STAR Modeling of Pulmonary Tuberculosis Delay-Time in Diagnosis
Understanding what characterizes patients who suffer great delays in diagnosis of pulmonary tuberculosis is of great importance when establishing screening strategies to better control TB. Greater delays in diagnosis imply a higher chance for susceptible individuals to become infected by a bacillife...
| Main Author: | |
|---|---|
| Other Authors: | , , , , , |
| Format: | bookPart |
| Language: | por |
| Published: |
2017
|
| Subjects: | |
| Online Access: | http://hdl.handle.net/10174/19769 |
| Country: | Portugal |
| Oai: | oai:dspace.uevora.pt:10174/19769 |
| Summary: | Understanding what characterizes patients who suffer great delays in diagnosis of pulmonary tuberculosis is of great importance when establishing screening strategies to better control TB. Greater delays in diagnosis imply a higher chance for susceptible individuals to become infected by a bacilliferous patient. A Structured Additive Regression model is attempted in this study in order to potentially contribute to a better characterization of bacilliferous prevalence in Portugal. The main findings suggest the existence of significant regional differences in Portugal, with the fact of being female and/or alcohol dependent contributing to an increased delay-time in diagnosis, while being dependent on intravenous drugs and/or being diagnosed with HIV are factors that increase the chance of an earlier diagnosis of pulmonary TB. A decrease in 2010 to 77% on treatment success in Portugal underlines the importance of conducting more research aimed at better TB control strategies. |
|---|