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Статті в журналах з теми "Modèle épidémique en réseau":
Le Pont, Françoise. "Vers un modèle prévisionnel de développement de l'infection VIH en France à partir de l'enquête ACSF." Population Vol. 48, no. 5 (May 1, 1993): 1535–50. http://dx.doi.org/10.3917/popu.p1993.48n5.1550.
Piarroux, R., F. Batteux, S. Rebaudet, and P. Y. Boelle. "Les indicateurs d’alerte et de surveillance de la Covid-19." Annales françaises de médecine d’urgence 10, no. 4-5 (September 2020): 333–39. http://dx.doi.org/10.3166/afmu-2020-0277.
Vazquez, J., M. Zug, D. Bellefleur, B. Grandjean, and O. Scrivener. "Utilisation d'un réseau de neurones pour appliquer le modèle de Muskingum aux réseaux d'assainissement." Revue des sciences de l'eau 12, no. 3 (April 12, 2005): 577–95. http://dx.doi.org/10.7202/705367ar.
Pache, Gilles. "La firme-réseau : mode ou modèle ?" Les Cahiers du LERASS 23, no. 1 (1991): 51–60. http://dx.doi.org/10.3406/sciso.1991.951.
Piment, Hélène. "Modèle communicationnel d’un réseau socionumérique d’entreprise." Revue Communication & professionnalisation, no. 3 (February 29, 2016): 100–123. http://dx.doi.org/10.14428/rcompro.vi3.473.
Blanchet, Luc, Renée Dauphinais, Henri Lavigueur, and Robert Mayer. "L’intervention en réseau, un modèle alternatif de prise en charge communautaire." Santé mentale au Québec 6, no. 2 (June 13, 2006): 126–32. http://dx.doi.org/10.7202/030110ar.
D., Y. M. "Réseau BPR, un modèle de structure multisites." Option/Bio 25, no. 514 (October 2014): 4. http://dx.doi.org/10.1016/s0992-5945(14)71887-2.
Bonhomme, Stéphane, and Kevin Dano. "Functional Differencing in Networks." Revue économique Vol. 51, no. 1 (February 27, 2024): 147–75. http://dx.doi.org/10.3917/reco.751.0147.
Piriou, P., S. Dukan, Y. Levi, F. Guyon, and P. Villon. "Modélisation du comportement des biomasses bactériennes libres et fixées dans les réseaux de distribution d'eau potable." Revue des sciences de l'eau 9, no. 3 (April 12, 2005): 381–406. http://dx.doi.org/10.7202/705259ar.
Lamarche, Rodolphe, and Jean Francon. "Analyse et simulation topologiques en géographie, application à l’étude des migrations interrégionales." Cahiers de géographie du Québec 19, no. 46 (April 12, 2005): 189–207. http://dx.doi.org/10.7202/021253ar.
Дисертації з теми "Modèle épidémique en réseau":
Gallois, Passat Isabelle. "Analyse de modèles d'évolution sur un réseau, cas d'un système épidémique avec diffusion non locale." Thesis, Cergy-Pontoise, 2015. http://www.theses.fr/2015CERG0786.
This thesis is devoted to the mathematic analysis of time-dependent models on complex networks. There are three chapters. The first two chapters concern a model for the spread of epidemics on networks while the third chapter concerns Price equation, which arises as a model for the growth of complex networks.Most part of this thesis is concentrated in the first two chapters, in which we propose and analyze a SIS-type epidemic model with nonlocal diffusion. This model is derived from a discrete model, by considering here the degree as a continuous variable taking nonnegative values. Hence the network is described by the degree distribution of its nodes, where the epidemic transmission takes place. Migration occurs along the edges of the network and corresponds to nonlocal diffusion. The evolution system for the density of susceptible and infected individuals reads as a coupled system of nonlinear equations with nonlocal terms, which are given by the mean values of these densities on the network. We provide the analysis of this time-dependent system, distinguishing the cases of limited transmision (chapter 1) and illimited transmission (chapter 2).We first rigorously prove the existence of a unique solution to the system, either locally or globally in time, using a fixed point method. Next we establish necessary and sufficient threshold conditions for the existence of an endemic equilibrium. We then investigate the linear stability of both the disease-free and the endemic equilibrium and compare our results to the ones obtained for the discrete system. In the case of equal diffusivities and illimited transmission, we reduce the system to a Fisher-type equation with nonlocal diffusion, for which we prove a comparison principle. This allows us to study the large-time asymptotics of the solution for arbitrary initial data.The last chapter deals with Price equation, which is a model for the growth of networks. The model reads as a discrete recursive equation that provides the time-evolution of the probability distribution of the degrees in a growing network. We show rigorously that the solution converges to a stationary state exhibiting a power-law tail, whose exponent is explicitly given
Hui, Zi. "Structure spatiale du réseau complexe et dynamique de diffusion." Phd thesis, Université du Maine, 2013. http://tel.archives-ouvertes.fr/tel-00812604.
Darbon, Alexandre. "Épidémiologie sur réseau pour l'évaluation des risques dans la prévention et le contrôle des infections Network-based assessment of the vulnerability of Italian regions to bovine brucellosis Disease persistence on temporal contact networks accounting for heterogeneous infectious periods." Thesis, Sorbonne université, 2019. http://www.theses.fr/2019SORUS077.
My doctoral thesis aims to propose solutions against the spread of infectious diseases in specific contexts, taking into account how host contacts evolve in time using a temporal network representation. It focuses on the determination of the epidemic threshold, a key indicator of the epidemic risk. By leveraging and extending a mathematical formalism from network theory, this work enables the computation of the epidemic threshold in real situations in order to identify public health measures. A first project addresses the persistence of bovine brucellosis in Italy despite the existing eradication measures. Using comprehensive data on cattle movements between Italian farms over several years, as well as time-stamped outbreak records, the epidemic threshold computation in each region of the country provides information on regions vulnerability and proposes factors that may explain disease persistence. An extension of the formalism is then presented, including heterogeneous average infectious periods in the epidemic threshold computation. This work shows in different epidemiological contexts how the classical assumption that the average infectious period is the same for all hosts in a population may bias epidemic risk assessments. This method also identifies the hosts in a population that are primarily responsible for the global epidemic risk
Bechah, Yassina. "Typhus épidémique : mise au point d'un modèle murin." Aix-Marseille 2, 2007. http://www.theses.fr/2007AIX20672.
Chabot, Nicolas. "Forme asymptotique pour un modèle épidémique en dimension supérieure à trois." Aix-Marseille 1, 1998. http://www.theses.fr/1998AIX11008.
Lindamulage, de Silva Olivier. "On the Efficiency of Decentralized Epidemic Management and Competitive Viral Marketing." Electronic Thesis or Diss., Université de Lorraine, 2023. http://www.theses.fr/2023LORR0145.
This thesis investigates decentralized decision-making in epidemic and viral marketing dynamics. The mathematical framework of game theory is exploited to design and assess the effectiveness of decentralized strategies. The thesis begins with a review of mathematical tools, emphasizing graph theory and game theory. Chapter 2 presents a networked epidemic game where each player (region or country) seeks to implement a tradeoff between socio-economic and health looses, incorporating constraints such as intensive care unit (ICU) availability. Nash equilibrium and Generalized Nash equilibrium are analyzed, and the influence of decentralization on global efficiency is measured using metrics like the Price of Anarchy (PoA) and the Price of Connectedness (PoC). The practical application of the game to a Covid-19 scenario is illustrated. Chapter 3 extends the analysis of Chapter 2 by incorporating opinion dynamics into the decentralized control of a networked epidemic. A new game model is introduced, where players represent geographical aera balancing socio-economic and health losses; the game is built to implement features of practical interests and to possess some mathematical properties (e.g., posynomiality) which makes its analysis tractable. The analysis focuses on the existence and uniqueness of the Generalized Nash Equilibrium (GNE), and an algorithm for computing the GNE is proposed. Numerical simulations quantify the efficiency loss induced by decentralization in the presence and absence of opinion dynamics. The results identify scenarios where decentralization is acceptable in terms of global efficiency measures and highlight the importance of opinion dynamics in decision-making processes. Chapter 4 explores a Stackelberg duopoly model in the context of viral marketing campaigns. The objective is to characterize the optimal allocation strategy of advertising budgets across regions to maximize market share. A relatively simple Equilibrium strategies are derived, and conditions for a "winner takes all" outcome are established. Theoretical findings are complemented by numerical simulations and an example illustrating equilibrium characterization.This thesis offers valuable insights into the effectiveness of decentralized decision-making in the context of epidemic and viral marketing dynamics. The findings have implications for healthcare management, business competition, and related fields
Meharouech, Ali Amira. "Wireless body-to-body sensor networks : optimization models and algorithms." Thesis, Sorbonne Paris Cité, 2016. http://www.theses.fr/2016USPCB122/document.
Motivated by the rising demand for remote and improved healthcare, while decreasing the cost of using network infrastructures to ensure time and data rate-constrained applications, Wireless Body Area Networks (WBANs) still form a strongly growing research field. Besides, engineers and researchers are investigating new solutions to supplement mobile communications through developing opportunities for cooperative WBANs. In this context, using network users themselves as relays could complement and extend existing infrastructure networks, while improving network capacity and promoting radio spectrum usage. Yet, network operators, that are already planning for the Internet of Things (IoT) and cloud computing technologies integration, should also think about this new possibility of creating a new type of mobile ad hoc network, where network users themselves are used as simplified ad hoc base stations, to fulfill the desire of sharing real-time information between colocated persons carrying body sensors. This emerging type of network is called Body-to-Body Network (BBN). In a BBN, a radio device situated on one person gathers the sensor data from the sensor nodes worn by that person, and transmit them to a transceiver situated on another person in the nearby area, in order to be processed or relayed to other BBN users. BBNs can find applications in a range of areas such as healthcare, team sports, military, entertainment, as well as exciting social networking experiences. Operating in the popular Industrial, Scientific and Medical (ISM) band, the communication links in a BBN will be heavily susceptible to interference between the different radio technologies sharing the limited radio spectrum. Thus, inter-body interference become an important concern for protocol design and quality of service for the BBN end user. Yet, higher layer MAC and networking mechanisms need to be in place to overcome this interference problem. To date, very few studies, that perform in-depth analysis of this type of body-centric scenario, exist. The interference problem in such distributed system, should be tackeled with distributed mechanisms, such as Game Theory. The decision makers in the game are either the WBANs/people forming the BBN or the network operators who control the inter-WBAN communicating devices. These devices have to cope with a limited transmission resource (ISM band) that gives rise to a conflict of interests. This thesis aims at exploring the opportunities to enable inter-WBAN communications by ensuring feasible sharing of the radio spectrum through two challenging research issues. First, mutual and cross-technology interference mitigation, and second, the design of a BBN specific routing protocol applied to an epidemic control application within mass gathering areas, such as the airport, as use case in this thesis. In a first phase, a game theoretical approach is proposed to resolve the distributed interference problem in BBNs. The Socially-aware Interference Mitigation (SIM) game performs twofold: at the WBAN stage, it allocates ZigBee channels to body sensors for intra-WBAN data sensing, and at the BBN stage, it allocates WiFi channels to mobile devices for inter-WBAN data transmitting and relaying. Two algorithms, BR-SIM and SORT-SIM, were developed to search for Nash equilibra to the SIM game. The first (BR-SIM) ensures best response solutions while the second (SORT-SIM) attempts to achieve tradeoff between sub-optimal solutions and short convergence time. Then, in order to highlight the social role of BBNs, the second part of this thesis is devoted to propose an epidemic control application tailored to BBNs, in indoor environment. This application implements a geographic routing protocol, that differentiates WBANs traffic and ensures real-time quarantine strategies. (...)
Valdano, Eugenio. "Analyse quantitative de la vulnérabilité des réseaux temporels aux maladies infectieuses." Thesis, Paris 6, 2015. http://www.theses.fr/2015PA066211/document.
Infectious disease modeling represents a powerful tool for assessing the vulnerability of a population to the introduction of a new infectious pathogen. The increased availability of highly resolved data tracking host interactions is making epidemic models potentially increasingly accurate. Integrating into them all the features emerging from these data, however, still represents a challenge. In particular, the interaction between disease dynamics and the time evolution of contact structures has been shown to impact the way pathogens spread, changing the conditions that lead to the wide-spreading regime, as encoded in epidemic threshold. Up to now researchers have characterized the epidemic threshold on time evolving contact structures only in specific settings. Using a multilayer formalism, we analytically compute the epidemic threshold on a generic temporal network, accounting for several different disease features. We use this methodology to assess the impact of time resolution and network duration on the estimation of the threshold. Then, thanks to it, we assess the global vulnerability of different systems to pathogen introduction, and in particular we analyze the networks of cattle trade movements Data collection strategies often inform us only about past network configurations, and that limits our prediction capabilities. We face this by developing a data-driven methodology for predicting targeted epidemic that relies only past contact data. Our work provides new methodologies for assessing and predicting the risk associated to an emerging pathogen, both at the population scale and targeting specific hosts
Meharouech, Ali Amira. "Wireless body-to-body sensor networks : optimization models and algorithms." Electronic Thesis or Diss., Sorbonne Paris Cité, 2016. http://www.theses.fr/2016USPCB122.
Motivated by the rising demand for remote and improved healthcare, while decreasing the cost of using network infrastructures to ensure time and data rate-constrained applications, Wireless Body Area Networks (WBANs) still form a strongly growing research field. Besides, engineers and researchers are investigating new solutions to supplement mobile communications through developing opportunities for cooperative WBANs. In this context, using network users themselves as relays could complement and extend existing infrastructure networks, while improving network capacity and promoting radio spectrum usage. Yet, network operators, that are already planning for the Internet of Things (IoT) and cloud computing technologies integration, should also think about this new possibility of creating a new type of mobile ad hoc network, where network users themselves are used as simplified ad hoc base stations, to fulfill the desire of sharing real-time information between colocated persons carrying body sensors. This emerging type of network is called Body-to-Body Network (BBN). In a BBN, a radio device situated on one person gathers the sensor data from the sensor nodes worn by that person, and transmit them to a transceiver situated on another person in the nearby area, in order to be processed or relayed to other BBN users. BBNs can find applications in a range of areas such as healthcare, team sports, military, entertainment, as well as exciting social networking experiences. Operating in the popular Industrial, Scientific and Medical (ISM) band, the communication links in a BBN will be heavily susceptible to interference between the different radio technologies sharing the limited radio spectrum. Thus, inter-body interference become an important concern for protocol design and quality of service for the BBN end user. Yet, higher layer MAC and networking mechanisms need to be in place to overcome this interference problem. To date, very few studies, that perform in-depth analysis of this type of body-centric scenario, exist. The interference problem in such distributed system, should be tackeled with distributed mechanisms, such as Game Theory. The decision makers in the game are either the WBANs/people forming the BBN or the network operators who control the inter-WBAN communicating devices. These devices have to cope with a limited transmission resource (ISM band) that gives rise to a conflict of interests. This thesis aims at exploring the opportunities to enable inter-WBAN communications by ensuring feasible sharing of the radio spectrum through two challenging research issues. First, mutual and cross-technology interference mitigation, and second, the design of a BBN specific routing protocol applied to an epidemic control application within mass gathering areas, such as the airport, as use case in this thesis. In a first phase, a game theoretical approach is proposed to resolve the distributed interference problem in BBNs. The Socially-aware Interference Mitigation (SIM) game performs twofold: at the WBAN stage, it allocates ZigBee channels to body sensors for intra-WBAN data sensing, and at the BBN stage, it allocates WiFi channels to mobile devices for inter-WBAN data transmitting and relaying. Two algorithms, BR-SIM and SORT-SIM, were developed to search for Nash equilibra to the SIM game. The first (BR-SIM) ensures best response solutions while the second (SORT-SIM) attempts to achieve tradeoff between sub-optimal solutions and short convergence time. Then, in order to highlight the social role of BBNs, the second part of this thesis is devoted to propose an epidemic control application tailored to BBNs, in indoor environment. This application implements a geographic routing protocol, that differentiates WBANs traffic and ensures real-time quarantine strategies. (...)
Crépey, Pascal. "Modélisation des dynamiques spatiotemporelles des épidémies et réseaux stochastiques multi-échelles." Paris 6, 2008. http://www.theses.fr/2008PA066570.
Книги з теми "Modèle épidémique en réseau":
Prum, Bernard. Processus sur un réseau et mesures de Gibbs: Applications. Paris: Masson, 1986.
Rojas, Raúl. Neural networks: A systematic introduction. Berlin: Springer-Verlag, 1996.
Nobert, Yves. Méthodes d'optimisation pour la gestion. Montréal: G. Morin, 2009.
Nobert, Yves. La recherche opérationnelle. Montréal: Gaëtan Morin éditeur, 1995.
Nobert, Yves. La recherche opérationnelle. 3rd ed. Boucherville, Québec: G. Morin, 2001.
Mozer, Michael C. The perception of multiple objects: A connectionist approach. Cambridge, Mass: MIT Press, 1991.
Sabah, Gerard. L' intelligence artificielle et le langage. 2nd ed. Paris: Hermes, 1990.
(Editor), Lynn Nadel, Lynn Cooper (Editor), Peter Culicover (Editor), and Robert M. Harnish (Editor), eds. Neural connections, mental computation. Cambridge, Massachusetts: The MIT Press, 1992.
Lynn, Nadel, ed. Neural connections, mental computation. Cambridge, Mass: MIT Press, 1990.
Dayhoff, Judith E. Neural network architectures: An introduction. New York, N.Y: Van Nostrand Reinhold, 1990.
Частини книг з теми "Modèle épidémique en réseau":
Kervran, David Dumoulin. "Analyser et mobiliser : le réseau-modèle d’action en perspective." In Agir-en-réseau, 9–39. Presses universitaires de Rennes, 2012. http://dx.doi.org/10.4000/books.pur.70695.
"Le réseau comme modèle dominant de l'action collective et grille d’évaluation." In Agir-en-réseau, 43. Presses universitaires de Rennes, 2012. http://dx.doi.org/10.4000/books.pur.70707.
Savard, Denis, Abdou Lahate Cissé, and Ndugumbo Vita. "Exporter le modèle des cégeps : les défis de la « tropicalisation »." In Le réseau des cégeps, 457–66. Les Presses de l’Université de Laval, 2017. http://dx.doi.org/10.1515/9782763735566-068.
"21 Défauts du modèle du réseau statique." In Physique des solides, 493–500. EDP Sciences, 2002. http://dx.doi.org/10.1051/978-2-7598-0178-7.c025.
CHIQUET, Julien, Marie-Josée CROS, Mahendra MARIADASSOU, Nathalie PEYRARD, and Stéphane ROBIN. "Le modèle Poisson log-normal pour l’analyse de distributions jointes d’abondance." In Approches statistiques pour les variables cachées en écologie, 175–99. ISTE Group, 2022. http://dx.doi.org/10.51926/iste.9047.ch8.
JACQUEMONT, Mikaël, Thomas VUILLAUME, Alexandre BENOIT, Gilles MAURIN, and Patrick LAMBERT. "Analyse d’images Cherenkov monotélescope par apprentissage profond." In Inversion et assimilation de données de télédétection, 303–35. ISTE Group, 2023. http://dx.doi.org/10.51926/iste.9142.ch9.
LAMINE, Claire, Denis CAREL, and Hélène PROIX. "Paysamap." In Pratiques et savoirs agricoles dans la transition agroécologique, 79–96. Editions des archives contemporaines, 2022. http://dx.doi.org/10.17184/eac.3054.
Scherrer, Franck. "Splendeurs et décadence du modèle universel « tout-réseau » du service urbain de l’eau." In Peurs et Plaisirs de l'eau, 369–90. Hermann, 2011. http://dx.doi.org/10.3917/herm.barra.2011.01.0369.
Szulman, Éric. "Conclusion. Vision du réseau et action de l’État : les contours d’un modèle français de navigation intérieure." In La navigation intérieure sous l’Ancien Régime, 335–44. Presses universitaires de Rennes, 2014. http://dx.doi.org/10.4000/books.pur.50154.
Aebi, Carol. "Recherches sur la Sustainability." In Recherches sur la Sustainability, 295–309. EMS Editions, 2023. http://dx.doi.org/10.3917/ems.cheva.2023.01.0295.
Тези доповідей конференцій з теми "Modèle épidémique en réseau":
ORLIANGES, Jean-Christophe, Younes El Moustakime, Aurelian Crunteanu STANESCU, Ricardo Carrizales Juarez, and Oihan Allegret. "Retour vers le perceptron - fabrication d’un neurone synthétique à base de composants électroniques analogiques simples." In Les journées de l'interdisciplinarité 2023. Limoges: Université de Limoges, 2024. http://dx.doi.org/10.25965/lji.761.
Buzun, Andrii-Igor. "LA « LYSOGENIE » DU VIRUS DE LA PESTE PORCINE AFRICAINE COMME UN MODÈLE COMMUTATION DE D`UN PROCESSUS ÉPIDÉMIQUE À UN PROCESSUS ENDÉMIQUE." In DÉBATS SCIENTIFIQUES ET ORIENTATIONS PROSPECTIVES DU DÉVELOPPEMENT SCIENTIFIQUE. European Scientific Platform, 2023. http://dx.doi.org/10.36074/logos-21.07.2023.15.
Gautreau, Aurélien. "Des périodiques par et pour les lycéens. Le cas du Journal de mathématiques élémentaires de l’école préparatoire Sainte-Barbe en 1870." In Séminaire PéLiAS (Périodiques, Littérature, Arts, Sciences). MSH Paris-Saclay Éditions, 2023. http://dx.doi.org/10.52983/phfk5988.
Dufau, J., H. Galley, and J. C. Mangin. "Intégration d'un modèle d'évaluation technique et économique de gros-cuvre de bâtiment dans un système de CAO utilisant un système de gestion de base de données réseau." In Colloque CAO et Robotique en Architecture et BTP (3rd International Symposium on Automation and Robotics in Construction). Paris: Hermes, 1986. http://dx.doi.org/10.22260/isarc1986/0019.