Cargando…
Demographic Characteristics and Hot-Spot Areas of Recent Infections Among New HIV Diagnoses in Sichuan, China, Between 2018 and 2020
BACKGROUND: Sichuan Province is severely affected by the HIV epidemic in China. Little is known about the characteristics of recent infections among new HIV diagnoses, which is critical to prevention strategies, evaluation of the HIV epidemic and health resource allocation. Meanwhile, individuals at...
Autores principales: | , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Dove
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9911905/ https://www.ncbi.nlm.nih.gov/pubmed/36779044 http://dx.doi.org/10.2147/IDR.S394828 |
_version_ | 1784885096936898560 |
---|---|
author | Yang, Hong Li, Yiping He, Fang Yuan, Fengshun Liu, Lunhao Li, Ling Yuan, Dan Ye, Li Zhou, Chang Zhang, Yan Su, Ling Liang, Shu |
author_facet | Yang, Hong Li, Yiping He, Fang Yuan, Fengshun Liu, Lunhao Li, Ling Yuan, Dan Ye, Li Zhou, Chang Zhang, Yan Su, Ling Liang, Shu |
author_sort | Yang, Hong |
collection | PubMed |
description | BACKGROUND: Sichuan Province is severely affected by the HIV epidemic in China. Little is known about the characteristics of recent infections among new HIV diagnoses, which is critical to prevention strategies, evaluation of the HIV epidemic and health resource allocation. Meanwhile, individuals at primary stages of infection are related to the hot-spot areas of ongoing transmission in new HIV diagnoses, which is also rarely known. OBJECTIVE: This article aimed to report the proportion of recent infections among new HIV diagnoses, and to reveal demographic characteristics associated with HIV recent infections, and finally, to indicate the hot-spot areas of ongoing transmission in Sichuan province between 2018 and 2020. METHODS: Limiting Antigen (LAg)-Avidity assay was performed to detect recent infection within new HIV diagnoses reported in odd months between 2018 and 2020. Results were reclassified according to the data on CD4 cell count, antiretroviral treatment and the existence of an AIDS-defining illness. Logistic regression was used to determine characteristics associated with HIV recent infections. The spatial analysis was conducted with ArcGIS 10.7 to figure hot-spot areas of HIV recent infections. RESULTS: 42,089 newly diagnosed HIV-1 cases were tested using the LAg-Avidity EIA. In total, 5848 (13.89%) of those were classified as HIV recent infections. Female, age between 18–25 years and men who had sex with men were related to higher proportion of HIV recent infections. Logistic regression revealed that MSM aged between 18–25 years were more likely to be classified as recent infection. Spatial analysis demonstrated significant clustering in Chengdu, Yibin, Luzhou city between 2018 and 2020. Hot spots were mainly clustered in the center of Sichuan in 2018, but gradually spread to southwest and northwest between 2019 and 2020. CONCLUSION: Enhanced preventive measures among relevant risk groups and areas where the potential HIV-1 transmission is ongoing is urgently needed to curb further spread. |
format | Online Article Text |
id | pubmed-9911905 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Dove |
record_format | MEDLINE/PubMed |
spelling | pubmed-99119052023-02-11 Demographic Characteristics and Hot-Spot Areas of Recent Infections Among New HIV Diagnoses in Sichuan, China, Between 2018 and 2020 Yang, Hong Li, Yiping He, Fang Yuan, Fengshun Liu, Lunhao Li, Ling Yuan, Dan Ye, Li Zhou, Chang Zhang, Yan Su, Ling Liang, Shu Infect Drug Resist Original Research BACKGROUND: Sichuan Province is severely affected by the HIV epidemic in China. Little is known about the characteristics of recent infections among new HIV diagnoses, which is critical to prevention strategies, evaluation of the HIV epidemic and health resource allocation. Meanwhile, individuals at primary stages of infection are related to the hot-spot areas of ongoing transmission in new HIV diagnoses, which is also rarely known. OBJECTIVE: This article aimed to report the proportion of recent infections among new HIV diagnoses, and to reveal demographic characteristics associated with HIV recent infections, and finally, to indicate the hot-spot areas of ongoing transmission in Sichuan province between 2018 and 2020. METHODS: Limiting Antigen (LAg)-Avidity assay was performed to detect recent infection within new HIV diagnoses reported in odd months between 2018 and 2020. Results were reclassified according to the data on CD4 cell count, antiretroviral treatment and the existence of an AIDS-defining illness. Logistic regression was used to determine characteristics associated with HIV recent infections. The spatial analysis was conducted with ArcGIS 10.7 to figure hot-spot areas of HIV recent infections. RESULTS: 42,089 newly diagnosed HIV-1 cases were tested using the LAg-Avidity EIA. In total, 5848 (13.89%) of those were classified as HIV recent infections. Female, age between 18–25 years and men who had sex with men were related to higher proportion of HIV recent infections. Logistic regression revealed that MSM aged between 18–25 years were more likely to be classified as recent infection. Spatial analysis demonstrated significant clustering in Chengdu, Yibin, Luzhou city between 2018 and 2020. Hot spots were mainly clustered in the center of Sichuan in 2018, but gradually spread to southwest and northwest between 2019 and 2020. CONCLUSION: Enhanced preventive measures among relevant risk groups and areas where the potential HIV-1 transmission is ongoing is urgently needed to curb further spread. Dove 2023-02-05 /pmc/articles/PMC9911905/ /pubmed/36779044 http://dx.doi.org/10.2147/IDR.S394828 Text en © 2023 Yang et al. https://creativecommons.org/licenses/by-nc/3.0/This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/ (https://creativecommons.org/licenses/by-nc/3.0/) ). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php). |
spellingShingle | Original Research Yang, Hong Li, Yiping He, Fang Yuan, Fengshun Liu, Lunhao Li, Ling Yuan, Dan Ye, Li Zhou, Chang Zhang, Yan Su, Ling Liang, Shu Demographic Characteristics and Hot-Spot Areas of Recent Infections Among New HIV Diagnoses in Sichuan, China, Between 2018 and 2020 |
title | Demographic Characteristics and Hot-Spot Areas of Recent Infections Among New HIV Diagnoses in Sichuan, China, Between 2018 and 2020 |
title_full | Demographic Characteristics and Hot-Spot Areas of Recent Infections Among New HIV Diagnoses in Sichuan, China, Between 2018 and 2020 |
title_fullStr | Demographic Characteristics and Hot-Spot Areas of Recent Infections Among New HIV Diagnoses in Sichuan, China, Between 2018 and 2020 |
title_full_unstemmed | Demographic Characteristics and Hot-Spot Areas of Recent Infections Among New HIV Diagnoses in Sichuan, China, Between 2018 and 2020 |
title_short | Demographic Characteristics and Hot-Spot Areas of Recent Infections Among New HIV Diagnoses in Sichuan, China, Between 2018 and 2020 |
title_sort | demographic characteristics and hot-spot areas of recent infections among new hiv diagnoses in sichuan, china, between 2018 and 2020 |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9911905/ https://www.ncbi.nlm.nih.gov/pubmed/36779044 http://dx.doi.org/10.2147/IDR.S394828 |
work_keys_str_mv | AT yanghong demographiccharacteristicsandhotspotareasofrecentinfectionsamongnewhivdiagnosesinsichuanchinabetween2018and2020 AT liyiping demographiccharacteristicsandhotspotareasofrecentinfectionsamongnewhivdiagnosesinsichuanchinabetween2018and2020 AT hefang demographiccharacteristicsandhotspotareasofrecentinfectionsamongnewhivdiagnosesinsichuanchinabetween2018and2020 AT yuanfengshun demographiccharacteristicsandhotspotareasofrecentinfectionsamongnewhivdiagnosesinsichuanchinabetween2018and2020 AT liulunhao demographiccharacteristicsandhotspotareasofrecentinfectionsamongnewhivdiagnosesinsichuanchinabetween2018and2020 AT liling demographiccharacteristicsandhotspotareasofrecentinfectionsamongnewhivdiagnosesinsichuanchinabetween2018and2020 AT yuandan demographiccharacteristicsandhotspotareasofrecentinfectionsamongnewhivdiagnosesinsichuanchinabetween2018and2020 AT yeli demographiccharacteristicsandhotspotareasofrecentinfectionsamongnewhivdiagnosesinsichuanchinabetween2018and2020 AT zhouchang demographiccharacteristicsandhotspotareasofrecentinfectionsamongnewhivdiagnosesinsichuanchinabetween2018and2020 AT zhangyan demographiccharacteristicsandhotspotareasofrecentinfectionsamongnewhivdiagnosesinsichuanchinabetween2018and2020 AT suling demographiccharacteristicsandhotspotareasofrecentinfectionsamongnewhivdiagnosesinsichuanchinabetween2018and2020 AT liangshu demographiccharacteristicsandhotspotareasofrecentinfectionsamongnewhivdiagnosesinsichuanchinabetween2018and2020 |