Estimating undiagnosed HIV infections by age group in Japan: an extended age-dependent back-calculation

IF 8.8 3区 医学 Q1 Medicine
Seiko Fujiwara , Hiroshi Nishiura , Takuma Shirasaka , Akifumi Imamura
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Abstract

Understanding the number of undiagnosed HIV-infected individuals by age is essential for improving the test-and-treat strategy. We developed an extended back-calculation by age group to investigate the situation in Japan, describing the data-generating process of AIDS cases and HIV diagnoses as a function of age and time. We considered the incubation period as a function of both age and time since infection, and estimated the number of new HIV infections and annual diagnosis rate by age and time. The diagnosed proportion of HIV infections at the end of 2022 was estimated to be 93.2 % (95 % CI: 90.2, 95.8) in their 20s, 90.4 % (95 % CI: 87.0, 93.7) in their 40s, 90.3 % (95 % CI: 86.9, 93.5) in their 50s or older, and 89.4 % (95 % CI: 85.1, 93.2) in their 30s. The annual rate of diagnosis of people in their 40s decreased from 16.9 % in 2015–2019 to 14.8 % in 2020–22. Despite increasing trend in diagnostic rate, the estimate for those in their 50s was as small as 13.6 % (95 % CI: 8.5, 19.4) in 2020–2022. We identified a difficulty in diagnosing HIV-infected individuals aged 40 and older. The absolute number of infections is greater among those in their 30s than 40s, but the AIDS incidence is the opposite, suggesting that older individuals would require more customized (and easy to access) opportunities for diagnosis.
日本按年龄组估计未确诊的艾滋病毒感染:一个扩展的年龄依赖的反向计算
了解按年龄划分的未确诊艾滋病毒感染者的数量对于改进检测和治疗策略至关重要。我们开发了一种扩展的按年龄组反向计算来调查日本的情况,描述了艾滋病病例和艾滋病毒诊断的数据生成过程作为年龄和时间的函数。我们将潜伏期视为感染后年龄和时间的函数,并按年龄和时间估计新发HIV感染人数和年诊断率。到2022年底,诊断出的艾滋病毒感染比例估计为20多岁的93.2% (95% CI: 90.2, 95.8), 40多岁的90.4% (95% CI: 87.0, 93.7), 50多岁或以上的90.3% (95% CI: 86.9, 93.5), 30多岁的89.4% (95% CI: 85.1, 93.2)。40多岁人群的年诊断率从2015-2019年的16.9%下降到2020 - 2022年的14.8%。尽管诊断率呈上升趋势,但在2020-2022年,50多岁人群的诊断率估计只有13.6% (95% CI: 8.5, 19.4)。我们发现诊断40岁及以上的艾滋病毒感染者存在困难。在30多岁的人群中,感染的绝对数量比40多岁的人群要多,但艾滋病的发病率恰恰相反,这表明年龄较大的人群需要更多定制的(而且容易获得的)诊断机会。
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来源期刊
Infectious Disease Modelling
Infectious Disease Modelling Mathematics-Applied Mathematics
CiteScore
17.00
自引率
3.40%
发文量
73
审稿时长
17 weeks
期刊介绍: Infectious Disease Modelling is an open access journal that undergoes peer-review. Its main objective is to facilitate research that combines mathematical modelling, retrieval and analysis of infection disease data, and public health decision support. The journal actively encourages original research that improves this interface, as well as review articles that highlight innovative methodologies relevant to data collection, informatics, and policy making in the field of public health.
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