Spatial distribution and socioeconomic context of tuberculosis in Rio de Janeiro, Brazil

Bibliographic Data

ID10723372
AuthorsAlessandra Gonçalves Lisbôa Pereira (0000-0001-9919-4455, Ministério da Saúde, Brasil), Roberto Medronho (0000-0002-4617-6904, Universidade Federal do Rio de Janeiro), Roberto De Andrade Medronho (0000-0003-4073-3930, Universidade Federal do Rio de Janeiro), Claudia Caminha Escosteguy (0000-0003-0273-6911, Ministério da Saúde, Brasil), Luís Iván Ortiz Valencia (Universidade Federal do Rio de Janeiro), Mônica De Avelar Figueiredo Mafra Magalhães (0000-0002-6595-8274, Fundação Oswaldo Cruz)
Year2015
Volume49
Issue0
Pages1-8
Publication date2015-01-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueRevista de Saúde Pública (JOURNAL)
Journal identifiersISSN: 0034-8910 • E-ISSN: 0034-8910
PublisherFapUNIFESP (SciELO) (PUBLISHER)
DOI10.1590/s0034-8910.2015049005470
PMID26270014
OpenAlexW2205195410
SCIELO_PIDS0034-89102015000100234
LanguageEN
Citations received10
References cited11

OBJECTIVE To analyze the spatial distribution of risk for tuberculosis and its socioeconomic determinants in the city of Rio de Janeiro, Brazil. METHODS An ecological study on the association between the mean incidence rate of tuberculosis from 2004 to 2006 and socioeconomic indicators of the Censo Demográfico (Demographic Census) of 2000. The unit of analysis was the home district registered in the Sistema de Informação de Agravos de Notificação (Notifiable Diseases Information System) of Rio de Janeiro, Southeastern Brazil. The rates were standardized by sex and age group, and smoothed by the empirical Bayes method. Spatial autocorrelation was evaluated by Moran’s I. Multiple linear regression models were studied and the appropriateness of incorporating the spatial component in modeling was evaluated. RESULTS We observed a higher risk of the disease in some neighborhoods of the port and north regions, as well as a high incidence in the slums of Rocinha and Vidigal, in the south region, and Cidade de Deus, in the west. The final model identified a positive association for the variables: percentage of permanent private households in which the head of the house earns three to five minimum wages; percentage of individual residents in the neighborhood; and percentage of people living in homes with more than two people per bedroom. CONCLUSIONS The spatial analysis identified areas of risk of tuberculosis incidence in the neighborhoods of the city of Rio de Janeiro and also found spatial dependence for the incidence of tuberculosis and some socioeconomic variables. However, the inclusion of the space component in the final model was not required during the modeling process

Archaeology · Cartography · Context (archaeology) · Distribution (mathematics) · Environmental health · Geography · Population · Socioeconomic status · Socioeconomics · Sociology · Spatial distribution · Tuberculosis · Global Maternal and Child Health · HIV/AIDS Impact and Responses · Medicine · Tuberculosis Research and Epidemiology

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