Epidemiological characteristics of molecular transmission cluster among reported HIV/AIDS cases in Jiaxing city, Zhejiang province, 2017.
10.3760/cma.j.issn.0254-6450.2019.02.015
- VernacularTitle:浙江省嘉兴市2017年较大HIV分子传播簇病例流行病学特征分析
- Author:
M Y LUO
1
;
X H PAN
1
;
Q FAN
1
;
J F ZHANG
1
;
R GE
2
;
J JIANG
1
;
W J CHEN
1
Author Information
1. Department of AIDS/STD Prevention and Control, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, China.
2. Division of AIDS/TB Prevention and Control, Jiaxing Prefectural Center for Disease Control and Prevention, Jiaxing 314001, China.
- Publication Type:Journal Article
- Keywords:
HIV;
High risk transmitter;
Molecular transmission clusters
- MeSH:
Amplified Fragment Length Polymorphism Analysis;
China/epidemiology*;
Genes, pol;
Genotype;
HIV Infections/transmission*;
HIV-1/isolation & purification*;
Humans;
Molecular Epidemiology;
Phylogeny;
Polymerase Chain Reaction;
RNA, Viral/blood*;
Sexual Behavior;
pol Gene Products, Human Immunodeficiency Virus
- From:
Chinese Journal of Epidemiology
2019;40(2):202-206
- CountryChina
- Language:Chinese
-
Abstract:
Objective: To understand the epidemiological characteristics of one large HIV molecular transmission cluster in Jiaxing city, Zhejiang province, 2017 in order to select those people under high-risk and providing basis for programs on prevention. Methods: During 2017, newly diagnosed HIV/AIDS cases in this city were recruited. Plasma samples were collected from subjects, followed by RNA extraction, RT-PCR and nest-PCR for pol gene amplification, before being sequenced and aligned. Mega 6.0 software was used to construct phylogenetic tree, and Cytoscape 3.6.0 software was used to identify HIV molecular transmission clusters. Cases within the large transmission clusters were investigated, using a field-epidemiology-questionnaire. Data related to socio-demographics and previous sexual behaviors were collected and EpiData 3.0 and SPSS 20.0 software were used. Results: In the large transmission cluster with subtype identified as CRF07_BC, in Jiaxing, 2017, 26 cases of the total 30 cases were investigated. A total of 80.8% (21/26) could be identified as newly infected within the last two years and 30.8%(8/26) could be identified as newly infected within the last one year, including 22 cases infected locally. Among several infected cases who were at age 45 years or older, they admitted that they had experienced unprotected sexual contacts in local city for long time and having had more than 10 disclosed sexual contacts within the last two years at the local venues. Conclusions: This molecular cluster had been formed and scaled up quickly in recent two years, it has played an important role in promoting and scaling up the HIV transmission. Three cases identificed as high risk played an importantrde role in scaling up this cluster.
