Complex networks and agent-based models of HIV epidemic

Authors	N. Zarrabi
Supervisors	P.M.A. Sloot
Award date	24-09-2013
Number of pages	142
Organisations	Faculty of Science (FNWI) - Informatics Institute (IVI)
Abstract	In this thesis, we explore the limits of multi-scale models by looking into the HIV data present at different scales (from molecular and cellular to epidemiological scales). We build data-driven models and perform network analysis in order to understand the dynamics of HIV epidemic at different spatio-temporal scales. We also introduce and define a new modeling methodology called "complex agent networks" (CANs), by combining complex networks and agent-based modeling techniques.
Document type	PhD thesis
Note	Research conducted at: Universiteit van Amsterdam
Language	English
Downloads	Thesis Front cover Title pages Contents 1: Introduction 2: Modeling HIV-1 intracellular replication 3: Combining epidemiological and genetic networks signifies the importance of early treatment in HIV-1 transmission 4: Combining social and genetic networks to study HIV transmission in mixed risk groups 5: Complex agent networks: An emerging approach for modeling complex systems 6: Summary and conclusions Samenvatting References Acknowledgments Bibliography Back cover
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