CSH Lecture Series on Network Inequality – with Pourya Toranj скачать в хорошем качестве

CSH Lecture Series on Network Inequality – with Pourya Toranj

"Network heterogeneity explains spatial heterogeneity in the ecology of pathogen strains" The homogeneity assumption refers to the assumption that all elements within a system exhibit similar characteristics. In the context of epidemiology, this might involve assuming that individuals generally have comparable contact networks or demonstrate identical levels of susceptibility to a specific disease. While homogeneous assumptions can lead us to simplistic yet informative models and predictions in some cases, many studies have shown how real-world heterogeneity can dramatically affect our expected outcomes. This is especially evident in epidemiology, where extensive research has shown how heterogeneity from various sources mediates the circulation of infectious diseases, prompting the need to adjust our public health strategies. In this presentation, Pourya discusses the impact of heterogeneity in social contact patterns on pandemic dynamics and how it can affect our estimation of viral characteristics. About Pourya Toranj: Pourya is currently a PhD candidate at IPLESP in Paris, investigating the interplay between viral ecology and human population structure, such as social contact networks and population mobility. His research interests include statistical inference, network science, and data analysis, particularly in the context of epidemiology. Pourya obtained his master's degree in the Physics of Complex Systems, where he explored network structures and their implications in various domains, including research on financial market interaction networks and analysis of their structural properties. Following his master's degree, he worked as a data scientist in a consulting company, leveraging his expertise to provide data-driven solutions across various sectors. Currently, Pourya is studying the effect of human contact networks on the interaction and co-circulation of different strains of pathogens, with a focus on SARS-CoV-2 variants. He examines how the structure and heterogeneity of contact networks shape the co-circulation and advantage of different variants of SARS-CoV-2. Through his work, Pourya aims to contribute to our understanding of epidemiological phenomena and to inform public health interventions through rigorous statistical analysis and modeling approaches. Learn more about the Complexity Science Hub: https://csh.ac.at/   / complexity-science-hub     / cshvienna     / cshvienna     / cshvienna