Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

HIV-1 molecular transmission network among sexually transmitted populations in Liaoning Province, China.

Medicine - 16 Jul 2021

Ma Ning, Chen Xing-Hua, Zhao Yan, Kang Xu, Pan Shan, Yao Wen-Qing

Abstract excerpt

INTRODUCTION: In recent years, with the development of molecular epidemiology, molecular transmission networks based on evolutionary theory and sequence analysis have been widely used in research on human immunodeficiency virus (HIV)-1 transmission dynamics and precise intervention for high-risk populations. The HIV-1 molecular transmission network is a new method to study the population's access to the network,...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to China
Share to Health Behavior
Share to HIV-1

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to HIV Infections

Share to Molecular Epidemiology

Share to RNA, Viral

Share to Sequence Analysis, DNA

Share to Socioeconomic Factors

Source

Open in PubMed Open full text

Identifiers

PMID: 34260561
DOI: 10.1097/MD.0000000000026640
PMCID: PMC8284760

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

HIV-1 molecular transmission network among sexually transmitted populations in Liaoning Province, China.PMID 34260561Read ↗

[Analysis of the characteristics of HIV-1 molecular transmission network among people aged 50 years and above in Pengzhou city of Sichuan province].Semantic proximity Read ↗

Molecular Transmission Network of Newly Reported HIV Infections in Pengzhou, Sichuan Province: A Study Based on Genomics and Spatial Epidemiology.Semantic proximity Read ↗

HIV Molecular Transmission Networks Among MSM in Ningxia, China(2018–2024): Unraveling the Dynamics of an MSM-Driven HIV EpidemicSemantic proximity Read ↗

Characteristics of Subtype and Molecular Transmission Networks among Newly Diagnosed HIV-1 Infections in Patients Residing in Taiyuan City, Shanxi Province, China, from 2021 to 2023.Semantic proximity Read ↗

Using molecular network analysis to understand current HIV-1 transmission characteristics in an inland area of Yunnan, China.Semantic proximity Read ↗

HIV-1 drug resistance and genetic transmission networks among patients with sexually transmitted HIV in Ningxia, ChinaSemantic proximity Read ↗

Using molecular transmission networks to understand the epidemic characteristics of HIV-1 CRF08_BC across ChinaSemantic proximity Read ↗

HIV-1 genetic transmission networks among men who have sex with men in Kunming, China.Semantic proximity Read ↗

Molecular transmission networks and pre-treatment drug resistance among individuals with acute HIV-1 infection in Baoding, China.Semantic proximity Read ↗

[Analysis on characteristics of HIV-1 molecular networks in men who have sex with men in Kunming, 2016-2018].Semantic proximity Read ↗

Molecular transmission network analysis of newly diagnosed HIV-1 infections in Nanjing from 2019 to 2021Semantic proximity Read ↗

Molecular transmission network analysis of newly diagnosed HIV-1 infections in Nanjing from 2019 to 2021.Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.