| Title: |
Mapping drug-resistant tuberculosis treatment outcomes in Hunan Province, China |
| Authors: |
Akalu, Temesgen Yihunie; Clements, Archie C. A.; Xu, Zuhui; Bai, Liqiong; Alene, Kefyalew Addis |
| Source: |
Akalu, T Y, Clements, A C A, Xu, Z, Bai, L & Alene, K A 2025, 'Mapping drug-resistant tuberculosis treatment outcomes in Hunan Province, China', Tropical medicine and infectious disease, vol. 10, no. 1, 3. https://doi.org/10.3390/tropicalmed10010003 |
| Publication Year: |
2025 |
| Collection: |
Queen's University Belfast: Research Portal |
| Subject Terms: |
tuberculosis; drug-resistant; China; drug-resistant tuberculosis; /dk/atira/pure/sustainabledevelopmentgoals/good_health_and_well_being; name=SDG 3 - Good Health and Well-being |
| Description: |
Background: Drug-resistant tuberculosis (DR-TB) remains a major public health challenge in China, with varying treatment outcomes across different regions. Understanding the spatial distribution of DR-TB treatment outcomes is crucial for targeted interventions to improve treatment success in high-burden areas such as Hunan Province. This study aimed to map the spatial distribution of DR-TB treatment outcomes at a local level and identify sociodemographic and environmental factors associated with poor treatment outcomes in Hunan Province, China. Methods: A spatial analysis was conducted using DR-TB data from the Tuberculosis Control Institute of Hunan Province, covering the years 2013 to 2018. The outcome variable, the proportion of poor treatment outcomes, was defined as a composite measure of treatment failure, death, and loss to follow-up. Sociodemographic, economic, healthcare, and environmental variables were obtained from various sources, including the WorldClim database, the Malaria Atlas Project, and the Hunan Bureau of Statistics. These covariates were linked to a map of Hunan Province and DR-TB notification data using R software version 4.4.0. The spatial clustering of poor treatment outcomes was analyzed using the local Moran’s I and Getis–Ord statistics. A Bayesian logistic regression model was fitted, with the posterior parameters estimated using integrated nested Laplace approximation (INLA). Results: In total, 1381 DR-TB patients were included in the analysis. An overall upward trend in poor DR-TB treatment outcomes was observed, peaking at 14.75% in 2018. Deaths and treatment failures fluctuated over the years, with a notable increase in deaths from 2016 to 2018, while the proportion of patients lost to follow-up significantly declined from 2014 to 2018. The overall proportion of poor treatment outcomes was 9.99% (95% credible interval (CI): 8.46% to 11.70%), with substantial spatial clustering, particularly in Anxiang (50%), Anren (50%), and Chaling (42.86%) counties. The proportion of city-level ... |
| Document Type: |
article in journal/newspaper |
| File Description: |
application/pdf |
| Language: |
English |
| ISSN: |
2414-6366 |
| Relation: |
info:eu-repo/semantics/altIdentifier/pissn/2414-6366; info:eu-repo/semantics/altIdentifier/eissn/2414-6366 |
| DOI: |
10.3390/tropicalmed10010003 |
| Availability: |
https://pure.qub.ac.uk/en/publications/89c59f6e-c074-4dc3-8318-c838954c7447; https://doi.org/10.3390/tropicalmed10010003; https://pureadmin.qub.ac.uk/ws/files/625935792/tropicalmed-10-00003.pdf |
| Rights: |
info:eu-repo/semantics/openAccess ; http://creativecommons.org/licenses/by/4.0/ |
| Accession Number: |
edsbas.53A5EEF0 |
| Database: |
BASE |