Author(s): Chakma, Bhaswar ; Gomes, Dulce ; Filipe, Patrícia A. ; Soares, Patrícia ; de Sousa, Bruno ; Nunes, Carla
Date: 2022
Persistent ID: http://hdl.handle.net/10174/32671
Origin: Repositório Científico da Universidade de Évora
Subject(s): Tuberculose; Temporal Analysis; Patient and health service delays; Inequalities
An exploratory analysis was performed, trends of both delays were studied, and 36 months forecasts were generated. We used the permutation test to test differences between groups and the Seasonal and Trend decomposition using Loess (STL) method and Autoregressive Integrated Moving Average (ARIMA) models for forecasting for both Health and Patient delays. We used data from notified PTB cases in mainland Portugal between 2008 and 2017, provided by the national surveillance system.
