Epidemiology and Molecular Transmission Characteristics of HIV in the Capital City of Anhui Province in China

Hefei, Anhui province, is one of the cities in the Yangtze River Delta, where many people migrate to Jiangsu, Zhejiang and Shanghai. High migration also contributes to the HIV epidemic. This study explored the HIV prevalence in Hefei to provide a reference for other provinces and assist in the preve...

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Main Authors: Shan Zheng, Jianjun Wu, Zhongwang Hu, Mengze Gan, Lei Liu, Chang Song, Yanhua Lei, Hai Wang, Lingjie Liao, Yi Feng, Yiming Shao, Yuhua Ruan, Hui Xing
Format: Article
Language:English
Published: MDPI AG 2021-11-01
Series:Pathogens
Subjects:
Online Access:https://www.mdpi.com/2076-0817/10/12/1554
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author Shan Zheng
Jianjun Wu
Zhongwang Hu
Mengze Gan
Lei Liu
Chang Song
Yanhua Lei
Hai Wang
Lingjie Liao
Yi Feng
Yiming Shao
Yuhua Ruan
Hui Xing
author_facet Shan Zheng
Jianjun Wu
Zhongwang Hu
Mengze Gan
Lei Liu
Chang Song
Yanhua Lei
Hai Wang
Lingjie Liao
Yi Feng
Yiming Shao
Yuhua Ruan
Hui Xing
author_sort Shan Zheng
collection DOAJ
description Hefei, Anhui province, is one of the cities in the Yangtze River Delta, where many people migrate to Jiangsu, Zhejiang and Shanghai. High migration also contributes to the HIV epidemic. This study explored the HIV prevalence in Hefei to provide a reference for other provinces and assist in the prevention and control of HIV in China. A total of 816 newly reported people with HIV in Hefei from 2017 to 2020 were recruited as subjects. HIV subtypes were identified by a phylogenetic tree. The most prevalent subtypes were CRF07_BC (41.4%), CRF01_AE (38.1%) and CRF55_01B (6.3%). Molecular networks were inferred using HIV-TRACE. The largest and most active transmission cluster was CRF55_01B in Hefei’s network. A Chinese national database (50,798 sequences) was also subjected to molecular network analysis to study the relationship between patients in Hefei and other provinces. CRF55_01B and CRF07_BC-N had higher clustered and interprovincial transmission rates in the national molecular network. People with HIV in Hefei mainly transmitted the disease within the province. Finally, we displayed the epidemic trend of HIV in Hefei in recent years with the dynamic change of effective reproductive number (Re). The weighted overall Re increased rapidly from 2012 to 2015, with a peak value of 3.20 (95% BCI, 2.18–3.85). After 2015, Re began to decline and remained stable at around 1.80. In addition, the Re of CRF55_01B was calculated to be between 2.0 and 4.0 in 2018 and 2019. More attention needs to be paid to the rapid spread of CRF55_01B and CRF07_BC-N strains among people with HIV and the high Re in Hefei. These data provide necessary support to guide the targeted prevention and control of HIV.
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spelling doaj.art-818dc1d733f246d794c262513279e23d2023-11-23T10:00:34ZengMDPI AGPathogens2076-08172021-11-011012155410.3390/pathogens10121554Epidemiology and Molecular Transmission Characteristics of HIV in the Capital City of Anhui Province in ChinaShan Zheng0Jianjun Wu1Zhongwang Hu2Mengze Gan3Lei Liu4Chang Song5Yanhua Lei6Hai Wang7Lingjie Liao8Yi Feng9Yiming Shao10Yuhua Ruan11Hui Xing12State Key Laboratory of Infectious Disease Prevention and Control, National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, ChinaAnhui Provincial Center for Disease Control and Prevention, Hefei 230601, ChinaHefei Center for Disease Control and Prevention, Hefei 230061, ChinaState Key Laboratory of Infectious Disease Prevention and Control, National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, ChinaState Key Laboratory of Infectious Disease Prevention and Control, National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, ChinaState Key Laboratory of Infectious Disease Prevention and Control, National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, ChinaHefei Center for Disease Control and Prevention, Hefei 230061, ChinaHefei Center for Disease Control and Prevention, Hefei 230061, ChinaState Key Laboratory of Infectious Disease Prevention and Control, National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, ChinaState Key Laboratory of Infectious Disease Prevention and Control, National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, ChinaState Key Laboratory of Infectious Disease Prevention and Control, National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, ChinaState Key Laboratory of Infectious Disease Prevention and Control, National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, ChinaState Key Laboratory of Infectious Disease Prevention and Control, National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, ChinaHefei, Anhui province, is one of the cities in the Yangtze River Delta, where many people migrate to Jiangsu, Zhejiang and Shanghai. High migration also contributes to the HIV epidemic. This study explored the HIV prevalence in Hefei to provide a reference for other provinces and assist in the prevention and control of HIV in China. A total of 816 newly reported people with HIV in Hefei from 2017 to 2020 were recruited as subjects. HIV subtypes were identified by a phylogenetic tree. The most prevalent subtypes were CRF07_BC (41.4%), CRF01_AE (38.1%) and CRF55_01B (6.3%). Molecular networks were inferred using HIV-TRACE. The largest and most active transmission cluster was CRF55_01B in Hefei’s network. A Chinese national database (50,798 sequences) was also subjected to molecular network analysis to study the relationship between patients in Hefei and other provinces. CRF55_01B and CRF07_BC-N had higher clustered and interprovincial transmission rates in the national molecular network. People with HIV in Hefei mainly transmitted the disease within the province. Finally, we displayed the epidemic trend of HIV in Hefei in recent years with the dynamic change of effective reproductive number (Re). The weighted overall Re increased rapidly from 2012 to 2015, with a peak value of 3.20 (95% BCI, 2.18–3.85). After 2015, Re began to decline and remained stable at around 1.80. In addition, the Re of CRF55_01B was calculated to be between 2.0 and 4.0 in 2018 and 2019. More attention needs to be paid to the rapid spread of CRF55_01B and CRF07_BC-N strains among people with HIV and the high Re in Hefei. These data provide necessary support to guide the targeted prevention and control of HIV.https://www.mdpi.com/2076-0817/10/12/1554HIVmolecular networktransmission clustereffective reproductive number
spellingShingle Shan Zheng
Jianjun Wu
Zhongwang Hu
Mengze Gan
Lei Liu
Chang Song
Yanhua Lei
Hai Wang
Lingjie Liao
Yi Feng
Yiming Shao
Yuhua Ruan
Hui Xing
Epidemiology and Molecular Transmission Characteristics of HIV in the Capital City of Anhui Province in China
Pathogens
HIV
molecular network
transmission cluster
effective reproductive number
title Epidemiology and Molecular Transmission Characteristics of HIV in the Capital City of Anhui Province in China
title_full Epidemiology and Molecular Transmission Characteristics of HIV in the Capital City of Anhui Province in China
title_fullStr Epidemiology and Molecular Transmission Characteristics of HIV in the Capital City of Anhui Province in China
title_full_unstemmed Epidemiology and Molecular Transmission Characteristics of HIV in the Capital City of Anhui Province in China
title_short Epidemiology and Molecular Transmission Characteristics of HIV in the Capital City of Anhui Province in China
title_sort epidemiology and molecular transmission characteristics of hiv in the capital city of anhui province in china
topic HIV
molecular network
transmission cluster
effective reproductive number
url https://www.mdpi.com/2076-0817/10/12/1554
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