Designing and Developing an AIDS Transmission Management and Spatial Decision Support System Based on GIS

BACKGROUND: AIDS is a significant threat to global human health and raises many concerns with regards to social development. The prevention and control of the spread of this incurable disease is of utmost urgency with long-term efforts required to make it a reality. Our country is now at a pivotal time point in the fight against AIDS. Due to the increasing urgency in AIDS prevention, control, and treatment, we need to reexamine our approaches to tackling this disease from a scientific perspective. MOTIVATION: Designing and developing a powerful and user-friendly GIS which is data-rich and has a reasonable structure. This GIS should allow easy sharing of data while maintaining high data security in addition to being a highly scalable system that has the capability of monitoring and preventing AIDS transmission. RESULTS: The system is able to show the spread of AIDS and other aspects of the overall process by charts, virtual environments, and output files. Furthermore, the integration of ABM and GIS allows the system to predict future trends of the AIDS epidemic. Thus disease control departments can set different predictive and decision-making measures to control the impact of the AIDS epidemic spread more effectively.

[1]  Ashok Hanjagi,et al.  A Public Health Care Information System Using GIS and GPS: A Case Study of Shiggaon , 2007 .

[2]  Tshilidzi Marwala,et al.  Agent-based modelling: a case study in HIV epidemic , 2004, Fourth International Conference on Hybrid Intelligent Systems (HIS'04).

[3]  L. Zulu,et al.  HIV and AIDS in Africa: a geographic analysis at multiple spatial scales , 2010, GeoJournal.

[4]  Shah Jamal Alam,et al.  Using Agent-Based Modeling to Understand the Impact of HIV / AIDS in the Context of Socio-Economic Stressors , 2006 .

[5]  M. Goodchild,et al.  Geographic Information Systems and Science (second edition) , 2001 .

[6]  Matthew J. Berryman,et al.  Review of Software Platforms for Agent Based Models , 2008 .

[7]  Richard O. Djukpen.  Mapping the HIV/AIDS epidemic in Nigeria using exploratory spatial data analysis , 2012 .

[8]  A Study on Spatial Decision Support Systems for Epidemic Disease Prevention Based on ArcGIS , 2007 .

[9]  Tomoki Nakaya,et al.  Spatio-temporal modelling of the HIV epidemic in Japan based on the national HIV/AIDS surveillance , 2005, J. Geogr. Syst..

[10]  Liliana Perez,et al.  An agent-based approach for modeling dynamics of contagious disease spread , 2009, International journal of health geographics.

[11]  E. Kalipeni,et al.  Applications of geospatial analysis to surveillance data: a spatial examination of HIV/AIDS prevalence in Zambia , 2012 .

[12]  Tan Yue-jin.  Multiagent-Based Simulation of Disease Infection , 2004 .

[13]  Bas Vanmeulebrouk,et al.  Open source GIS for HIV/AIDS management , 2008, International journal of health geographics.

[14]  Lu Li,et al.  A CA-based epidemic model for HIV/AIDS transmission with heterogeneity , 2008, Ann. Oper. Res..

[15]  E. Kalipeni,et al.  A review of preventative efforts in the fight against HIV and AIDS in Africa , 2005 .