A standard form of citation of this article is:
Alam, Shah Jamal, Meyer, Ruth, Ziervogel, Gina and Moss, Scott (2007). 'The Impact of HIV/AIDS in the Context of Socioeconomic Stressors: an Evidence-Driven Approach'. Journal of Artificial Societies and Social Simulation 10(4)7 <https://www.jasss.org/10/4/7.html>.
The following can be copied and pasted into a Bibtex bibliography file, for use with the LaTeX text processor:
@article{alam2007,
title = {The Impact of HIV/AIDS in the Context of Socioeconomic Stressors: an Evidence-Driven Approach},
author = {Alam, Shah Jamal and Meyer, Ruth and Ziervogel, Gina and Moss, Scott},
journal = {Journal of Artificial Societies and Social Simulation},
ISSN = {1460-7425},
volume = {10},
number = {4},
pages = {7},
year = {2007},
URL = {https://www.jasss.org/10/4/7.html},
keywords = {Agent-Based Social Simulation, Evidence-Driven Modeling, Socioeconomic Stressors, HIV/AIDS Impact},
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.},
}The following can be copied and pasted into a text file, which can then be imported into a reference database that supports imports using the RIS format, such as Reference Manager and EndNote.
TY - JOUR
TI - The Impact of HIV/AIDS in the Context of Socioeconomic Stressors: an Evidence-Driven Approach
AU - Alam, Shah Jamal
AU - Meyer, Ruth
AU - Ziervogel, Gina
AU - Moss, Scott
Y1 - 2007/10/31
JO - Journal of Artificial Societies and Social Simulation
SN - 1460-7425
VL - 10
IS - 4
SP - 7
UR - https://www.jasss.org/10/4/7.html
KW - Agent-Based Social Simulation
KW - Evidence-Driven Modeling
KW - Socioeconomic Stressors
KW - HIV/AIDS Impact
N2 - 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.
ER -