How many AIDS epidemics can occur in São Paulo city?
Autor(a) principal: | |
---|---|
Data de Publicação: | 2018 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Revista de Saúde Pública |
Texto Completo: | https://www.revistas.usp.br/rsp/article/view/146460 |
Resumo: | OBJECTIVE: An 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. METHODS: The 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. RESULTS: The 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. CONCLUSIONS: The 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 |
id |
USP-23_f2e030dc7a6371006eb763e92c1077d9 |
---|---|
oai_identifier_str |
oai:revistas.usp.br:article/146460 |
network_acronym_str |
USP-23 |
network_name_str |
Revista de Saúde Pública |
repository_id_str |
|
spelling |
How many AIDS epidemics can occur in São Paulo city?Acquired Immunodeficiency Syndromeepidemiology. Risk Factors. Socioeconomic Factors. Cluster Analysis. Spatial Analysis.OBJECTIVE: An 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. METHODS: The 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. RESULTS: The 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. CONCLUSIONS: The 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 cityUniversidade de São Paulo. Faculdade de Saúde Pública2018-05-22info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/xmlhttps://www.revistas.usp.br/rsp/article/view/14646010.11606/S1518-8787.2018052000006Revista de Saúde Pública; Vol. 52 (2018); 63Revista de Saúde Pública; Vol. 52 (2018); 63Revista de Saúde Pública; v. 52 (2018); 631518-87870034-8910reponame:Revista de Saúde Públicainstname:Universidade de São Paulo (USP)instacron:USPenghttps://www.revistas.usp.br/rsp/article/view/146460/140173https://www.revistas.usp.br/rsp/article/view/146460/148359Copyright (c) 2018 Revista de Saúde Públicainfo:eu-repo/semantics/openAccessAguiar, Breno Souza deBuchalla, Cassia MariaChiaravalloti Neto, Francisco2018-07-20T11:44:54Zoai:revistas.usp.br:article/146460Revistahttps://www.revistas.usp.br/rsp/indexONGhttps://www.revistas.usp.br/rsp/oairevsp@org.usp.br||revsp1@usp.br1518-87870034-8910opendoar:2018-07-20T11:44:54Revista de Saúde Pública - Universidade de São Paulo (USP)false |
dc.title.none.fl_str_mv |
How many AIDS epidemics can occur in São Paulo city? |
title |
How many AIDS epidemics can occur in São Paulo city? |
spellingShingle |
How many AIDS epidemics can occur in São Paulo city? Aguiar, Breno Souza de Acquired Immunodeficiency Syndrome epidemiology. Risk Factors. Socioeconomic Factors. Cluster Analysis. Spatial Analysis. |
title_short |
How many AIDS epidemics can occur in São Paulo city? |
title_full |
How many AIDS epidemics can occur in São Paulo city? |
title_fullStr |
How many AIDS epidemics can occur in São Paulo city? |
title_full_unstemmed |
How many AIDS epidemics can occur in São Paulo city? |
title_sort |
How many AIDS epidemics can occur in São Paulo city? |
author |
Aguiar, Breno Souza de |
author_facet |
Aguiar, Breno Souza de Buchalla, Cassia Maria Chiaravalloti Neto, Francisco |
author_role |
author |
author2 |
Buchalla, Cassia Maria Chiaravalloti Neto, Francisco |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Aguiar, Breno Souza de Buchalla, Cassia Maria Chiaravalloti Neto, Francisco |
dc.subject.por.fl_str_mv |
Acquired Immunodeficiency Syndrome epidemiology. Risk Factors. Socioeconomic Factors. Cluster Analysis. Spatial Analysis. |
topic |
Acquired Immunodeficiency Syndrome epidemiology. Risk Factors. Socioeconomic Factors. Cluster Analysis. Spatial Analysis. |
description |
OBJECTIVE: An 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. METHODS: The 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. RESULTS: The 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. CONCLUSIONS: The 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 |
publishDate |
2018 |
dc.date.none.fl_str_mv |
2018-05-22 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://www.revistas.usp.br/rsp/article/view/146460 10.11606/S1518-8787.2018052000006 |
url |
https://www.revistas.usp.br/rsp/article/view/146460 |
identifier_str_mv |
10.11606/S1518-8787.2018052000006 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://www.revistas.usp.br/rsp/article/view/146460/140173 https://www.revistas.usp.br/rsp/article/view/146460/148359 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2018 Revista de Saúde Pública info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2018 Revista de Saúde Pública |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf application/xml |
dc.publisher.none.fl_str_mv |
Universidade de São Paulo. Faculdade de Saúde Pública |
publisher.none.fl_str_mv |
Universidade de São Paulo. Faculdade de Saúde Pública |
dc.source.none.fl_str_mv |
Revista de Saúde Pública; Vol. 52 (2018); 63 Revista de Saúde Pública; Vol. 52 (2018); 63 Revista de Saúde Pública; v. 52 (2018); 63 1518-8787 0034-8910 reponame:Revista de Saúde Pública instname:Universidade de São Paulo (USP) instacron:USP |
instname_str |
Universidade de São Paulo (USP) |
instacron_str |
USP |
institution |
USP |
reponame_str |
Revista de Saúde Pública |
collection |
Revista de Saúde Pública |
repository.name.fl_str_mv |
Revista de Saúde Pública - Universidade de São Paulo (USP) |
repository.mail.fl_str_mv |
revsp@org.usp.br||revsp1@usp.br |
_version_ |
1800221799814791168 |