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.
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.
Authors: Heloisa da Silveira Paro Pedro; Susilene Maria Tonelli Nardi; Maria Izabel Ferreira Pereira; Rosângela Siqueira Oliveira; Philip Noel Suffys; Harrison Magdinier Gomes; Amanda Juliane Finardi; Eloise Brasil de Moraes; Ida Maria Foschiani Dias Baptista; Ricardo Luiz Dantas Machado; Lilian Castiglioni Journal: Mem Inst Oswaldo Cruz Date: 2015-03-31 Impact factor: 2.743
Authors: Jennifer M Ross; Nathaniel J Henry; Laura A Dwyer-Lindgren; Andrea de Paula Lobo; Fatima Marinho de Souza; Molly H Biehl; Sarah E Ray; Robert C Reiner; Rebecca W Stubbs; Kirsten E Wiens; Lucas Earl; Michael J Kutz; Natalia V Bhattacharjee; Hmwe H Kyu; Mohsen Naghavi; Simon I Hay Journal: BMC Med Date: 2018-09-06 Impact factor: 8.775