Your browser doesn't support javascript.

Biblioteca Virtual em Saúde

Brasil

Home > Pesquisa > ()
Imprimir Exportar

Formato de exportação:

Exportar

Email
Adicionar mais destinatários
| |

Análise espacial da co-infecção tuberculose/HIV: relação com níveis socioeconômicos em município do sudeste do Brasil. / [Spatial analysis of tuberculosis/HIV coinfection: its relation with socioeconomic levels in a city in south-eastern Brazil].

Vendramini, Silvia Helena Figueiredo; Santos, Natália Sperli Geraldes Marin Dos; Santos, Maria de Lourdes Sperli Geraldes; Chiaravalloti-Neto, Francisco; Ponce, Maria Amélia Zanon; Gazetta, Claudia Eli; Villa, Tereza Cristina Scatena; Netto, Antonio Ruffino.
Rev Soc Bras Med Trop; 43(5): 536-41, 2010 Sep-Oct.
Artigo em Português | MEDLINE | ID: mdl-21085865

INTRODUCTION:

Spatial analysis of the distribution of tuberculosis/HIV coinfection was performed and associated with socioeconomic indicators in São José do Rio Preto, from 1998 to 2006.

METHODS:

New TB/HIV coinfection cases were georeferenced and incidence coefficients were calculated for spatial units. Moran's index was used to evaluate spatial associations of incidences. Multiple regressions selected variables that could best explain the spatial association of incidences. The local indicator of spatial association was used to identify significant spatial groupings.

RESULTS:

Moran's index was 0.0635 (p=0.0000) indicating that the incidence association occurred. The variable that best explained the spatial association of incidence was the percentage of heads of families with up to three years of education. The LISA cluster map for TB/HIV coinfection incidence coefficients showed groups with high incidence rates in the North and low incidence in the South and West regions of the municipality.

CONCLUSIONS:

The study elucidated the spatial geographic distribution of TB/HIV coinfection and determined its association with socioeconomic variables, thus providing data for oriented planning, prioritizing socially disadvantaged regions that present a higher incidence of the disease.
Selo DaSilva