Estimating HIV incidence in Türkiye: results from two mathematical models.

IF 3 3区 医学 Q2 INFECTIOUS DISEASES BMC Infectious Diseases Pub Date : 2025-03-17 DOI:10.1186/s12879-025-10718-8
Emine Yaylali, Zikriye Melisa Erdogan
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Abstract

Background: The number of HIV patients has been decreasing globally due to world-wide efforts to end this epidemic; however, HIV incidence has been significantly increasing in Türkiye in the last five years. This study aimed to develop mathematical models to analyze and forecast HIV incidence and prevalence in Türkiye up to 2030.

Methods: First, we utilized a Bernoulli model and estimated the annual HIV incidence for risk groups such as heterosexuals (HET), men who have sex with men (MSM), persons who inject drugs (PWID) and female sex workers (FSW). We then developed a dynamic compartmental model of HIV transmission and progression to estimate the incidence of HIV from 2024 to 2030 and further determine the continuum of care levels, such as the proportion of people living with diagnosed HIV and the proportion of people receiving antiretroviral treatment. We also conducted sensitivity analyses for both models on key parameters to explore the robustness of our results.

Results: The Bernoulli model indicates that the majority of HIV incidence is driven by two primary risk groups: men who have sex with men (MSM) (41%) and high-risk heterosexuals (HET) (38%). While the risk of HIV transmission is high for people who inject drugs (PWID) (0.07%) and female sex workers (FSW) (0.85%), their contribution to total incidence is lower due to their smaller population sizes. Results from the dynamic compartmental model predict that both the incidence of HIV and the number of HIV-related deaths will continue to rise over the next decade. HIV incidence is projected to reach 27,036 cases in 2025 and increase 2.9-times to 105,202 cases by 2030. According to our models, a significant portion of the HIV-positive population remains undiagnosed (49%), and individuals at high risk of HIV transmission (41% of estimated HIV incidence) are the primary drivers of the epidemic.

Conclusions: The number of HIV cases could significantly increase with existing prevention efforts, and HIV could become a major public health threat in the near future in Türkiye.

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土耳其艾滋病发病率估算:两个数学模型的结果。
背景:由于全世界努力结束这一流行病,全球艾滋病毒患者人数一直在减少;然而,在过去五年中,刚果民主共和国的艾滋病毒发病率显著增加。本研究旨在建立数学模型,以分析和预测到2030年日本的艾滋病毒发病率和流行率。方法:首先,利用Bernoulli模型,对异性恋者(HET)、男男性行为者(MSM)、注射吸毒者(PWID)和女性性工作者(FSW)等高危人群的HIV年发病率进行估算。然后,我们开发了艾滋病毒传播和进展的动态隔间模型,以估计2024年至2030年的艾滋病毒发病率,并进一步确定护理水平的连续性,例如诊断出艾滋病毒的人群比例和接受抗逆转录病毒治疗的人群比例。我们还对两个模型的关键参数进行了敏感性分析,以探索我们结果的稳健性。结果:Bernoulli模型表明,大多数HIV感染是由两个主要风险群体驱动的:男男性行为者(MSM)(41%)和高危异性恋者(HET)(38%)。虽然注射吸毒者(PWID)和女性性工作者(FSW)的艾滋病毒传播风险很高(0.07%),但由于其人口规模较小,其对总发病率的贡献较低。动态区室模型的结果预测,艾滋病毒的发病率和与艾滋病毒有关的死亡人数将在今后十年继续上升。到2025年,艾滋病毒发病率预计将达到27,036例,到2030年将增加2.9倍,达到105,202例。根据我们的模型,很大一部分艾滋病毒阳性人群仍未得到诊断(49%),而艾滋病毒传播风险高的个体(占艾滋病毒估计发病率的41%)是该流行病的主要驱动因素。结论:在现有的预防措施下,艾滋病毒病例数可能会显著增加,艾滋病毒可能在不久的将来成为斯里兰卡主要的公共卫生威胁。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
BMC Infectious Diseases
BMC Infectious Diseases 医学-传染病学
CiteScore
6.50
自引率
0.00%
发文量
860
审稿时长
3.3 months
期刊介绍: BMC Infectious Diseases is an open access, peer-reviewed journal that considers articles on all aspects of the prevention, diagnosis and management of infectious and sexually transmitted diseases in humans, as well as related molecular genetics, pathophysiology, and epidemiology.
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