Autor(es):
Rolim Scholze, Alessandro ; Alves, Josilene ; Zamboni Berra, Thaís ; Lima dos Santos, Felipe ; Vieira Ramos, Antônio ; Lima de Freitas, Giselle ; Galdino, Maria J. ; Meneguetti Pieri, Flávia ; Arcoverde, Marcos ; Pillon, Sandra ; Monroe, Aline ; Fronteira, Inês ; Gomes, Dulce ; Arcêncio, Ricardo Alexandre
Data: 2022
Identificador Persistente: http://hdl.handle.net/10174/32245
Origem: Repositório Científico da Universidade de Évora
Assunto(s): Tuberculose; Temporal Analysis; Spatial Analysis
Descrição
A cross-sectional study using data from the Brazilian Notifiable Diseases Information System was carried out. TB cases confirmed from 2014 to 2018 in prisons located in Paraná, Brazil, were selected. The Prais-Winsten procedure was performed to identify time trends by calculating monthly rates and the percentage of monthly variation. The Seasonal-Trend by Loess decomposition method was used to verify the time series and trends. The spatial association was verified with the Getis-Ord Gi* technique, and the risk areas were identified using spatial scan statistics.
