DocumentCode
2781148
Title
Exploring HIV/AIDS epidemic complex network of IDU using ABM and GIS
Author
Cui, Qingxiong ; Wang, Jun ; Tan, Junxiang ; Li, Jiangrong ; Yang, Kun
Author_Institution
Fac. of Tourism & Geographic Sci., Yunnan Normal Univ., Kunming, China
fYear
2009
fDate
17-19 June 2009
Firstpage
1090
Lastpage
1095
Abstract
Injecting drug use(IDU) has been the dominant route for HIV infection in China, especially in Yunnan province and the HIV epidemic is a complex phenomenon in the world today. The most profound factor in the proliferation of this disease is the aggregate effects of individual behavior and perception of risk. Agent-based modeling (ABM) is the dominant paradigm in social complex network simulation which allows one to simulate the complex systems emerge from the bottom-up are composed of a multitude of heterogeneous objects called agents. Using this framework, we construct a simplified IDU interior network and social network that represents Yunnan province use ABM and loosely coupled with geographic information system (GIS). Yunnan has the special geographical position in the southwest of China which neighbor the notability "golden triangle" and has the multiracial characterize. Such that ideas of behavior change, stigma reduction, and safe sex practices may spread very slowly because of low-income, low level of education and cultural practice. The results of model simulation are close to the realistic infected data, and also show the future epidemic data of HIV prevalence by explore the in-depth relationships between the networks and HIV related behaviors. ABM facilitate the development of network-based public health interventions.
Keywords
complex networks; digital simulation; diseases; drugs; geographic information systems; medical computing; multi-agent systems; social networking (online); ABM; China; GIS; HIV/AIDS epidemic; IDU; Yunnan province; agent-based modeling; behavior change; geographic information system; injecting drug use; network-based public health intervention; safe sex practice; social complex network simulation; stigma reduction; Acquired immune deficiency syndrome; Aggregates; Complex networks; Cultural differences; Diseases; Drugs; Geographic Information Systems; Human immunodeficiency virus; Public healthcare; Social network services; Agent-based modeling(ABM); Complex social network; Geographic Information System(GIS); HIV spread; Intravenous drug use(IDU);
fLanguage
English
Publisher
ieee
Conference_Titel
Control and Decision Conference, 2009. CCDC '09. Chinese
Conference_Location
Guilin
Print_ISBN
978-1-4244-2722-2
Electronic_ISBN
978-1-4244-2723-9
Type
conf
DOI
10.1109/CCDC.2009.5191828
Filename
5191828
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