Title:	A Blower-like approach to predict the effectiveness of vaccines in a TB dynamic.
Authors:	FRONZA, C. F. ANSELMO, J. MARQUES, J. L. B. PINTARELLI, G. B. CASTRO, A. de
Affiliation:	CARLOS FREDERICO FRONZA, UFSC; JANIO ANSELMO, UFSC; JEFFERSON LUIZ BRUM MARQUES, UFSC; GUILHERME BRASIL PINTARELLI, UFSC; ALEXANDRE DE CASTRO, CNPTIA.
Date Issued:	2014
Citation:	International Journal of Engineering Research and Applications, Delhi, v. 4, n. 6, p. 233-238, June 2014.
Description:	In this paper we present an extension of an automata approach proposed by S. Blower (1998) to describe the tuberculosis progression in a bi-dimensional space. In our extended model, the vaccination was included as an inhibitory variable in order to study its influence on the behavior of the tuberculosis spread. Our simulations showed that the earlier the vaccine is administered in the population, the lower the number of infected individuals, as expected for an in vivo system. However, our results also indicated that although the usual vaccination processes help reducing the strength of infection, the disease is not extinct, remaining the endemic state at low levels. These results strongly suggest that further actions are needed to increase the effectiveness of immunizations.
Thesagro:	Tuberculose Simulação
NAL Thesaurus:	Tuberculosis Computer simulation
Keywords:	Cellular automata
Type of Material:	Artigo de periódico
Access:	openAccess
Appears in Collections:	Artigo em periódico indexado (CNPTIA)