文章基本信息

标题：How many AIDS epidemics can occur in São Paulo city?
本地全文：下载
作者：Breno Souza de Aguiar ; Cassia Maria Buchalla ; Francisco Chiaravalloti 等
期刊名称：Revista de Saúde Pública
印刷版ISSN：0034-8910
出版年度：2018
卷号：52
DOI：10.11606/S1518-8787.2018052000006
语种：English
出版社：Universidade de São Paulo
摘要：ABSTRACTOBJECTIVEAn ecological study describring the spatial characteristics of AIDS in São Paulo city between 2001 and 2010 according to the place of residence of reported cases in adults.METHODSThe AIDS reported cases (28,146), grouped by sex, were geocodified (25,969) and linked with a census tract database (18,953). Case and population at risk data supplied spatial cluster identification and relative risk estimate by the scan method, using the discrete Poisson model. Incidence rate and proportional distribution allowed comparing people living in the high-risk clusters areas to other locations by age, race/ethnicity, schooling and transmission category.RESULTSThe AIDS incidence rate decreased in both sexes except among young men and older people. The identification of spatial high-risk clusters showed that the decrease of AIDS did not occur in the same way in the city. Clusters located in the central area presented the highest AIDS incidence rates (245.7/100,000 men), especially among black women (RR = 7.9), men who have sex with men (66.2%) and injection drug users (10.7%) participation. In peripheral clusters, identified only in the female population, the epidemic can be related to the poverty of these women (22.5% low education level). Residents in the north and central-south areas of the city are generally black, with little schooling, and predominantly heterosexually infected.CONCLUSIONSThe study of spatial clusters using a census tract helps to determine epidemiological patterns inside the city and in specific populations. Spatial stratification and key population epidemiological patterns were identified in four regions in São Paulo city.
关键词：enAcquired Immunodeficiency Syndrome, epidemiologyRisk FactorsSocioeconomic FactorsCluster AnalysisSpatial Analysis