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The Impact of HIV/AIDS in the Context of Socioeconomic Stressors: an Evidence-Driven Approach

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Abstract

In this paper, we present an agent-based simulation model of the social impacts of HIV/AIDS in villages in the Sekhukhune district of the Limpopo province in South Africa. AIDS is a major concern in South Africa, not just in terms of disease spread but also in term of its impact on society and economic development. The impact of the disease cannot however be considered in isolation from other stresses, such as food insecurity, high climate variability, market fluctuations and variations in support from government and non-government sources. The model described in this paper focuses on decisions made at the individual and household level, based upon evidence from detailed case studies, and the different types of networks between these players that influence their decision making. Key to the model is that these networks are dynamic and co-evolving, something that has rarely been considered in social network analysis. The results presented here demonstrate how this type of simulation can aid better understanding of this complex interplay of issues. In turn, we hope that this will prove to be a powerful tool for policy development.

Suggested Citation

  • Shah Jamal Alam & Ruth Meyer & Gina Ziervogel & Scott Moss, 2007. "The Impact of HIV/AIDS in the Context of Socioeconomic Stressors: an Evidence-Driven Approach," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 10(4), pages 1-7.
    • Handle: RePEc:jas:jasssj:2007-26-2
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    References listed on IDEAS

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    1. Dorrit Posel & Daniela Casale, 2003. "What Has Been Happening To Internal Labour Migration In South Africa, 1993–1999?," South African Journal of Economics, Economic Society of South Africa, vol. 71(3), pages 455-479, September.
    2. Anne Case & Victoria Hosegood & Frances Lund, 2003. "The Reach of The South African Child Support Grant: Evidence from KwaZulu-Natal," Working Papers 254, Princeton University, Woodrow Wilson School of Public and International Affairs, Center for Health and Wellbeing..
    3. Stephen Younger, 2005. "Violence and Revenge in Egalitarian Societies," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 8(4), pages 1-11.
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    5. Scott Moss, 1998. "Critical Incident Management: an Empirically Derived Computational Model," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 1(4), pages 1-1.
    6. repec:pri:rpdevs:case_etal_childgrant.pdf is not listed on IDEAS
    7. Scott Moss & Bruce Edmonds, 2005. "Towards Good Social Science," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 8(4), pages 1-13.
    8. repec:pri:cheawb:case_etal_childgrant.pdf is not listed on IDEAS
    9. Linping Xiong & Xiuqiang Ma, 2007. "Forecasting China's Medical Insurance Policy for Urban Employees Using a Microsimulation Model," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 10(1), pages 1-8.
    10. repec:pri:rpdevs:case_etal_childgrant is not listed on IDEAS
    11. James Holland Jones & Mark S. Handcock, 2003. "Sexual contacts and epidemic thresholds," Nature, Nature, vol. 423(6940), pages 605-606, June.
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