Risk-prone territories for spreading tuberculosis, temporal trends and their determinants in a high burden city from São Paulo State, Brazil
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , , , , , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10174/32265 https://doi.org/Berra, T.Z., Ramos, A.C.V., Arroyo, L.H. et al. Risk-prone territories for spreading tuberculosis, temporal trends and their determinants in a high burden city from São Paulo State, Brazil. BMC Infect Dis 22, 515 (2022). https://doi.org/10.1186/s12879-022-07500-5 https://doi.org/10.1186/s12879-022-07500-5 |
Resumo: | To identify risk-prone areas for the spread of tuberculosis, analyze spatial variation and temporal trends of the disease in these areas and identify their determinants in a high burden city. An ecological study was carried out in Ribeirão Preto, São Paulo, Brazil. The population was composed of pulmonary tuberculosis cases reported in the Tuberculosis Patient Control System between 2006 and 2017. Seasonal Trend Decomposition using the Loess decomposition method was used. Spatial and spatiotemporal scanning statistics were applied to identify risk areas. Spatial Variation in Temporal Trends (SVTT) was used to detect risk-prone territories with changes in the temporal trend. Finally, Pearson's Chi-square test was performed to identify factors associated with the epidemiological situation in the municipality. |
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Risk-prone territories for spreading tuberculosis, temporal trends and their determinants in a high burden city from São Paulo State, BrazilTuberculosisTime series analysiscluster analysisTo identify risk-prone areas for the spread of tuberculosis, analyze spatial variation and temporal trends of the disease in these areas and identify their determinants in a high burden city. An ecological study was carried out in Ribeirão Preto, São Paulo, Brazil. The population was composed of pulmonary tuberculosis cases reported in the Tuberculosis Patient Control System between 2006 and 2017. Seasonal Trend Decomposition using the Loess decomposition method was used. Spatial and spatiotemporal scanning statistics were applied to identify risk areas. Spatial Variation in Temporal Trends (SVTT) was used to detect risk-prone territories with changes in the temporal trend. Finally, Pearson's Chi-square test was performed to identify factors associated with the epidemiological situation in the municipality.BMC Infectious Diseases. Part of Springer Nature2022-07-05T11:16:09Z2022-07-052022-06-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/10174/32265https://doi.org/Berra, T.Z., Ramos, A.C.V., Arroyo, L.H. et al. Risk-prone territories for spreading tuberculosis, temporal trends and their determinants in a high burden city from São Paulo State, Brazil. BMC Infect Dis 22, 515 (2022). https://doi.org/10.1186/s12879-022-07500-5http://hdl.handle.net/10174/32265https://doi.org/10.1186/s12879-022-07500-5enghttps://bmcinfectdis.biomedcentral.com/articles/10.1186/s12879-022-07500-5ndndndndndndndndndndndndndnd239Zamboni Berra, ThaísVieira Ramos, AntônioArroyo, Luiz HenriqueDelpino, FelipeAlmeida Crispim, JulianeMathias Alves, YanLima dos Santos, FelipePaulino da Costa, FernandaSouza dos Santos, MárcioSeles Alves, LuanaFiorati, ReginaMonroe, AlineGomes, DulceArcêncio, Ricardo Alexandreinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-01-03T19:32:35Zoai:dspace.uevora.pt:10174/32265Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T01:21:14.362724Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Risk-prone territories for spreading tuberculosis, temporal trends and their determinants in a high burden city from São Paulo State, Brazil |
title |
Risk-prone territories for spreading tuberculosis, temporal trends and their determinants in a high burden city from São Paulo State, Brazil |
spellingShingle |
Risk-prone territories for spreading tuberculosis, temporal trends and their determinants in a high burden city from São Paulo State, Brazil Zamboni Berra, Thaís Tuberculosis Time series analysis cluster analysis |
title_short |
Risk-prone territories for spreading tuberculosis, temporal trends and their determinants in a high burden city from São Paulo State, Brazil |
title_full |
Risk-prone territories for spreading tuberculosis, temporal trends and their determinants in a high burden city from São Paulo State, Brazil |
title_fullStr |
Risk-prone territories for spreading tuberculosis, temporal trends and their determinants in a high burden city from São Paulo State, Brazil |
title_full_unstemmed |
Risk-prone territories for spreading tuberculosis, temporal trends and their determinants in a high burden city from São Paulo State, Brazil |
title_sort |
Risk-prone territories for spreading tuberculosis, temporal trends and their determinants in a high burden city from São Paulo State, Brazil |
author |
Zamboni Berra, Thaís |
author_facet |
Zamboni Berra, Thaís Vieira Ramos, Antônio Arroyo, Luiz Henrique Delpino, Felipe Almeida Crispim, Juliane Mathias Alves, Yan Lima dos Santos, Felipe Paulino da Costa, Fernanda Souza dos Santos, Márcio Seles Alves, Luana Fiorati, Regina Monroe, Aline Gomes, Dulce Arcêncio, Ricardo Alexandre |
author_role |
author |
author2 |
Vieira Ramos, Antônio Arroyo, Luiz Henrique Delpino, Felipe Almeida Crispim, Juliane Mathias Alves, Yan Lima dos Santos, Felipe Paulino da Costa, Fernanda Souza dos Santos, Márcio Seles Alves, Luana Fiorati, Regina Monroe, Aline Gomes, Dulce Arcêncio, Ricardo Alexandre |
author2_role |
author author author author author author author author author author author author author |
dc.contributor.author.fl_str_mv |
Zamboni Berra, Thaís Vieira Ramos, Antônio Arroyo, Luiz Henrique Delpino, Felipe Almeida Crispim, Juliane Mathias Alves, Yan Lima dos Santos, Felipe Paulino da Costa, Fernanda Souza dos Santos, Márcio Seles Alves, Luana Fiorati, Regina Monroe, Aline Gomes, Dulce Arcêncio, Ricardo Alexandre |
dc.subject.por.fl_str_mv |
Tuberculosis Time series analysis cluster analysis |
topic |
Tuberculosis Time series analysis cluster analysis |
description |
To identify risk-prone areas for the spread of tuberculosis, analyze spatial variation and temporal trends of the disease in these areas and identify their determinants in a high burden city. An ecological study was carried out in Ribeirão Preto, São Paulo, Brazil. The population was composed of pulmonary tuberculosis cases reported in the Tuberculosis Patient Control System between 2006 and 2017. Seasonal Trend Decomposition using the Loess decomposition method was used. Spatial and spatiotemporal scanning statistics were applied to identify risk areas. Spatial Variation in Temporal Trends (SVTT) was used to detect risk-prone territories with changes in the temporal trend. Finally, Pearson's Chi-square test was performed to identify factors associated with the epidemiological situation in the municipality. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-07-05T11:16:09Z 2022-07-05 2022-06-01T00:00:00Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10174/32265 https://doi.org/Berra, T.Z., Ramos, A.C.V., Arroyo, L.H. et al. Risk-prone territories for spreading tuberculosis, temporal trends and their determinants in a high burden city from São Paulo State, Brazil. BMC Infect Dis 22, 515 (2022). https://doi.org/10.1186/s12879-022-07500-5 http://hdl.handle.net/10174/32265 https://doi.org/10.1186/s12879-022-07500-5 |
url |
http://hdl.handle.net/10174/32265 https://doi.org/Berra, T.Z., Ramos, A.C.V., Arroyo, L.H. et al. Risk-prone territories for spreading tuberculosis, temporal trends and their determinants in a high burden city from São Paulo State, Brazil. BMC Infect Dis 22, 515 (2022). https://doi.org/10.1186/s12879-022-07500-5 https://doi.org/10.1186/s12879-022-07500-5 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://bmcinfectdis.biomedcentral.com/articles/10.1186/s12879-022-07500-5 nd nd nd nd nd nd nd nd nd nd nd nd nd nd 239 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.publisher.none.fl_str_mv |
BMC Infectious Diseases. Part of Springer Nature |
publisher.none.fl_str_mv |
BMC Infectious Diseases. Part of Springer Nature |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
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RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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1799136694045245440 |