A standard form of citation of this article is:
Dunham, Jill Bigley (2005). 'An Agent-Based Spatially Explicit Epidemiological Model in MASON'. Journal of Artificial Societies and Social Simulation 9(1)3 <https://www.jasss.org/9/1/3.html>.
The following can be copied and pasted into a Bibtex bibliography file, for use with the LaTeX text processor:
@article{dunham2005,
title = {An Agent-Based Spatially Explicit Epidemiological Model in MASON},
author = {Dunham, Jill Bigley},
journal = {Journal of Artificial Societies and Social Simulation},
ISSN = {1460-7425},
volume = {9},
number = {1},
pages = {3},
year = {2005},
URL = {https://www.jasss.org/9/1/3.html},
keywords = {Epidemiology, Social Networks, Agent-Based Simulation, MASON Toolkit},
abstract = {This paper outlines the design and implementation of an agent-based epidemiological simulation system. The system was implemented in the MASON toolkit, a set of Java-based agent-simulation libraries. This epidemiological simulation system is robust and extensible for multiple applications, including classroom demonstrations of many types of epidemics and detailed numerical experimentation on a particular disease. The application has been made available as an applet on the MASON web site, and as source code on the author's web site.},
}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 - An Agent-Based Spatially Explicit Epidemiological Model in MASON
AU - Dunham, Jill Bigley
Y1 - 2005/01/31
JO - Journal of Artificial Societies and Social Simulation
SN - 1460-7425
VL - 9
IS - 1
SP - 3
UR - https://www.jasss.org/9/1/3.html
KW - Epidemiology
KW - Social Networks
KW - Agent-Based Simulation
KW - MASON Toolkit
N2 - This paper outlines the design and implementation of an agent-based epidemiological simulation system. The system was implemented in the MASON toolkit, a set of Java-based agent-simulation libraries. This epidemiological simulation system is robust and extensible for multiple applications, including classroom demonstrations of many types of epidemics and detailed numerical experimentation on a particular disease. The application has been made available as an applet on the MASON web site, and as source code on the author's web site.
ER -