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Tytuł:
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Combining molecular network analysis and field epidemiology to quantify local HIV transmission and highlight ongoing epidemics.
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Autorzy:
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Zhang J; Department of HIV/AIDS Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China.
Xu K; Department of HIV/AIDS Control and Prevention, Hangzhou Municipal Center for Disease Control and Prevention, Hangzhou, China.
Jiang J; Department of HIV/AIDS Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China.
Fan Q; Department of HIV/AIDS Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China.
Ding X; Department of HIV/AIDS Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China.
Zhong P; Shanghai Municipal Center for Diseases Control and Prevention, Shanghai, China.
Xing H; Division of Virology and Immunology, National Center for AIDS/STD Control and Prevention (NCAIDS), Beijing, China.
Chai C; Department of HIV/AIDS Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China. Electronic address: .
Pan X; Department of HIV/AIDS Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China. Electronic address: .
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Źródło:
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International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases [Int J Infect Dis] 2023 Mar; Vol. 128, pp. 187-193. Date of Electronic Publication: 2022 Dec 30.
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Typ publikacji:
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Journal Article
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Język:
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English
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Imprint Name(s):
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Publication: Hamilton, ON : Elsevier
Original Publication: Hamilton, ON : Decker, c1996-
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MeSH Terms:
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HIV Infections*/epidemiology
HIV Seropositivity*
Epidemics*
Humans ; Phylogeny ; China/epidemiology ; Molecular Epidemiology ; Genotype
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Contributed Indexing:
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Keywords: HIV-1; Local acquisition; Molecular epidemiology; Molecular network; Phylogenetic
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Entry Date(s):
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Date Created: 20230101 Date Completed: 20230227 Latest Revision: 20230227
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Update Code:
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20240105
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DOI:
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10.1016/j.ijid.2022.12.033
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PMID:
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36587840
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Objectives: This study aimed to establish a collaborative approach to quantify local HIV transmission, which is an issue of great concern to public health.
Methods: We linked HIV-1 pol gene sequences to demographic information and epidemiological investigations in Hangzhou (a central city in East China). We estimated local acquisition rates from a collaboration of molecular network analysis (with a distance-based approach) and epidemiological investigations.
Results: Among 1064 newly diagnosed patients with HIV, 857 pol sequences were acquired and subsequently analyzed. Multiple subtypes were identified, with circulating recombinant form (CRF)07_BC (42.5%) and CRF01_AE (39.2%) predominating, followed by 13 other subtypes and 26 unique recombinant forms. By integrating the molecular network analysis and epidemiological investigations, we estimated that the proportion of local infection was 63.2%. The multivariable analyses revealed that individuals in clusters were more likely to be local residents, be aged 50 years or older, work as farmers, and have a higher first cluster of differentiation 4 count level (P <0.05). The proportions of local acquisitions over 70% were observed in local residents (79.9%, 242/303), individuals aged 50 years or older (73.6%, 181/246), and farmers (75.6%, 99/131).
Conclusion: The molecular network analysis can augment traditional HIV epidemic surveillance. This study establishes a paradigm for quantifying local HIV transmission for generalization in other areas.
Competing Interests: Declaration of competing interest The authors have no competing interests to declare.
(Copyright © 2022 The Author(s). Published by Elsevier Ltd.. All rights reserved.)
