Estimating Effects of HIV Sequencing Data Completeness on Transmission Network Patterns and Detection of Growing HIV Transmission Clusters-Reference-Cited by-同舟云学术

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Estimating Effects of HIV Sequencing Data Completeness on Transmission Network Patterns and Detection of Growing HIV Transmission Clusters

Published:2019-04 Issue:4 Volume:35 Page:368-375
ISSN:0889-2229
Container-title:AIDS Research and Human Retroviruses
language:en
Short-container-title:AIDS Research and Human Retroviruses

Author:

Dasgupta Sharoda¹,France Anne Marie¹,Brandt Mary-Grace²,Reuer Jennifer³,Zhang Tianchi⁴,Panneer Nivedha¹,Hernandez Angela L.¹,Oster Alexandra M.¹

Affiliation:

1. Division of HIV/AIDS Prevention, Centers for Disease Control and Prevention, Atlanta, Georgia.

2. Michigan Department of Health and Human Services, Southfield, Michigan.

3. Washington State Department of Health, Tumwater, Washington.

4. ICF International, Atlanta, Georgia.

Publisher

Mary Ann Liebert Inc

Subject

Infectious Diseases,Virology,Immunology

Link

https://www.liebertpub.com/doi/pdf/10.1089/aid.2018.0181

Reference21 articles.

1. Phylogenetic Studies of Transmission Dynamics in Generalized HIV Epidemics

2. Near real-time monitoring of HIV transmission hotspots from routine HIV genotyping: an implementation case study

3. Using HIV Networks to Inform Real Time Prevention Interventions

4. Phylogenetic Investigation of a Statewide HIV-1 Epidemic Reveals Ongoing and Active Transmission Networks Among Men Who Have Sex With Men

5. Integration of Contact Tracing and Phylogenetics in an Investigation of Acute HIV Infection

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2. Molecular epidemiology to aid virtual elimination of HIV transmission in Australia;Virus Research;2024-03

3. Leveraging social networks for identification of people with HIV who are virally unsuppressed;AIDS;2023-10-26

4. Molecular Epidemiology of HIV-1 Subtype B Infection across Florida Reveals Few Large Superclusters with Metropolitan Origin;Microbiology Spectrum;2022-12-21

5. Impact of molecular sequence data completeness on HIV cluster detection and a network science approach to enhance detection;Scientific Reports;2022-11-10

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