events

Andrea Rinaldo, Damiano Pasetto, Francisco Javier Perez Saez, Joseph Chadi Benoit Lemaitre, Carla Sciarra

The correlation between cholera epidemics and climatic drivers, in particular seasonal tropical rainfall, has been studied in a variety of contexts owing to its documented relevance. Several mechanistic models of cholera transmission have included rainfall ...

2019

A double-structure hydromechanical constitutive model for compacted bentonite.

Lyesse Laloui, Yafei Qiao

This paper presents a double-structure elastoplastic constitutive model that can describe the hydromechanical behavior of compacted bentonite. The model is formulated based on a new developed double-structure hydromechanical framework that consists of four ...

2019

The sources of sovereign risk: a calibration based on Levy stochastic processes

Sylvain Jean Pascal Carré, Daniel Cohen

Governments choose to issue risky or riskless debt depending on the nature of the stochastic process of output. We use Brownian motion and Poisson shocks a modeling method in the literature on corporate default known as Levy processes to approximate a deco ...

ELSEVIER SCIENCE BV2019

Machine learning for fast and reliable solution of time-dependent differential equations

Alfio Quarteroni, Francesco Regazzoni

We propose a data-driven Model Order Reduction (MOR) technique, based on Artificial Neural Networks (ANNs), applicable to dynamical systems arising from Ordinary Differential Equations (ODEs) or time-dependent Partial Differential Equations (PDEs). Unlike ...

2019

Stochastic Optimal Control of Epidemic Processes in Networks

Utkarsh Upadhyay, William Trouleau

We approach the development of models and control strategies of susceptible-infected-susceptible (SIS) epidemic processes from the perspective of marked temporal point processes and stochastic optimal control of stochastic differential equations (SDEs) wit ...

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Risk Perception and Epidemics in Complex Computer Networks

Emanuele Massaro

We present a self-organised method for quickly obtaining the epidemic threshold of infective processes on networks. Starting from simple percolation models, we introduce the possibility that the effective infection probability is affected by the perception ...

IEEE2018

The potential impact of case-area targeted interventions in response to cholera outbreaks: A modeling study

Andrea Rinaldo, Enrico Bertuzzo, Flavio Finger

Background Cholera prevention and control interventions targeted to neighbors of cholera cases (case-area targeted interventions [CATIs]), including improved water, sanitation, and hygiene, oral cholera vaccine (OCV), and prophylactic antibiotics, may be a ...

2018

Feedback and Mediation in Causal Inference Illustrated by Stochastic Process Models

Mats Julius Stensrud

The concept of causality is naturally related to processes developing over time. Central ideas of causal inference like time-dependent confounding (feedback) and mediation should be viewed as dynamic concepts. We shall study these concepts in the context o ...

2018

Three- or Two-Stage Stochastic Market-Clearing Algorithm?

Farzaneh Abbaspourtorbati, Antonio J. Conejo

As the power industry considers moving from a deterministic paradigm to a stochastic one to clear the day-ahead market in systems with significant stochastic production, the following question arises: how should a stochastic clearing algorithm be formulate ...

Ieee-Inst Electrical Electronics Engineers Inc2017

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