ArticleInfectious Disease Modelling2025
Estimating undiagnosed HIV infections by age group in Japan: an extended age-dependent back-calculation.
Article in Infectious Disease Modelling, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- Long-term evolution of the burden of HIV/AIDS in older adults: a global burden of disease analysis in individuals aged ≥75 years in G7 countries.Frontiers in public health · 2026Article
- The shifting burden of mortality among men with HIV in Japan between 2007 and 2024: a single-center retrospective cohort study.BMC infectious diseases · 2025Article
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Authors and funding
4 authors.
Funding
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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.
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