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Lost and found: applying network analysis to public health contact tracing for HIV
Infectious disease surveillance is often case-based, focused on people diagnosed and their contacts in a predefined time window, and treated as independent across infections. Network analysis of partners and contacts joining multiple investigations and infections can reveal social or temporal trends...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7889541/ https://www.ncbi.nlm.nih.gov/pubmed/33681455 http://dx.doi.org/10.1007/s41109-021-00355-w |
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author | Pasquale, Dana K. Doherty, Irene A. Leone, Peter A. Dennis, Ann M. Samoff, Erika Jones, Constance S. Barnhart, John Miller, William C. |
author_facet | Pasquale, Dana K. Doherty, Irene A. Leone, Peter A. Dennis, Ann M. Samoff, Erika Jones, Constance S. Barnhart, John Miller, William C. |
author_sort | Pasquale, Dana K. |
collection | PubMed |
description | Infectious disease surveillance is often case-based, focused on people diagnosed and their contacts in a predefined time window, and treated as independent across infections. Network analysis of partners and contacts joining multiple investigations and infections can reveal social or temporal trends, providing opportunities for epidemic control within broader networks. We constructed a sociosexual network of all HIV and early syphilis cases and contacts investigated among residents of 11 contiguous counties in North Carolina over a two-year period (2012–2013). We anchored the analysis on new HIV diagnoses (“indexes”), but also included nodes and edges from syphilis investigations that were within the same network component as any new HIV index. After adding syphilis investigations and deduplicating people included in multiple investigations (entity resolution), the final network comprised 1470 people: 569 HIV indexes, 700 contacts to HIV indexes who were not also new cases themselves, and 201 people who were either indexes or contacts in eligible syphilis investigations. Among HIV indexes, nearly half (48%; n = 273) had no located contacts during single-investigation contact tracing, though 25 (9%) of these were identified by other network members and thus not isolated in the final multiple investigation network. Constructing a sociosexual network from cases and contacts across multiple investigations mitigated some effects of unobserved partnerships underlying the HIV epidemic and demonstrated the HIV and syphilis overlap in these networks. |
format | Online Article Text |
id | pubmed-7889541 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-78895412021-03-03 Lost and found: applying network analysis to public health contact tracing for HIV Pasquale, Dana K. Doherty, Irene A. Leone, Peter A. Dennis, Ann M. Samoff, Erika Jones, Constance S. Barnhart, John Miller, William C. Appl Netw Sci Research Infectious disease surveillance is often case-based, focused on people diagnosed and their contacts in a predefined time window, and treated as independent across infections. Network analysis of partners and contacts joining multiple investigations and infections can reveal social or temporal trends, providing opportunities for epidemic control within broader networks. We constructed a sociosexual network of all HIV and early syphilis cases and contacts investigated among residents of 11 contiguous counties in North Carolina over a two-year period (2012–2013). We anchored the analysis on new HIV diagnoses (“indexes”), but also included nodes and edges from syphilis investigations that were within the same network component as any new HIV index. After adding syphilis investigations and deduplicating people included in multiple investigations (entity resolution), the final network comprised 1470 people: 569 HIV indexes, 700 contacts to HIV indexes who were not also new cases themselves, and 201 people who were either indexes or contacts in eligible syphilis investigations. Among HIV indexes, nearly half (48%; n = 273) had no located contacts during single-investigation contact tracing, though 25 (9%) of these were identified by other network members and thus not isolated in the final multiple investigation network. Constructing a sociosexual network from cases and contacts across multiple investigations mitigated some effects of unobserved partnerships underlying the HIV epidemic and demonstrated the HIV and syphilis overlap in these networks. Springer International Publishing 2021-02-17 2021 /pmc/articles/PMC7889541/ /pubmed/33681455 http://dx.doi.org/10.1007/s41109-021-00355-w Text en © The Author(s) 2021 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Research Pasquale, Dana K. Doherty, Irene A. Leone, Peter A. Dennis, Ann M. Samoff, Erika Jones, Constance S. Barnhart, John Miller, William C. Lost and found: applying network analysis to public health contact tracing for HIV |
title | Lost and found: applying network analysis to public health contact tracing for HIV |
title_full | Lost and found: applying network analysis to public health contact tracing for HIV |
title_fullStr | Lost and found: applying network analysis to public health contact tracing for HIV |
title_full_unstemmed | Lost and found: applying network analysis to public health contact tracing for HIV |
title_short | Lost and found: applying network analysis to public health contact tracing for HIV |
title_sort | lost and found: applying network analysis to public health contact tracing for hiv |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7889541/ https://www.ncbi.nlm.nih.gov/pubmed/33681455 http://dx.doi.org/10.1007/s41109-021-00355-w |
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