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Zhang D, Li H, Zheng C, Han J, Li H, Liu Y, Wang X, Jia L, Li S, Li T, Zhang B, Chen L, Yang Z, Gan Y, Zhong Y, Li J, Zhao J, Li L. Analysis of HIV-1 molecular transmission network reveals the prevalence characteristics of three main HIV-1 subtypes in Shenzhen, China. J Infect 2022; 85:e190-e192. [PMID: 36031153 DOI: 10.1016/j.jinf.2022.08.024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2022] [Accepted: 08/19/2022] [Indexed: 11/25/2022]
Affiliation(s)
- Dong Zhang
- Department of Virology, State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing 100071, China
| | - Hanping Li
- Department of Virology, State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing 100071, China
| | - Chenli Zheng
- Shenzhen Center for Disease Control and Prevention, Shenzhen, Guangdong 518055, China
| | - Jingwan Han
- Department of Virology, State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing 100071, China
| | - Hao Li
- Shenzhen Center for Disease Control and Prevention, Shenzhen, Guangdong 518055, China
| | - Yongjian Liu
- Department of Virology, State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing 100071, China
| | - Xiaolin Wang
- Department of Virology, State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing 100071, China
| | - Lei Jia
- Department of Virology, State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing 100071, China
| | - Siqi Li
- Department of Virology, State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing 100071, China
| | - Tianyi Li
- Department of Virology, State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing 100071, China
| | - Bohan Zhang
- Department of Virology, State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing 100071, China
| | - Lin Chen
- Shenzhen Center for Disease Control and Prevention, Shenzhen, Guangdong 518055, China
| | - Zhengrong Yang
- Shenzhen Center for Disease Control and Prevention, Shenzhen, Guangdong 518055, China
| | - Yongxia Gan
- Shenzhen Center for Disease Control and Prevention, Shenzhen, Guangdong 518055, China
| | - Yifan Zhong
- Shenzhen Center for Disease Control and Prevention, Shenzhen, Guangdong 518055, China
| | - Jingyun Li
- Department of Virology, State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing 100071, China.
| | - Jin Zhao
- Shenzhen Center for Disease Control and Prevention, Shenzhen, Guangdong 518055, China.
| | - Lin Li
- Department of Virology, State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing 100071, China.
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Izumi K, Murase Y, Uchimura K, Kaebeta A, Ishihara K, Kaguraoka S, Takii T, Ohkado A. Transmission of tuberculosis and predictors of large clusters within three years in an urban setting in Tokyo, Japan: a population-based molecular epidemiological study. BMJ Open 2019; 9:e029295. [PMID: 31076478 PMCID: PMC6527980 DOI: 10.1136/bmjopen-2019-029295] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/18/2022] Open
Abstract
OBJECTIVE Molecular epidemiology is a promising tool for understanding tuberculosis transmission dynamics but has not been sufficiently utilised in Asian countries including Japan. The aim of this study was to estimate the proportion of TB cases attributable to recent transmission and to identify risk factors of genotype clustering and the development of large clusters within 3 years in an urban setting in Japan. DESIGN AND SETTING Long-term cross-sectional observational study combining the characteristics of patients with culture-positive TB notified in Shinjuku City, Tokyo (2002-2013), with genotype data of Mycobacterium tuberculosis. PRIMARY OUTCOME MEASURE: Genotype clustering rate and association between genotype clustering status and explanatory variables. RESULTS Among 1025 cases, 515 were localised within 113 genotype clusters. The overall clustering rate was 39.2%. Significantly higher rates were found in patients aged <40 years (adjusted odds ratio (aOR)=1.73, 95% CI 1.23 to 2.44), native Japanese individuals (aOR=3.90, 95% CI 2.27 to 6.72), full-time workers (aOR=1.63, 95% CI 1.17 to 2.27), part-time/daily workers (aOR=2.20, 95% CI 1.35 to 3.58), individuals receiving public assistance (aOR=1.81, 95% CI 1.15 to 2.84) and homeless people (aOR=1.63, 95% CI 1.02 to 2.62). A significant predictor of large genotype clusters within 3 years was a registration interval ≤2 months between the first two cases in a cluster. CONCLUSION Our results indicated that a large proportion of patients with culture-positive TB were involved in the recent TB transmission chain. Foreign-born persons still have a limited impact on transmission in the Japanese urban setting. Intensified public health interventions, including the active case finding, need to focus on individuals with socioeconomic risk factors that are significantly associated with tuberculosis transmission and clusters with shorter registration intervals between the first two cases.
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Affiliation(s)
- Kiyohiko Izumi
- Department of Epidemiology and Clinical Research, The Research Institute of Tuberculosis, Kiyose, Japan
| | - Yoshiro Murase
- Department of Mycobacterium Reference and Research, The Research Institute of Tuberculosis, Kiyose, Japan
| | - Kazuhiro Uchimura
- Department of Epidemiology and Clinical Research, The Research Institute of Tuberculosis, Kiyose, Japan
| | - Aya Kaebeta
- Health Department, Shinjuku Public Health Center, Shinjuku, Japan
| | - Keiko Ishihara
- Health Department, Shinjuku Public Health Center, Shinjuku, Japan
| | - Sumi Kaguraoka
- Health Department, Shinjuku Public Health Center, Shinjuku, Japan
| | - Takemasa Takii
- Department of Mycobacterium Reference and Research, The Research Institute of Tuberculosis, Kiyose, Japan
| | - Akihiro Ohkado
- Department of Epidemiology and Clinical Research, The Research Institute of Tuberculosis, Kiyose, Japan
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