Tesis sobre el tema "Networked Epidemic Model"
Crea una cita precisa en los estilos APA, MLA, Chicago, Harvard y otros
Consulte los 44 mejores tesis para su investigación sobre el tema "Networked Epidemic Model".
Junto a cada fuente en la lista de referencias hay un botón "Agregar a la bibliografía". Pulsa este botón, y generaremos automáticamente la referencia bibliográfica para la obra elegida en el estilo de cita que necesites: APA, MLA, Harvard, Vancouver, Chicago, etc.
También puede descargar el texto completo de la publicación académica en formato pdf y leer en línea su resumen siempre que esté disponible en los metadatos.
Explore tesis sobre una amplia variedad de disciplinas y organice su bibliografía correctamente.
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.
Texto completoThis 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
Tunc, Ilker. "Epidemic models on adaptive networks with network structure constraints". W&M ScholarWorks, 2013. https://scholarworks.wm.edu/etd/1539623618.
Texto completoBurch, Mark G. "Statistical Methods for Network Epidemic Models". The Ohio State University, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=osu1471613656.
Texto completoMarques, Fernando Silveira. "Modelo híbrido estocástico aplicado no estudo de espalhamento de doenças infecciosas em redes dinâmicas de movimentação de animais". Universidade de São Paulo, 2015. http://www.teses.usp.br/teses/disponiveis/10/10134/tde-16112015-110234/.
Texto completoObjective. Development of framework applied to stochastic numerical simulation for the study of disease spreading in metapopulations, in a way that it incorporates the dynamic topology of contacts between subpopulations, checking the framework peculiarities and applying it to the animal movement network of Pernambuco to study the role of animal markets. Method. We used hybrid models paradigm to treat disease spread in metapopulations. From our applications it has resulted in the union of two modeling strategies: Individual-based model and the Algorithm for Stochastic Simulation. We applied hybrid models in real and fictitious networks to highlight the differences between different animal movement approaches (commuting and migration) and we compared these models with classic models of differential equations. Furthermore, through the hybridModels package, we studied the role of animal markets in epidemic scenarios of Foot and Mouth Disease (FMD) in animal movement networks of Pernambuco, introducing the disease in an animal market of a sample from the Animal Transit Record of Pernambuco’s database and calculating the contact infection chain of premises. Results. We noted that in the study of epidemics using a hybrid model, commuting can underestimates the number of infected animals in the animal trade scenario (migration), and resulting in a misleading spreading dynamic by ignoring a more complex scenario that occurs with migration. We created the hybridModels package that generalizes the hybrid models with migration, applied a SIR hybrid model to the animal movement network of Pernambuco and verified that animal markets are important disease spreaders. Conclusion. Despite its higher computational cost in the study of epidemics in animal movement networks, migration is the most suitable type of connection between subpopulations. Furthermore, animal markets of Pernambuco are among the most important nodes for disease transmission and should be considered in strategies of surveillance and disease control
Livingston, Samantha 1980. "Stochastic models for epidemics on networks". Thesis, Massachusetts Institute of Technology, 2004. http://hdl.handle.net/1721.1/28437.
Texto completoIncludes bibliographical references (p. 37).
In this thesis, I looked at an extension of the Reed-Frost epidemic model which had two-sub-populations. By setting up a Markov chain to model the epidemic and finding the transition probabilities of that chain, MATLAB could be used to solve for the expected number of susceptibles and the expected duration. I simulated the model with more tan two sub-populations to find the average number of susceptibles and reviewed previously solved stochastic spatial models to understand how to solve the multiple-population Reed-Frost model on a network.
by Samantha Livingston.
M.Eng.
Sensi, Mattia. "A Geometric Singular Perturbation approach to epidemic compartmental models". Doctoral thesis, Università degli studi di Trento, 2021. http://hdl.handle.net/11572/286191.
Texto completoSensi, Mattia. "A Geometric Singular Perturbation approach to epidemic compartmental models". Doctoral thesis, Università degli studi di Trento, 2021. http://hdl.handle.net/11572/286191.
Texto completoRiad, Md Mahbubul Huq. "Modeling Japanese Encephalitis using interconnected networks for a hypothetical outbreak in the USA". Kansas State University, 2017. http://hdl.handle.net/2097/35379.
Texto completoDepartment of Electrical and Computer Engineering
Caterina Maria Scoglio
Japanese Encephalitis (JE) is a vector-borne disease transmitted by mosquitoes and maintained in birds and pigs. An interconnected network model is proposed to examine the possible epidemiology of JE in the USA. Proposed JE model is an individual-level network model that explicitly considers the feral pig population and implicitly considers mosquitoes and birds in specific areas of Florida, North Carolina, and South Carolina. The virus transmission among feral pigs within a small geographic area (<60 sq mi areas) are modeled using two network topologies— fully connected and Erdos-Renyi networks. Connections between locations situated in different states (interstate links) are created with limited probability and based on fall and spring bird migration patterns. Simulation results obtained from the network models support the use of the Erdos-Renyi network because maximum incidence occurs during the fall migration period which is similar to the peak incidence of the closely related West Nile virus (WNV), another virus in the Japanese Encephalitis group (Flaviviridae) that is transmitted by both birds and mosquitoes. Simulation analysis suggested two important mitigation strategies: for low mosquito vectorial capacity, insecticidal spraying of infected areas reduces transmission and limits the outbreak to a single geographic area. Alternatively, in high mosquito vectorial capacity areas, birds rather than mosquitoes need to be removed/controlled.
Taylor, Michael. "Exact and approximate epidemic models on networks : theory and applications". Thesis, University of Sussex, 2013. http://sro.sussex.ac.uk/id/eprint/45258/.
Texto completoDavis, Ben. "Stochastic epidemic models on random networks : casual contacts, clustering and vaccination". Thesis, University of Nottingham, 2017. http://eprints.nottingham.ac.uk/47272/.
Texto completoPachas, Manrique Anna Patricia. "Modelos epidemiológicos em redes". reponame:Repositório Institucional do FGV, 2016. http://hdl.handle.net/10438/18662.
Texto completoApproved for entry into archive by Janete de Oliveira Feitosa (janete.feitosa@fgv.br) on 2017-08-03T17:52:37Z (GMT) No. of bitstreams: 1 20_02 (1).pdf: 1460371 bytes, checksum: e98c8f4713680550a770e8efcc7ffa14 (MD5)
Made available in DSpace on 2017-08-18T14:34:31Z (GMT). No. of bitstreams: 1 20_02 (1).pdf: 1460371 bytes, checksum: e98c8f4713680550a770e8efcc7ffa14 (MD5) Previous issue date: 2016-08-29
The speed and comprehensiveness global level with the pathogen has spread in recent years has drawn attention to the importance of the contact’s social network structure. In fact, the topology of the networks in which members of society interact has influenced the dynamics of epidemics. Studies have shown that pathogens when disiparem in scale-free networks have different effects when compared broadcast in random networks, such as the classic models. In these there were epidemic threshold, may somehow the health ministry have a control on the dissipation of diseases by applying certain measures such as vaccines. Already in models in which are considered the networks, specifically the free network scale, the threshold disappears. Thus, the epidemic threshold depends on the topology is required to include within this structure models Because of the importance of these networks, random networks and scalefree have been implemented along the epidemics of propagation models to check the epidemic threshold and the characteristic time, noting that the epidemic threshold disappears
A velocidade e a abrangência a nível mundial com que os agentes patogênicos tem se disseminado nos últimos anos tem chamado a atenção para a importância da estrutura da rede social de contato . De fato, a topologia das redes na qual os membros da sociedade interagem têm influenciado na dinâmica das epidemias.Estudos têm demostrado que os agentes patogênicos ao se dissiparem em redes livres de escala tem efeitos diferentes se comparado quando difundidos em redes aleatórias, como nos modelos clássicos. Nestes existiam limiar de epidemia ,podendo de alguma forma as entidades de saúde ter um controle sobre a dissipação das enfermidades , aplicando certas medidas como as vacinas por exemplo. Já nos modelos nos quais são consideradas as redes , especificamente a rede livre de escala,este limiar desaparece. Desta forma, o limiar de epidemia ao depender da topologia se faz necessário incluir esta estrutura dentro dos modelos epidemiológicos. Devido a importância destas redes , redes aleatórias e principalmente redes livres de escala foram implementadas junto a modelos de propagação de epidemias para verificar o limiar de epidemia e o tempo característico , verificando que o limiar de epidemia desaparece.
Nsoesie, Elaine O. "Sensitivity Analysis and Forecasting in Network Epidemiology Models". Diss., Virginia Tech, 2012. http://hdl.handle.net/10919/37620.
Texto completoPh. D.
Schumm, Phillip Raymond Brooke. "Characterizing epidemics in metapopulation cattle systems through analytic models and estimation methods for data-driven model inputs". Diss., Kansas State University, 2013. http://hdl.handle.net/2097/16897.
Texto completoDepartment of Electrical and Computer Engineering
Caterina Maria Scoglio
We have analytically discovered the existence of two global epidemic invasion thresholds in a directed meta-population network model of the United States cattle industry. The first threshold describes the outbreak of disease first within the core of the livestock system while the second threshold describes the invasion of the epidemic into a second class of locations where the disease would pose a risk for contamination of meat production. Both thresholds have been verified through extensive numerical simulations. We have further derived the relationship between the pair of thresholds and discovered a unique dependence on the network topology through the fractional compositions and the in-degree distributions of the transit and sink nodes. We then addressed a major challenge for epidemiologists and their efforts to model disease outbreaks in cattle. There is a critical shortfall in the availability of large-scale livestock movement data for the United States. We meet this challenge by developing a method to estimate cattle movement parameters from publicly available data. Across 10 Central States of the US, we formulated a large, convex optimization problem to predict the cattle movement parameters which, having minimal assumptions, provide the best fit to the US Department of Agriculture's Census database and follow constraints defined by scientists and cattle experts. Our estimated parameters can produce distributions of cattle shipments by head which compare well with shipment distributions also provided by the US Department of Agriculture. This dissertation concludes with a brief incorporation of the analytic models and the parameter estimation. We approximated the critical movement rates defined by the global invasion thresholds and compared them with the average estimated cattle movement rates to find a significant opportunity for epidemics to spread through US cattle populations.
Sutrave, Sweta. "Dynamic network models of a continental epidemic: soybean rust in the USA". Thesis, Kansas State University, 2010. http://hdl.handle.net/2097/4588.
Texto completoDepartment of Electrical and Computer Engineering
Karen A. Garrett
Caterina M. Scoglio
With rapid global movement of epidemics, research efforts to characterize dynamics of epidemics have gained much focus. Traditional epidemiological models have focused on only temporal components of epidemics. Development of spatio-temporal models proved to be a notable achievement in epidemiology. Network-based epidemiological models enable better handling of spatial and temporal components of an epidemic. Early network models considered a binary level of contact between infected entities, which is an idealistic approach. A realistic approach would use weighted edges which signify the level of interaction between the nodes where the edge-weights change over time as a function of environmental factors. Estimation of edge weights from observed time series is a relatively less explored area for network modeling. Dynamic networks make the problem more complicated as edge weights change over time. Estimation of parameters for models describing the edge weights as a function of variables that change in time has the potential to provide better general models. Soybean rust (caused by Phakopsora pachyrhizi) is an important disease globally and its occurrence in the US has been studied extensively since its introduction in 2004. Rust is a fungal disease which propagates as a result of the fungal spores being carried by the wind. In this thesis, a network network based model is proposed to predict the intensity of spread of the disease in space and time. This model uses the host abundance and wind data and the observed rust incidence time series to compute the edge-weights. Also, the edge-weights in the model change over time thus following a dynamic approach. In order to cut costs involved with the establishment and maintenance of infection monitoring sites, the effect of removal of monitoring nodes using various strategies has also been analyzed in this thesis. The model has been tested with observed soybean rust data from sentinel plot network from across the United States.
Kolgushev, Oleg. "Influence of Underlying Random Walk Types in Population Models on Resulting Social Network Types and Epidemiological Dynamics". Thesis, University of North Texas, 2016. https://digital.library.unt.edu/ark:/67531/metadc955128/.
Texto completoFerreira, Jackson Andrade. "Um modelo multiescalas de autômatos celulares para pandemia da dengue". Universidade Federal de Viçosa, 2009. http://locus.ufv.br/handle/123456789/4233.
Texto completoFundação de Amparo a Pesquisa do Estado de Minas Gerais
The dramatic resurgence and emergence of epidemic dengue and dengue hemorragic fever in the last two decades neatly define a global pandemic. The dispersion of dengue viruses combines local infections of humans bited by infective mosquitoes inside a city with long-range transmissions to non-infective vectors that feed the blood of infected people arriving from other urban areas. In the present work a cellular automata model for dengue epidemic is proposed and investigated through large-scale computer simulations. The model takes into account the main features concerning the population dynamics of mosquitoes and humans and the disease transmission cycle. Furthermore, the model is defined on a scale-free network in which each node is a square lattice in order to properly describe the environment as urban centers interconnected through a national transportation system. A nonzero epidemic threshold is found and it is approached with a power law behavior by the density of infected individuals, as observed in the small-world network of Watts and Strogatz. Also, it is studied the importance of three parameters for the dengue spreading: the diffusivity of the mosquitoes, the probability of a mosquito bites humans, and the travel's probability of people between two interconnected cities. Finally, maps of infected individuals are obtained in order to caracterise the epidemic spreading.
O dramático ressurgimento e a emergência da epidemia de dengue e dengue hemorrágica nas últimas duas décadas claramente definem uma pandemia global. A dispersão do vírus da dengue combina infecções locais dos seres humanos picados por mosquitos infectados dentro de uma cidade com transmissões de longo alcance por vetores não-infecciosos que se alimentam do sangue de pessoas infectadas provenientes de outras zonas urbanas. No presente trabalho um modelo de autômatos celulares para epidemias de dengue é proposto e investigado através de siulação por computador, em larga escala. O modelo leva em conta as principais características relativas à dinâmica das populações de mosquitos e seres humanos e o ciclo de transmissão da doença. Além disso, o modelo é definido em uma rede livre de escala, em que cada nó é uma rede quadrada, a fim de descrever adequadamente o meio ambiente como os centros urbanos interligados através do sistema de transporte nacional. Um limiar epidêmico diferente de zero é encontrado e é aproximado com um comportamento tipo lei de potência pela densidade de indivíduos infectados, como observado na rede mundo-pequeno de Watts-Strogatz. Também, é estudada a importância de três parâmetros na dispersão da dengue: a difusividade do mosquito, a probabilidade do mosquito picar um ser humano, e a probabilidade de viagem de pessoas entre duas cidades conectadas. Por fim, mapas de indivíduos infectados são obtidos a fim de caracterizar a difusão da epidemia.
Oleś, Katarzyna A. "Searching for the optimal control strategy of epidemics spreading on different types of networks". Thesis, University of Stirling, 2014. http://hdl.handle.net/1893/21199.
Texto completoTrimarchi, Biagio. "Distributed Identification of a Network Model for Pandemic Spreading". Master's thesis, Alma Mater Studiorum - Università di Bologna, 2021.
Buscar texto completoPinto, Eduardo Ribeiro. "Estudo da dinâmica de epidemias em Redes Complexas". Universidade Estadual Paulista (UNESP), 2018. http://hdl.handle.net/11449/153846.
Texto completoApproved for entry into archive by Sulamita Selma C Colnago null (sulamita@btu.unesp.br) on 2018-05-03T19:01:49Z (GMT) No. of bitstreams: 1 pinto_er_me_bot_int.pdf: 6068904 bytes, checksum: 4ff00adcd4667c6d7ed4bcfb5db2321a (MD5)
Made available in DSpace on 2018-05-03T19:01:49Z (GMT). No. of bitstreams: 1 pinto_er_me_bot_int.pdf: 6068904 bytes, checksum: 4ff00adcd4667c6d7ed4bcfb5db2321a (MD5) Previous issue date: 2018-02-23
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
Os Modelos Baseados em Indivíduos (MBI’s) têm sido crescentemente empregados na modelagem de processos infecciosos. Um MBI consiste de uma estrutura na qual ocorrem interações entre um certo número de indivíduos, cujo comportamento é determinado por um conjunto de características que evoluem estocasticamente no tempo. Estudos recentes têm mostrado que as redes complexas constituem um suporte natural para o estudo da propagação de uma doença. Redes complexas são descritas por um conjunto de vértices (nós), arestas (conexões, ligações ou links) e algum tipo de interação entre os mesmos. Na formulação original do MBI e em modelos SIR (Suscetível, Infectado e Recuperado) e SEI (Suscetível, Exposto e Infectado), as relações entre os indivíduos são representadas por grafos completos, ou seja, todos os indivíduos estão conectados entre si. Como a topologia de uma rede real não pode ser descrita por uma rede puramente aleatória, nesse trabalho o MBI foi implementado de forma a incorporar modelos mais realísticos de redes de contato na propagação de uma doença infecciosa. De maneira geral, observou-se que redes complexas com diferentes topologias resultam em curvas de indivíduos suscetíveis, infectados e recuperados (ou suscetíveis, expostos e infectados) com diferentes comportamentos, e desta forma, que a evolução de uma dada doença, em particular a tuberculose, é altamente sensível à topologia de rede utilizada. Mais especificamente, observou-se que quanto maior o valor do comprimento do salto médio, mais rápida será a propagação da doença e, consequentemente, maior será o número de indivíduos infectados.
Individual-Based Models have been increasingly employed in the modeling of an infectious process. An IBM consists of a structure in which interactions occur between a certain number of individuals, whose behavior is determined by a set of characteristics that evolve stochastically in time. Recent studies have shown that complex networks are a natural framework for the study of a disease spread. Complex networks are described by a set of vertices (or nodes), edges (connections or links) and some type of interactions between them. In the original IBM approach and in SIR (Susceptible, Infected, Recovered) and SEI (Susceptible, Exposed and Infected) models, the relations between individuals are represented by complete graphs, that is, all individuals are connected to each other. Since the topology of a real network can not be described by a purely random network, in this work an IBM has been implemented in order to incorporate some realistic contact networks xvii models. In general, it was observed that complex networks with different topologies correspond to curves of susceptible, infected and recovered individuals (or susceptible, exposed and infected) with different behaviors, and thus, that the evolution of a given disease, in particular tuberculosis, is highly sensitive to a network topology. More specifically, it was observed that the higher the value of the mean jump length is, the faster the disease spreads and consequently, the higher is the number of infected individuals.
Ismailov, Alexej. "Network Monitoring in Delay Tolerant Network". Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-174053.
Texto completoEtt avbrottstolerant nätverk (DTN) är ett glest nät där konnektiviteten avgörs av närheten bland de rörliga noderna i nätverket. Avbrotten i ett sådant nät förekommer ofta och sporadiskt. Eftersom nätverksresurserna oftast är begränsade i sådana sammanhang, så är det lämpligt att övervaka nätverket för att göra det möjligt att fatta mer effektiva kommunikationsbeslut. Det här arbetet undersöker olika routingalgoritmer och övervakningsvektyg för DTN med hänsyn till de krav som ställs av ett taktiskt nät. En modell för att uppskatta fördröjningen från källa till destination är framtagen i arbetet. Modellen är utvärderad med hjälp av en Javabaserad mjukvarusimulator som heter The ONE. För att bäst representera den miljö som uppstår i militära sammanhang är två scenarion framtagna. Det första är ett truppscenario där nodernar rör sig i fromationer och nättrafiken följer den hierarkiska modellen som används i militär kommunikation. Det andra scenariot är ett konvojscenario där enheter marcherar på led. Resultaten från denna studie visar att den föreslagna modellen kan öka andelen levererade meddelanden och minska nätverksbelastningen i en miljö där bufferstorleken hos noderna är begränsad. Uppskattningen visade sig fungera bäst i scenarion som innehöll någon form av mönster bland nodernas rörelse eller deras kommunikation. Dessa mönster återspeglas i modellens insamlade data och modellen kan förse användaren med en grov estimering av slutfördröjningen till alla destinationer i nätet. Modellen har i huvudsak använts till att minska antalet gamla meddelanden i nätet, men arbetet berör även andra användningsområden som anomalidetektion.
Nassani, Sararose. "An Application of Statistics and Random Graphs to Analyze Local Heroin Markets". Case Western Reserve University School of Graduate Studies / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=case155440032815001.
Texto completoCorley, Courtney David. "Social Network Simulation and Mining Social Media to Advance Epidemiology". Thesis, University of North Texas, 2009. https://digital.library.unt.edu/ark:/67531/metadc11053/.
Texto completoSchimit, Pedro Henrique Triguis. "Modelagem e controle de propagação de epidemias usando autômatos celulares e teoria de jogos". Universidade de São Paulo, 2010. http://www.teses.usp.br/teses/disponiveis/3/3139/tde-05122011-153541/.
Texto completoThe spreading of contagious diseases is studied by using susceptible-infected-recovered (SIR) models represented by ordinary differential equations (ODE) and by probabilistic cellular automata (PCA) connected by random networks. Each individual (cell) of the PCA lattice experiences the influence of others, where the probability of occurring interaction with the nearest ones is higher. Simulations for investigating how the disease propagation is affected by the coupling topology of the population are performed. The numerical results obtained with the model based on randomly connected PCA are compared to the results obtained with the model described by ODE. It is concluded that considering the topological structure of the population can pose difficulties for characterizing the disease, from the observation of the time evolution of the number of infected individuals. It is also concluded that isolating a few infected subjects can cause the same effect than isolating many susceptible individuals. Furthermore, a vaccination strategy based on game theory is analyzed. In this game, the government tries to minimize the expenses for controlling the epidemic. As consequence, the government implements quasi-periodic vaccination campaigns.
Segovia, Silvero Juan. "Robustness against large-scale failures in communications networks". Doctoral thesis, Universitat de Girona, 2011. http://hdl.handle.net/10803/70008.
Texto completoEsta tesis estudia la robustez contra fallos de gran escala en redes de comunicaciones. Si los fallos son aislados, usualmente pasan inadvertidos para los usuarios gracias al uso de mecanismos de recuperación. Sin embargo, tales mecanismos no son efectivos contra fallos múltiples de gran escala. Los fallos de gran escala pueden causar grandes pérdidas económicas. Un requisito clave a la hora de diseñar mecanismos efectivos para reducir los efectos negativos es la habilidad de evaluar la robustez de la red. Esta tesis se centra en redes multinivel que poseen planos de control y de datos separados. La mayoría de las medidas de robustez existentes no capturan correctamente la verdadera degradación de los servicios en tales escenarios porque basan la evaluación en propiedades puramente topológicas. Una de las contribuciones de esta tesis es una nueva métrica de robustez funcional. La dinámica de los fallos se modela desde la perspectiva de la propagación de epidemias, para lo cual un nuevo modelo epidémico es propuesto. Otra contribución es una taxonomía de los fallos múltiples de gran escala, adaptado a las necesidades y uso del campo de las redes de comunicaciones.
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.
Texto completoThis 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
Meharouech, Ali Amira. "Wireless body-to-body sensor networks : optimization models and algorithms". Thesis, Sorbonne Paris Cité, 2016. http://www.theses.fr/2016USPCB122/document.
Texto completoMotivated 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. (...)
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.
Texto completoMotivated 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. (...)
Hui, Zi. "Spatial structure of complex network and diffusion dynamics". Thesis, Le Mans, 2013. http://www.theses.fr/2013LEMA1005/document.
Texto completoIn the recent development of network sciences, spatial constrained networks have become an object of extensive investigation. Spatial constrained networks are embedded in configuration space. Their structures and dynamics are influenced by spatial distance. This is proved by more and more empirical data on real Systems showing exponential or power laws spatial distance distribution of links. In this dissertation, we focus on the structure of spatial network with power law spatial distribution. Several mechanisms of structure formation and diffusion dynamics on these networks are considered. First we propose an evolutionary network constructed in the configuration space with a competing mechanism between the degree and the spatial distance preferences. This mechanism is described by a ki + (1 — a), where ki is the degree of node i and rni is the spatial distance between nodes n and i. By adjusting parameter a, the network can be made to change continuously from the spatial driven network (a = 0) to the scale-free network (a = 1). The topological structure of our model is compared to the empirical data from email network with good agreement. On this basis, we focus on the diffusion dynamics on spatial driven network (a = 0). The first model we used is frequently employed in the study of epidemie spreading : the spatial susceptible-infected-susceptible (SIS) model. Here the spreading rate between two connected nodes is inversely proportional to their spatial distance. The result shows that the effective spreading time increases with increasing a. The existence of generic epidemic threshold is observed, whose value dépends on parameter a. The maximum épidemic threshold and the minimum stationary ratio of infected nodes simultaneously locate in the interval 1.5 < a < 2. Since the spatial driven network has well defined spatial distance, this model offers an occasion to study the diffusion dynamics by using the usual techniques of statistical mechanics. First, considering the fact that the diffusion is anomalous in general due to the important long-range spreading, we introduce a composite diffusion coefficient which is the sum of the usual diffusion constant D of the Fick's laws applied over different possible transfer distances on the network. As expected, this composite coefficient decreases with increasing a and is a good measure of the efficiency of the diffusion. Our second approach to this anomalous diffusion is to calculate the mean square displacement (l²) to identify a diffusion constant D' and the degree of thé anomalousness y with the help of the power law {l²} = 4D'ty. D' behaviors in the same way as D, i.e., it decreases with increasing a. y is smaller than unity (subdiffusion) and tends to one (normal diffusion) as a increases
Kandhway, Kundan. "Optimal Control of Information Epidemics in Homogeneously And Heterogeneously Mixed Populations". Thesis, 2016. http://etd.iisc.ac.in/handle/2005/2670.
Texto completoKandhway, Kundan. "Optimal Control of Information Epidemics in Homogeneously And Heterogeneously Mixed Populations". Thesis, 2016. http://etd.iisc.ernet.in/handle/2005/2670.
Texto completoLin, Yu-Chen y 林煜程. "Epidemic Model in Well-Mixed Multiplex Network with Distributed Time Delay". Thesis, 2017. http://ndltd.ncl.edu.tw/handle/5bvh2e.
Texto completo國立交通大學
應用數學系數學建模與科學計算碩士班
105
In this paper, we consider an epidemic model in well-mixed multiplex networks with distributed time delay. Specifically, the model consists of two layers of well-mixed networks, where two diffusive processes on the same individual interacting and affecting each other. We assume that there is a distributed time delay for an individual getting infected and no delay for an individual changing one’s status from unawareness to awareness. There are three possible equilibria E1, E2 and E3, called disease and information free equilibrium, disease free and information saturated equilibrium and endemic and information saturated equilibrium, in this model. Our main result contain the following. First, we prove the uniform persistence of the model for parameter region yielding E3. Second, it is shown that E1 is globally stable for any time delay. Third, we prove that E2 is globally stable for any time delay. Finally, With help of the uniform persistence, we shoe that there exists a H*>0 such that E3 is globally stable for time delay less than H*.
Huang, Yi-Jie y 黃義傑. "A study of a network-based SIS epidemic model with saturated treatment rate". Thesis, 2017. http://ndltd.ncl.edu.tw/handle/w43b3u.
Texto completo國立高雄師範大學
數學系
105
In recent years, infectious diseases have become a serious problem and have increased morbidity and mortality of individuals around the world. Thus, studying the spreading dynamics of the infectious diseases is a relevant issue. In this thesis, we will investigate an epidemic model which is composed of a system of ordinary differential equations. To fit for reality, complex network topology and saturated incidence rate are incorporated into the model. Besides, we know that the resources of treatment may be limited, and this implies that the recovery from infective individuals will reach a maximum. Therefore, we will study a network-based SIS epidemic model with saturated incidence and treatment rates. Existence and stability of the equilibria of the epidemic model will be analyzed. Interestingly, we find that incorporating the saturated treatment rate may cause the existence of two endemic equilibria. Numerical simulations will be given to demonstrate the theoretical results.
Shiller, Elisabeth. "EVOLVING CONTACT NETWORKS TO ANALYZE EPIDEMIC BEHAVIOUR AND STUDYING THE EFFECTS OF VACCINATION". Thesis, 2012. http://hdl.handle.net/10214/5266.
Texto completoOntario Graduate Scholarship (OGS), Natural Sciences and Engineering Research Council of Canada (NSERC)
"Study of an Epidemic Multiple Behavior Diffusion Model in a Resource Constrained Social Network". Master's thesis, 2013. http://hdl.handle.net/2286/R.I.20967.
Texto completoDissertation/Thesis
M.S. Computer Science 2013
Moraes, Alvaro. "Simulation and Statistical Inference of Stochastic Reaction Networks with Applications to Epidemic Models". Diss., 2015. http://hdl.handle.net/10754/344375.
Texto completoChen, Chi-Hweng y 陳祈宏. "A distribution model of epidemic prevention goods in epidemic prevention network of the infectious diseases – a case study of Severe Acute Respiratory Syndrome". Thesis, 2005. http://ndltd.ncl.edu.tw/handle/24103452916490972473.
Texto completo國立雲林科技大學
工業工程與管理研究所碩士班
93
When the infectious diseases outbreak, it always be endemic in a short time because people don’t pay attention to epidemic prevention goods. For example, Severe Acute Respiratory Syndrome causes about eight thousands and four hundreds suspect cases and eight hundreds people death in the world from World Health Organization identified the infectious diseases. In the same time everyone has live in the menace of infectious diseases and no people know what is the best methods of control infectious diseases. And hospitals of medical treatment of infectious diseases don’t have enough epidemic prevention goods and the vendor of epidemic prevention goods also can’t provide good service of epidemic prevention goods distribution. So our research plan focus on “ inventory routing problem “ of epidemic prevention goods. We introduce “ Vendor Management Inventory “ , ”Epidemic Propagation Model” and the “ Fuzzy Theory ” to develop a distribution model of epidemic prevention goods. And we can make sure epidemic prevention goods could be supply enough and management health of medical professional. Through the research outcome, we can find that in the situation of taking total logistic operation cost as master achievement index, we provide distribution model of epidemic prevention goods created by our research is obviously better than the method at present. We also can find that our distribution model of epidemic prevention goods has superior expression in the combinations of different hospitals of medical treatment of infectious diseases quantities and items of epidemic prevention goods quantities scale.
Hsu, Hui-Yu y 許卉瑀. "Analysis of Information Delivery Dynamics in Cognitive Radio Ad Hoc Networks Using Epidemic Models". Thesis, 2015. http://ndltd.ncl.edu.tw/handle/34067141204704547126.
Texto completo國立臺灣科技大學
資訊工程系
103
Over the past decade cognitive radio (CR) is introduced to increase spectrum efficiency, however it on the other hand burdens the interference control between unlicensed secondary users (SUs) and primary users (PUs). In CR ad hoc networks (CRAHNs), such considerations in interference control become more complicated, where SUs adopt dynamic spectrum access and power adjustment to ensure sufficient operation of PUs, and the inevitably increasing latency poses new challenges on reliability of end-to-end communications. To guarantee operations of primary systems while fully optimizing system performance in CRAHNs, this thesis proposes interference-aware flooding schemes exploiting global timeout and vaccine recovery schemes to control the heavy buffer occupancy induced by packet replications. The information delivery dynamics of SUs under the proposed interference-aware recovery-assisted flooding schemes is analyzed via epidemic models and stochastic geometry from a macroscopic view of the entire system. The simulation results show that our model can efficiently capture the complicated data delivery dynamics in CRAHN in terms of end-to-end transmission reliability and buffer occupancy. Consequently this thesis sheds new light on analysis of recovery-assisted flooding schemes in CRAHN.
Bansal, Khandelwal Shweta 1980. "Ecology of infectious diseases with contact networks and percolation theory". Thesis, 2008. http://hdl.handle.net/2152/3910.
Texto completoΠαπαφράγκος, Κωνσταντίνος. "Αναπαράσταση και προσομοίωση σύνθετων δικτύων για ανάλυση χαρακτηριστικών ασφαλείας". Thesis, 2013. http://hdl.handle.net/10889/6411.
Texto completoA basic characteristic of contemporary days is the boom of the Internet either in terms of users or in terms of services rendered. Therefore, there is an imperative need to protect the network and computational systems from various threats which can render them vulnerable. However, for the full protection of these systems, it is required in the first place to get to know the type, the identity and the propagation mode of the threat. Of significant use has proved to be the development and the pursuit of models capable of describing quite effectively the way a threat is spread. The pursuit of such models constitutes nowadays a significant sector of research, including, but not limited to the academic community. The intention of the present diploma thesis is the simulation and study of the basic epidemic models SI, SIR, SIS and SIRS. These models are inspired from the science of Biology, and they are widely used nowadays for the modeling of the spread of various threats in computer networks such as viruses and worms. This dissertation consists of five chapters. In the first chapter, there is taking place the presentation of wireless sensor networks and there is also a description of their structure and their basic characteristics. In the second chapter there is a presentation of the basic types of malicious software that can hit a computational system. There is also reference to the characteristics of malicious software that affect their propagation. The third chapter attempts to introduce the concept on epidemiology in computer systems, analyzing mainly the particularities characterizing her. In addition, this chapter presents some basic epidemic models, referring both to their basic characteristics and their mode of operation. The fourth chapter, which is also the most significant one of the present thesis, is dedicated to the presentation of the tool OPNET Modeler that we used too in the thorough description of the simulation of the models SI, SIR, SIS and SIRS that we carried out for a wireless sensor network. It is taking place the presentation of the network’s operation mode with a simultaneous explanation of the code that was developed. Moreover, there are presented and analyzed the results of the simulation when at the same time are also described the conclusions that were derived from the present simulation. Finally, in the fifth chapter, there is a reference to some basic conclusions in which we were led, where there are also described fields concerning the study of malicious software propagation in a computational network, which can studied further in the future.
Venkataramanan, Srinivasan. "Influence Dynamics on Social Networks". Thesis, 2014. http://etd.iisc.ac.in/handle/2005/3114.
Texto completoVenkataramanan, Srinivasan. "Influence Dynamics on Social Networks". Thesis, 2014. http://hdl.handle.net/2005/3114.
Texto completoTasi, Ming Chi y 蔡明其. "Using Network-Oriented Epidemic Model to Simulate the Transmission Dynamics of Novel Influenza and Assess the Efficacy of Prevention Intervention Strategies". Thesis, 2008. http://ndltd.ncl.edu.tw/handle/47j2ec.
Texto completo長庚大學
資訊工程學研究所
96
WHO forecasts that there will be two billion people throughout the world catch the Novel Influenza when it becomes popular again, and the death rate will approach to one hundred percent. Although, we can not predict when and what kind of novel infection will invade Taiwan or how it threaten people’s lives, health seriously. Infection situation report from WHO and CDC shows that the novel infection is more and more close to us without warning. As a result, we need to set up a Novel Influenza Network-Oriented Epidemic Model before it become popular next time. We want to use this model to discuss the Efficacy of Prevention Intervention Strategies, and to know the better applying strategy, testee, and timing. We make use of Bipartite Graph, Social mirror identity in our research to show the relation between people and places; also try to set up the network we use in daily life for special usage on computer modeling. We integrate Daily Contact Network, Multi-agent System and SEIR infection condition model to make a Novel Influenza Network-Oriented Epidemic Model and a related Prevention Intervention Strategies. The research use the cases in the past three seasons in Taiwan as the proving document to prove the model is showing the correct Simulating Transmission Dynamics of seasoning influenza. At last, we discuss and compare the efficiency and effect on different Prevention Intervention Strategies to different novel influenza control by using this model.
Botha, Robert Anthony. "The James 1:27 trust programme : a case study of an information, communication and technology (ICT) response to orphans and vulnerable children in the context of an HIV and AIDS epidemic". Diss., 2010. http://hdl.handle.net/10500/3908.
Texto completoSocial Work
M.A. (Social Behaviour in HIV/AIDS))
(9741149), Lintao Ye. "Algorithmic and Graph-Theoretic Approaches for Optimal Sensor Selection in Large-Scale Systems". Thesis, 2020.
Buscar texto completo