Epidemiology and Networks, M.Sc. Thesis Sharif University of Technology ; Haji Sadeghi, Mir Omid (Supervisor) ; Razvan, Mahammad Reza (Supervisor)
Abstract
Networks and the epidemiology of directly transmitted infectious diseases are fun-damentally linked. The foundations of epidemiology and early epidemiological models were based on population wide random-mixing, but in practice each individual has a finite set of contacts to whom they can pass infection; the ensemble of all such contacts forms a network. Knowledge of the structure of the network allows models to compute the epidemic dynamics at the population scale from the individual-level behaviour of infections.Motivated by the analysis of social networks, we study a model of random net-works that has both a given degree distribution and a tunable clustering coefficient.We consider two...
Cataloging briefEpidemiology and Networks, M.Sc. Thesis Sharif University of Technology ; Haji Sadeghi, Mir Omid (Supervisor) ; Razvan, Mahammad Reza (Supervisor)
Abstract
Networks and the epidemiology of directly transmitted infectious diseases are fun-damentally linked. The foundations of epidemiology and early epidemiological models were based on population wide random-mixing, but in practice each individual has a finite set of contacts to whom they can pass infection; the ensemble of all such contacts forms a network. Knowledge of the structure of the network allows models to compute the epidemic dynamics at the population scale from the individual-level behaviour of infections.Motivated by the analysis of social networks, we study a model of random net-works that has both a given degree distribution and a tunable clustering coefficient.We consider two...
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