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

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.

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Publication Details

Journal
Infectious Disease Modelling
Published
2025-06-06
DOI
https://doi.org/10.1016/j.idm.2025.06.001
Citations
1
Primary Topic
HIV/AIDS Research and Interventions
Type
article
Field-Weighted Citation Impact
1.40
Controls
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article

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

Hiroshi Nishiura, Takuma Shirasaka, Seiko Fujiwara, Akifumi Imamura
1 citations
Infectious Disease Modelling
HIV/AIDS Research and Interventions
1.40
article

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

Hiroshi Nishiura, Takuma Shirasaka, Seiko Fujiwara, Akifumi Imamura
article en
1 citations

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.

Infectious Disease ModellingVol. 10(4)
Kyoto University (JP), Tokyo Metropolitan Komagome Hospital (JP), Osaka National Hospital (JP)
Good health and well-being
Openalex Percentile: Top 20%
HIV/AIDS Research and Interventions
1.40
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Estimating undiagnosed HIV infections by age group in Japan: an extended age-dependent back-calculation — Hiroshi Nishiura, Takuma Shirasaka, et al. · Infectious Disease Modelling (2025) | TGRS Research Map | TGRS