Please use this identifier to cite or link to this item:
http://hdl.handle.net/1942/22009
Title: | Connecting the dots: network data and models in HIV epidemiology | Authors: | DELVA, Wim Leventhal, Gabriel E. Helleringer, Stéphane |
Issue Date: | 2016 | Source: | AIDS, 30(16), p. 2009-2020 | Abstract: | Effective HIV prevention requires knowledge of the structure and dynamics of the social networks across which infections are transmitted. These networks most commonly comprise chains of sexual relationships, but in some populations, sharing of contaminated needles is also an important, or even the main mechanism that connects people in the network. Whereas network data have long been collected during survey interviews, new data sources have become increasingly common in recent years, because of advances in molecular biology and the use of partner notification services in HIV prevention and treatment programmes. We review current and emerging methods for collecting HIV-related network data, as well as modelling frameworks commonly used to infer network parameters and map potential HIV transmission pathways within the network. We discuss the relative strengths and weaknesses of existing methods and models, and we propose a research agenda for advancing network analysis in HIV epidemiology. We make the case for a combination approach that integrates multiple data sources into a coherent statistical framework. | Keywords: | contact tracing; epidemiology; HIV; mathematical models; partner notification; phylogenetics; sexual networks; survey data | Document URI: | http://hdl.handle.net/1942/22009 | ISSN: | 0269-9370 | e-ISSN: | 1473-5571 | DOI: | 10.1097/QAD.0000000000001184 | ISI #: | 000380812400002 | Rights: | Copyright © 2016 Wolters Kluwer Health, Inc. All rights reserved. | Category: | A1 | Type: | Journal Contribution | Validations: | ecoom 2017 |
Appears in Collections: | Research publications |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Delva Connecting the dots- network data and models in HIV epidemiology AIDS 2016.pdf Restricted Access | Published version | 763.7 kB | Adobe PDF | View/Open Request a copy |
SCOPUSTM
Citations
14
checked on Sep 2, 2020
WEB OF SCIENCETM
Citations
22
checked on May 16, 2024
Page view(s)
14
checked on Sep 7, 2022
Download(s)
8
checked on Sep 7, 2022
Google ScholarTM
Check
Altmetric
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.