Literature DB >> 15654464

[Tuberculosis in Brazil: construction of a territorially based surveillance system].

Wayner Vieira Souza1, Maria de Fátima Militão Albuquerque, Cristhovam Castro Barcellos, Ricardo Arraes de Alencar Ximenes, Marília Sá Carvalho.   

Abstract

OBJECTIVE: To analyze the occurrence of tuberculosis and to identify variables that define situations of collective risk that determine the spatial distribution of the disease, as backing for implementing a territory-based surveillance system for tuberculosis control.
METHODS: This was an ecological study performed in Olinda, a municipality in the metropolitan region of Recife, State of Pernambuco, between 1996 and 2000. The median number of notified tuberculosis cases in each census tract served as the cutoff point for characterizing areas of high and low transmission. A logistic regression model using this response variable allowed odds ratios for some socioeconomic variables from the 2000 demographic census and other covariates related to the transmission of the disease to be estimated.
RESULTS: Tuberculosis in Olinda presented high incidence rates during the study period (average of 111 cases per 100,000 inhabitants). Significant associations with the occurrence of tuberculosis were found for the variables of average number of inhabitants per household (OR=2.2; 95% CI: 1.3; 3.6); existence of families with more than one case during the study period (OR=5.1; 95% CI: 2.3; 11.3); and presence of cases of retreatment (OR=6.8; 95% CI: 2.7; 17.1). The census tract where the latter two events occurred accounted for 45% of the total number of cases during the study period, while representing only 28% of the population of Olinda.
CONCLUSIONS: The two explanatory covariates that were strongly associated with higher incidence rates of the disease are events that need to be carefully monitored at a local level by the tuberculosis surveillance system. Simply by mapping out retreatment cases and households with more than one case, attention could be focused on small areas with high priority for intensive intervention, thus facing up to the tuberculosis problem.

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Mesh:

Year:  2005        PMID: 15654464     DOI: 10.1590/s0034-89102005000100011

Source DB:  PubMed          Journal:  Rev Saude Publica        ISSN: 0034-8910            Impact factor:   2.106


  6 in total

1.  Spatial patterns of pulmonary tuberculosis incidence and their relationship to socio-economic status in Vitoria, Brazil.

Authors:  E L N Maciel; W Pan; R Dietze; R L Peres; S A Vinhas; F K Ribeiro; M Palaci; R R Rodrigues; E Zandonade; J E Golub
Journal:  Int J Tuberc Lung Dis       Date:  2010-11       Impact factor: 2.373

2.  A dynamic analysis of tuberculosis dissemination to improve control and surveillance.

Authors:  Rita M Zorzenon dos Santos; Ana Amador; Wayner V de Souza; Maria Fatima P M de Albuquerque; Silvina Ponce Dawson; Antonio Ruffino-Netto; Carlos R Zárate-Bladés; Celio L Silva
Journal:  PLoS One       Date:  2010-11-30       Impact factor: 3.240

3.  Is it better to be rich in a poor area or poor in a rich area? A multilevel analysis of a case-control study of social determinants of tuberculosis.

Authors:  Ricardo Arraes de Alencar Ximenes; Maria de Fátima Pessoa Militão de Albuquerque; Wayner V Souza; Ulisses R Montarroyos; George T N Diniz; Carlos F Luna; Laura C Rodrigues
Journal:  Int J Epidemiol       Date:  2009-08-04       Impact factor: 7.196

4.  Spatial epidemiology and spatial ecology study of worldwide drug-resistant tuberculosis.

Authors:  Yunxia Liu; Shiwen Jiang; Yanxun Liu; Rui Wang; Xiao Li; Zhongshang Yuan; Lixia Wang; Fuzhong Xue
Journal:  Int J Health Geogr       Date:  2011-08-03       Impact factor: 3.918

5.  Spatial analysis of the tuberculosis treatment dropout, Buenos Aires, Argentina.

Authors:  María Belén Herrero; Silvina Arrossi; Silvina Ramos; Jose Ueleres Braga
Journal:  Rev Saude Publica       Date:  2015-08-07       Impact factor: 2.106

Review 6.  Path of infectious diseases in Brazil in the last 50 years: an ongoing challenge.

Authors:  Eliseu Alves Waldman; Ana Paula Sayuri Sato
Journal:  Rev Saude Publica       Date:  2016-12-22       Impact factor: 2.106

  6 in total

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