Article

Modeling Homophily in Dynamic Networks with Application to HIV Molecular Surveillance

2022-10-18

Abstract excerpt

<h4>Background: </h4> Efforts to control the HIV epidemic can benefit from knowledge of the relationships between the characteristics of people who have transmitted HIV and those who became infected by them. Investigation of this relationship is facilitated by the use of HIV genetic linkage analyses, which allows inference about possible transmission events among people with HIV infection. Two persons with HIV (PW...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: ccfaa57f-e950-525d-9d8d-fa4b9eda8338
DOI: 10.21203/rs.3.rs-2121871/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Modeling Homophily in Dynamic Networks with Application to HIV Molecular SurveillanceDOI 10.21203/rs.3.rs-2121871/v1Read

HIV Transmission Dynamics: Insights from Molecular Cluster Analysis of Genetic Sequence SimilaritySemantic proximity Read

Social and Genetic Networks of HIV-1 Transmission in New York City.Semantic proximity Read

Natural selection favoring more transmissible HIV detected in United States molecular transmission networkSemantic proximity Read

Phylodynamic Analysis Complements Partner Services by Identifying Acute and Unreported HIV TransmissionSemantic proximity Read

A public health model for the molecular surveillance of HIV transmission in San Diego, CaliforniaSemantic proximity Read

Genetic Cluster Analysis for HIV Prevention.Semantic proximity Read

Integrating molecular epidemiology and social network analysis to study infectious diseases: Towards a socio-molecular era for public healthSemantic proximity Read

Identifying the key nodes of HIV molecular transmission network among men who have sex with men in Guangzhou, China: A cross-sectional studySemantic proximity Read

Molecular epidemiology identifies HIV transmission networks associated with younger age and heterosexual exposure among Korean individuals.Semantic proximity Read

Molecular tools for studying HIV transmission in sexual networksSemantic proximity Read

Understanding Drivers of Phylogenetic Clustering in Molecular Epidemiological Studies of HIVSemantic proximity Read

Combining degree centrality and betweenness centrality of molecular networks can effectively pinpoint individuals at high risk of HIV transmission within the networkSemantic proximity Read