Combining epidemiological and genetic networks signifies the importance of early treatment in HIV-1 transmission.

Inferring disease transmission networks is important in epidemiology in order to understand and prevent the spread of infectious diseases. Reconstruction of the infection transmission networks requires insight into viral genome data as well as social interactions. For the HIV-1 epidemic, current res...

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Autores principales:	Narges Zarrabi, Mattia Prosperi, Robert G Belleman, Manuela Colafigli, Andrea De Luca, Peter M A Sloot
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2012
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/5e55074cc45041629141f606608ea3d4
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spelling	oai:doaj.org-article:5e55074cc45041629141f606608ea3d42021-11-18T07:03:58ZCombining epidemiological and genetic networks signifies the importance of early treatment in HIV-1 transmission.1932-620310.1371/journal.pone.0046156https://doaj.org/article/5e55074cc45041629141f606608ea3d42012-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/23029421/pdf/?tool=EBIhttps://doaj.org/toc/1932-6203Inferring disease transmission networks is important in epidemiology in order to understand and prevent the spread of infectious diseases. Reconstruction of the infection transmission networks requires insight into viral genome data as well as social interactions. For the HIV-1 epidemic, current research either uses genetic information of patients' virus to infer the past infection events or uses statistics of sexual interactions to model the network structure of viral spreading. Methods for a reliable reconstruction of HIV-1 transmission dynamics, taking into account both molecular and societal data are still lacking. The aim of this study is to combine information from both genetic and epidemiological scales to characterize and analyse a transmission network of the HIV-1 epidemic in central Italy.We introduce a novel filter-reduction method to build a network of HIV infected patients based on their social and treatment information. The network is then combined with a genetic network, to infer a hypothetical infection transmission network. We apply this method to a cohort study of HIV-1 infected patients in central Italy and find that patients who are highly connected in the network have longer untreated infection periods. We also find that the network structures for homosexual males and heterosexual populations are heterogeneous, consisting of a majority of 'peripheral nodes' that have only a few sexual interactions and a minority of 'hub nodes' that have many sexual interactions. Inferring HIV-1 transmission networks using this novel combined approach reveals remarkable correlations between high out-degree individuals and longer untreated infection periods. These findings signify the importance of early treatment and support the potential benefit of wide population screening, management of early diagnoses and anticipated antiretroviral treatment to prevent viral transmission and spread. The approach presented here for reconstructing HIV-1 transmission networks can have important repercussions in the design of intervention strategies for disease control.Narges ZarrabiMattia ProsperiRobert G BellemanManuela ColafigliAndrea De LucaPeter M A SlootPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 7, Iss 9, p e46156 (2012)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Narges Zarrabi Mattia Prosperi Robert G Belleman Manuela Colafigli Andrea De Luca Peter M A Sloot Combining epidemiological and genetic networks signifies the importance of early treatment in HIV-1 transmission.
description	Inferring disease transmission networks is important in epidemiology in order to understand and prevent the spread of infectious diseases. Reconstruction of the infection transmission networks requires insight into viral genome data as well as social interactions. For the HIV-1 epidemic, current research either uses genetic information of patients' virus to infer the past infection events or uses statistics of sexual interactions to model the network structure of viral spreading. Methods for a reliable reconstruction of HIV-1 transmission dynamics, taking into account both molecular and societal data are still lacking. The aim of this study is to combine information from both genetic and epidemiological scales to characterize and analyse a transmission network of the HIV-1 epidemic in central Italy.We introduce a novel filter-reduction method to build a network of HIV infected patients based on their social and treatment information. The network is then combined with a genetic network, to infer a hypothetical infection transmission network. We apply this method to a cohort study of HIV-1 infected patients in central Italy and find that patients who are highly connected in the network have longer untreated infection periods. We also find that the network structures for homosexual males and heterosexual populations are heterogeneous, consisting of a majority of 'peripheral nodes' that have only a few sexual interactions and a minority of 'hub nodes' that have many sexual interactions. Inferring HIV-1 transmission networks using this novel combined approach reveals remarkable correlations between high out-degree individuals and longer untreated infection periods. These findings signify the importance of early treatment and support the potential benefit of wide population screening, management of early diagnoses and anticipated antiretroviral treatment to prevent viral transmission and spread. The approach presented here for reconstructing HIV-1 transmission networks can have important repercussions in the design of intervention strategies for disease control.
format	article
author	Narges Zarrabi Mattia Prosperi Robert G Belleman Manuela Colafigli Andrea De Luca Peter M A Sloot
author_facet	Narges Zarrabi Mattia Prosperi Robert G Belleman Manuela Colafigli Andrea De Luca Peter M A Sloot
author_sort	Narges Zarrabi
title	Combining epidemiological and genetic networks signifies the importance of early treatment in HIV-1 transmission.
title_short	Combining epidemiological and genetic networks signifies the importance of early treatment in HIV-1 transmission.
title_full	Combining epidemiological and genetic networks signifies the importance of early treatment in HIV-1 transmission.
title_fullStr	Combining epidemiological and genetic networks signifies the importance of early treatment in HIV-1 transmission.
title_full_unstemmed	Combining epidemiological and genetic networks signifies the importance of early treatment in HIV-1 transmission.
title_sort	combining epidemiological and genetic networks signifies the importance of early treatment in hiv-1 transmission.
publisher	Public Library of Science (PLoS)
publishDate	2012
url	https://doaj.org/article/5e55074cc45041629141f606608ea3d4
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Combining epidemiological and genetic networks signifies the importance of early treatment in HIV-1 transmission.

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