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Infer HIV transmission dynamics from gene sequences among young men who have sex with men in China
To investigate the transmission dynamics and temporal and spatial migration characteristics of HIV spread among men who have sex with men (MSM) in China, a total of 1012 HIV-1 partial pol sequences, including five subtypes, were studied. Bayesian analysis were applied for each subtype to infer its d...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
KeAi Publishing
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8286960/ https://www.ncbi.nlm.nih.gov/pubmed/34322646 http://dx.doi.org/10.1016/j.idm.2021.06.003 |
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author | Jin, Xin Cheng, Jinjin Lou, Jie |
author_facet | Jin, Xin Cheng, Jinjin Lou, Jie |
author_sort | Jin, Xin |
collection | PubMed |
description | To investigate the transmission dynamics and temporal and spatial migration characteristics of HIV spread among men who have sex with men (MSM) in China, a total of 1012 HIV-1 partial pol sequences, including five subtypes, were studied. Bayesian analysis were applied for each subtype to infer its dynamic characters including the effective reproductive number (R(e)) and migration process. The mean curve of each R(e) was almost always greater than 1 (even the 95% highest posterior density (HPD) lower value) along with time, which supports the necessity for a comprehensive study about risk behaviors among young MSM group in China. We also should reappraise the free treatment strategy, especially the therapeutic effect during the free treatment policy. |
format | Online Article Text |
id | pubmed-8286960 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | KeAi Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-82869602021-07-27 Infer HIV transmission dynamics from gene sequences among young men who have sex with men in China Jin, Xin Cheng, Jinjin Lou, Jie Infect Dis Model Original Research Article To investigate the transmission dynamics and temporal and spatial migration characteristics of HIV spread among men who have sex with men (MSM) in China, a total of 1012 HIV-1 partial pol sequences, including five subtypes, were studied. Bayesian analysis were applied for each subtype to infer its dynamic characters including the effective reproductive number (R(e)) and migration process. The mean curve of each R(e) was almost always greater than 1 (even the 95% highest posterior density (HPD) lower value) along with time, which supports the necessity for a comprehensive study about risk behaviors among young MSM group in China. We also should reappraise the free treatment strategy, especially the therapeutic effect during the free treatment policy. KeAi Publishing 2021-07-10 /pmc/articles/PMC8286960/ /pubmed/34322646 http://dx.doi.org/10.1016/j.idm.2021.06.003 Text en © 2021 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Original Research Article Jin, Xin Cheng, Jinjin Lou, Jie Infer HIV transmission dynamics from gene sequences among young men who have sex with men in China |
title | Infer HIV transmission dynamics from gene sequences among young men who have sex with men in China |
title_full | Infer HIV transmission dynamics from gene sequences among young men who have sex with men in China |
title_fullStr | Infer HIV transmission dynamics from gene sequences among young men who have sex with men in China |
title_full_unstemmed | Infer HIV transmission dynamics from gene sequences among young men who have sex with men in China |
title_short | Infer HIV transmission dynamics from gene sequences among young men who have sex with men in China |
title_sort | infer hiv transmission dynamics from gene sequences among young men who have sex with men in china |
topic | Original Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8286960/ https://www.ncbi.nlm.nih.gov/pubmed/34322646 http://dx.doi.org/10.1016/j.idm.2021.06.003 |
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