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Please use this identifier to cite or link to this item:
http://hdl.handle.net/10174/32265
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| Title: | Risk-prone territories for spreading tuberculosis, temporal trends and their determinants in a high burden city from São Paulo State, Brazil |
| Authors: | 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 |
| Editors: | Gonzalez Lopez, Adrian |
| Keywords: | Tuberculosis
Time series analysis
cluster analysis |
| Issue Date: | Jun-2022 |
| Publisher: | BMC Infectious Diseases. Part of Springer Nature |
| Citation: | 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 |
| Abstract: | 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. |
| URI: | https://bmcinfectdis.biomedcentral.com/articles/10.1186/s12879-022-07500-5
http://hdl.handle.net/10174/32265 |
| Type: | article |
| Appears in Collections: | CIMA - Publicações - Artigos em Revistas Internacionais Com Arbitragem Científica
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