Читать книгу New Horizons in Modeling and Simulation for Social Epidemiology and Public Health - Daniel Kim - Страница 26

Other key systems science approaches (not reviewed in this book) include system dynamics models and social network analysis (SNA). System dynamics models differ from ABM and MSM by aggregating factors and their interactions within endogenous systems to better understand high‐level phenomena such as the impacts of interventions and policies and their unintended consequences (Homer and Hirsch 2006). SNA studies the relationships between actors and entities—be they individuals, organizations, or countries. Like ABM, SNA can be useful in telescoping between the micro (individual) and the macroscales of analysis; yet unlike ABM, SNA does not always include dynamic simulation nor account for adaptation. Some forms of SNA overlap with ABM. SNA is widely used for understanding the transmission of infectious diseases such as HIV/AIDS and influenza, and the contagion of behaviors such as obesity and depression, since each of these can be transmitted socially (Christakis and Fowler 2007).