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2016 年至 2050 年中国广东省新发性传播 HIV 感染:基于动态房室模型的研究。

New sexually transmitted HIV infections from 2016 to 2050 in Guangdong Province, China: a study based on a dynamic compartmental model.

机构信息

Department of Medical Statistics, School of Public Health, Sun Yat-sen University, No. 74 Zhongshan 2nd Road, Guangzhou, 510080, China.

Sun Yat-sen Global Health institute, Sun Yat-sen University, Guangzhou, China.

出版信息

BMC Public Health. 2024 May 14;24(1):1307. doi: 10.1186/s12889-024-18735-z.

Abstract

BACKGROUND

In Guangdong Province, China, there is lack of information on the HIV epidemic among high-risk groups and the general population, particularly in relation to sexual transmission, which is a predominant route. The new HIV infections each year is also uncertain owing to HIV transmission from men who have sex with men (MSM) to women, as a substantial proportion of MSM also have female sexual partnerships to comply with social demands in China.

METHODS

A deterministic compartmental model was developed to predict new HIV infections in four risk groups, including heterosexual men and women and low- and high-risk MSM, in Guangdong Province from 2016 to 2050, considering HIV transmission from MSM to women. The new HIV infections and its 95% credible interval (CrI) were predicted. An adaptive sequential Monte Carlo method for approximate Bayesian computation (ABC-SMC) was used to estimate the unknown parameter, a mixing index. We calibrated our results based on new HIV diagnoses and proportions of late diagnoses. The Morris and Sobol methods were applied in the sensitivity analysis.

RESULTS

New HIV infections increased during and 2 years after the COVID-19 pandemic, then declined until 2050. New infections rose from 8,828 [95% credible interval (CrI): 6,435-10,451] in 2016 to 9,652 (95% CrI: 7,027-11,434) in 2019, peaking at 11,152 (95% CrI: 8,337-13,062) in 2024 before declining to 7,084 (95% CrI: 5,165-8,385) in 2035 and 4,849 (95% CrI: 3,524-5,747) in 2050. Women accounted for approximately 25.0% of new HIV infections, MSM accounted for 40.0% (approximately 55.0% of men), and high-risk MSM accounted for approximately 25.0% of the total. The ABC-SMC mixing index was 0.504 (95% CrI: 0.239-0.894).

CONCLUSIONS

Given that new HIV infections and the proportion of women were relatively high in our calibrated model, to some extent, the HIV epidemic in Guangdong Province remains serious, and services for HIV prevention and control are urgently needed to return to the levels before the COVID-19 epidemic, especially in promoting condom-based safe sex and increasing awareness of HIV prevention to general population.

摘要

背景

在中国广东省,缺乏有关高危人群和普通人群中艾滋病毒流行情况的信息,特别是有关性传播的信息,而性传播是主要传播途径。由于男男性行为者(MSM)向女性传播艾滋病毒,每年新感染的艾滋病毒数量也不确定,因为在中国,相当一部分 MSM 也有女性性伴侣来满足社会需求。

方法

我们建立了一个确定性的房室模型,以预测 2016 年至 2050 年广东省四个风险群体(包括异性恋男性和女性以及低危和高危 MSM)中的新艾滋病毒感染人数,同时考虑到 MSM 向女性传播艾滋病毒的情况。我们预测了新的艾滋病毒感染人数及其 95%可信区间(CrI)。我们使用自适应序贯蒙特卡罗方法进行近似贝叶斯计算(ABC-SMC)来估计未知参数,即混合指数。我们根据新的艾滋病毒诊断和晚期诊断的比例对结果进行了校准。我们还应用了 Morris 和 Sobol 方法进行敏感性分析。

结果

在新冠疫情期间和疫情结束后的两年内,新的艾滋病毒感染人数增加,然后在 2050 年之前下降。新感染人数从 2016 年的 8828 例(95%可信区间(CrI):6435-10451)增加到 2019 年的 9652 例(95% CrI:7027-11434),在 2024 年达到峰值 11152 例(95% CrI:8337-13062),然后在 2035 年下降到 7084 例(95% CrI:5165-8385),并在 2050 年下降到 4849 例(95% CrI:3524-5747)。女性约占新艾滋病毒感染人数的 25.0%,MSM 占 40.0%(约占男性的 55.0%),高危 MSM 占总数的 25.0%。ABC-SMC 混合指数为 0.504(95% CrI:0.239-0.894)。

结论

鉴于我们校准模型中的新艾滋病毒感染人数和女性比例相对较高,在某种程度上,广东省的艾滋病毒流行仍然很严重,需要紧急提供艾滋病毒预防和控制服务,使其恢复到新冠疫情之前的水平,特别是在促进基于安全套的安全性行为和提高普通人群对艾滋病毒预防的认识方面。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2c45/11092022/c85282e52db9/12889_2024_18735_Fig1_HTML.jpg

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