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Spatial clustering of drug-resistant tuberculosis in Hunan province, China: an ecological study
OBJECTIVE: This study aimed to investigate the spatial distribution of drug-resistant tuberculosis (DR-TB) in Hunan province, China. METHODS: An ecological study was conducted using DR-TB data collected from the Tuberculosis Control Institute of Hunan Province between 2012 and 2018. Spatial clusteri...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BMJ Publishing Group
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8021748/ https://www.ncbi.nlm.nih.gov/pubmed/33795303 http://dx.doi.org/10.1136/bmjopen-2020-043685 |
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author | Alene, Kefyalew Addis Xu, Zuhui Bai, Liqiong Yi, Hengzhong Tan, Yunhong Gray, Darren Viney, Kerri Clements, Archie CA |
author_facet | Alene, Kefyalew Addis Xu, Zuhui Bai, Liqiong Yi, Hengzhong Tan, Yunhong Gray, Darren Viney, Kerri Clements, Archie CA |
author_sort | Alene, Kefyalew Addis |
collection | PubMed |
description | OBJECTIVE: This study aimed to investigate the spatial distribution of drug-resistant tuberculosis (DR-TB) in Hunan province, China. METHODS: An ecological study was conducted using DR-TB data collected from the Tuberculosis Control Institute of Hunan Province between 2012 and 2018. Spatial clustering of DR-TB was explored using the Getis-Ord statistic. A Poisson regression model was fitted with a conditional autoregressive prior structure, and with posterior parameters estimated using a Bayesian Markov chain Monte Carlo simulation, to quantify associations with possible risk factors and identify clusters of high DR-TB risk. RESULTS: A total of 2649 DR-TB patients were reported to Hunan TB Control Institute between 2012 and 2018. The majority of the patients were male (74.8%, n=1983) and had a history of TB treatment (88.53%, n=2345). The proportion of extensively DR-TB among all DR-TB was 3.3% (95% CI 2.7% to 4.1%), which increased from 2.8% in 2012 to 4.4% in 2018. Of 1287 DR-TB patients with registered treatment outcomes, 434 (33.8%) were cured, 198 (15.3%) completed treatment, 92 (7.1%) died, 108 (8.3%) had treatment failure and 455 (35.3%) were lost to follow-up. Half (50.9%, n=655) had poor treatment outcomes. The annual cumulative incidence rate of notified DR-TB increased over time from 0.25 per 100 000 people in 2012 to 0.83 per 100 000 people in 2018. Substantial spatial heterogeneity was observed, and hotspots were detected in counties located in the North and East parts of Hunan province. The cumulative incidence of notified DR-TB was significantly associated with urban communities. CONCLUSION: The annual incidence of notified DR-TB increased over time in Hunan province. Spatial clustering of DR-TB was detected and significantly associated with urbanisation. This finding suggests that targeting interventions to the highest risk areas and population groups would be effective in reducing the burden and ongoing transmission of DR-TB. |
format | Online Article Text |
id | pubmed-8021748 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-80217482021-04-21 Spatial clustering of drug-resistant tuberculosis in Hunan province, China: an ecological study Alene, Kefyalew Addis Xu, Zuhui Bai, Liqiong Yi, Hengzhong Tan, Yunhong Gray, Darren Viney, Kerri Clements, Archie CA BMJ Open Epidemiology OBJECTIVE: This study aimed to investigate the spatial distribution of drug-resistant tuberculosis (DR-TB) in Hunan province, China. METHODS: An ecological study was conducted using DR-TB data collected from the Tuberculosis Control Institute of Hunan Province between 2012 and 2018. Spatial clustering of DR-TB was explored using the Getis-Ord statistic. A Poisson regression model was fitted with a conditional autoregressive prior structure, and with posterior parameters estimated using a Bayesian Markov chain Monte Carlo simulation, to quantify associations with possible risk factors and identify clusters of high DR-TB risk. RESULTS: A total of 2649 DR-TB patients were reported to Hunan TB Control Institute between 2012 and 2018. The majority of the patients were male (74.8%, n=1983) and had a history of TB treatment (88.53%, n=2345). The proportion of extensively DR-TB among all DR-TB was 3.3% (95% CI 2.7% to 4.1%), which increased from 2.8% in 2012 to 4.4% in 2018. Of 1287 DR-TB patients with registered treatment outcomes, 434 (33.8%) were cured, 198 (15.3%) completed treatment, 92 (7.1%) died, 108 (8.3%) had treatment failure and 455 (35.3%) were lost to follow-up. Half (50.9%, n=655) had poor treatment outcomes. The annual cumulative incidence rate of notified DR-TB increased over time from 0.25 per 100 000 people in 2012 to 0.83 per 100 000 people in 2018. Substantial spatial heterogeneity was observed, and hotspots were detected in counties located in the North and East parts of Hunan province. The cumulative incidence of notified DR-TB was significantly associated with urban communities. CONCLUSION: The annual incidence of notified DR-TB increased over time in Hunan province. Spatial clustering of DR-TB was detected and significantly associated with urbanisation. This finding suggests that targeting interventions to the highest risk areas and population groups would be effective in reducing the burden and ongoing transmission of DR-TB. BMJ Publishing Group 2021-04-01 /pmc/articles/PMC8021748/ /pubmed/33795303 http://dx.doi.org/10.1136/bmjopen-2020-043685 Text en © Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. http://creativecommons.org/licenses/by-nc/4.0/ http://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/. |
spellingShingle | Epidemiology Alene, Kefyalew Addis Xu, Zuhui Bai, Liqiong Yi, Hengzhong Tan, Yunhong Gray, Darren Viney, Kerri Clements, Archie CA Spatial clustering of drug-resistant tuberculosis in Hunan province, China: an ecological study |
title | Spatial clustering of drug-resistant tuberculosis in Hunan province, China: an ecological study |
title_full | Spatial clustering of drug-resistant tuberculosis in Hunan province, China: an ecological study |
title_fullStr | Spatial clustering of drug-resistant tuberculosis in Hunan province, China: an ecological study |
title_full_unstemmed | Spatial clustering of drug-resistant tuberculosis in Hunan province, China: an ecological study |
title_short | Spatial clustering of drug-resistant tuberculosis in Hunan province, China: an ecological study |
title_sort | spatial clustering of drug-resistant tuberculosis in hunan province, china: an ecological study |
topic | Epidemiology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8021748/ https://www.ncbi.nlm.nih.gov/pubmed/33795303 http://dx.doi.org/10.1136/bmjopen-2020-043685 |
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