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

Pereira AG, Medronho Rde A, Escosteguy CC, Valencia LI, Magalhães Mde A - Rev Saude Publica (2015)

Bottom Line: 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.However, the inclusion of the space component in the final model was not required during the modeling process.

View Article: PubMed Central - PubMed

Affiliation: Hospital Federal dos Servidores do Estado, Ministério da Saúde, Rio de Janeiro, RJ, Brasil.

ABSTRACT
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.

No MeSH data available.


Related in: MedlinePlus

Distribuição espacial da média da taxa de incidência de tuberculose, corrigida e padronizada por sexo e faixa etária (por 100.000 hab). Rio de Janeiro, RJ, 2004 a 2006.
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f01002: Distribuição espacial da média da taxa de incidência de tuberculose, corrigida e padronizada por sexo e faixa etária (por 100.000 hab). Rio de Janeiro, RJ, 2004 a 2006.

Mentions: As taxas padronizadas e corrigidas apontaram risco maior de adoecimento em alguns bairros da zona portuária e zona norte. Houve também grande incidência nas favelas da Rocinha e Vidigal, na zona sul, e Cidade de Deus, na zona oeste. A Rocinha, além de concentrar grande número absoluto de casos, também apresentou taxa de incidência muito elevada. A Figura 1 apresenta a distribuição espacial da média da taxa de incidência, padronizada por sexo e faixa etária e corrigida.


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

Pereira AG, Medronho Rde A, Escosteguy CC, Valencia LI, Magalhães Mde A - Rev Saude Publica (2015)

Distribuição espacial da média da taxa de incidência de tuberculose, corrigida e padronizada por sexo e faixa etária (por 100.000 hab). Rio de Janeiro, RJ, 2004 a 2006.
© Copyright Policy - open-access
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4544397&req=5

f01002: Distribuição espacial da média da taxa de incidência de tuberculose, corrigida e padronizada por sexo e faixa etária (por 100.000 hab). Rio de Janeiro, RJ, 2004 a 2006.
Mentions: As taxas padronizadas e corrigidas apontaram risco maior de adoecimento em alguns bairros da zona portuária e zona norte. Houve também grande incidência nas favelas da Rocinha e Vidigal, na zona sul, e Cidade de Deus, na zona oeste. A Rocinha, além de concentrar grande número absoluto de casos, também apresentou taxa de incidência muito elevada. A Figura 1 apresenta a distribuição espacial da média da taxa de incidência, padronizada por sexo e faixa etária e corrigida.

Bottom Line: 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.However, the inclusion of the space component in the final model was not required during the modeling process.

View Article: PubMed Central - PubMed

Affiliation: Hospital Federal dos Servidores do Estado, Ministério da Saúde, Rio de Janeiro, RJ, Brasil.

ABSTRACT
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.

No MeSH data available.


Related in: MedlinePlus