Abstract
The main goal this paper is to describe a software simulating spatiotemporal 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). © Springer-Verlag Berlin Heidelberg 2006.
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CITATION STYLE
Gagliardi, H. F., Da Silva, F. A. B., & Alves, D. (2006). Automata network simulator applied to the epidemiology of urban dengue fever. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3993 LNCS-III, pp. 297–304). Springer Verlag. https://doi.org/10.1007/11758532_41
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