Automata Network Simulator Applied to the Epidemiology of Urban Dengue Fever
The main goal this paper is to describe a software simulating spatio-temporal Dengue epidemic spread based on the utilization of a generalized probabilistic cellular automata computational analysis as the dynamic model of spatial epidemiology. This epidemic spatial model permits to reproduce explicitly the interaction of two types of transmission mechanisms in terms of global and local variables, which in turn can be adjusted to simulate respectively the populational mobility and geographical neighborhood contacts. The resulting virtual laboratory was designed to run spatio-temporal simulation of the Dengue disease spreading based on local and global interactions among two distinct populations (humans and mosquitoes).
KeywordsCellular Automaton Cellular Automaton Cellular Automaton Model Visualization Module Probabilistic Cellular Automaton
- 3.Focks, D.A., et al.: A simulation model of the epidemiology of urban dengue fever: Literature analysis, model development, preliminary validation, and samples of simulation results. American Journal of Tropical Medicine and Hygiene 53, 489–506 (1995)Google Scholar
- 4.Stefano, B., Fukś, H., Lawniczak, A.T.: Object-Oriented Implementation of CA/LGCA Modelling Applied To the Spread of Epidemics. In: Canadian Conference on Electrical and Computer Engineering, vol. 1, pp. 26–31. IEEE, Los Alamitos (2000)Google Scholar