ArticleScientific reports2019
Mathematical modelling of the impact of treating latent tuberculosis infection in the elderly in a city with intermediate tuberculosis burden.
Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.
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15 citing papers in PubMed, 1 synthesis or guideline pooled it, 39 citations in OpenAlex.
- The prevalence of tuberculosis infection in India: A systematic review and meta-analysis.The Indian journal of medical researchPooled it
- Reappraising TB preventive treatment in India: programmatic and ethical implications of subclinical tuberculosis in household contacts.The Lancet regional health. Southeast Asia · 2026Review
- Modelling tuberculosis transmission dynamics in Malaysia.Frontiers in public health · 2026Article
- Analysis of the disease burden and attributable risk factors of tuberculosis in G20 countries from 1990 to 2021.BMC infectious diseases · 2025Article
- The impact of population aging on tuberculosis prevention and control in Shanghai: a prediction based on age-period-cohort models.Aging clinical and experimental research · 2025Article
- Ambient PMEpidemiology and infection · 2025Article
- Clinical, Radiological Features and Treatment Outcomes of Tuberculosis in Patients Aged 75 Years and Older.Journal of epidemiology and global health · 2024Article
- Global, regional, and national age-specific progress towards the 2020 milestones of the WHO End TB Strategy: a systematic analysis for the Global Burden of Disease Study 2021.The Lancet. Infectious diseases · 2024Article
- Tuberculosis in older adults: challenges and best practices in the Western Pacific Region.The Lancet regional health. Western Pacific · 2023Review
- Prevalence of latent tuberculosis infection among participants of the national LTBI screening program in South Korea - A problem of low coverage rate with current LTBI strategy.Frontiers in public health · 2022Article
- Fractal-fractional and stochastic analysis of norovirus transmission epidemic model with vaccination effects.Scientific reports · 2021Article
- Seasonality of tuberculosis in intermediate endemicity setting dominated by reactivation diseases in Hong Kong.Scientific reports · 2021Article
- The circRNA_102911/miR-129-5p/SOX6 axis is involved with T lymphocyte immune function in elderly patients with laparoscopic left hepatectomy for hepatolithiasis.Experimental and therapeutic medicine · 2021Article
- Cost-Effectiveness Analysis of High-Risk Groups Tuberculosis Screening in Malaysia.Frontiers in public health · 2021Article
- Active Case Finding in the Elderly Tuberculosis in South Korea.Tuberculosis and respiratory diseases · 2019Article
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Authors and funding
11 authors at 1 institution in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Hong Kong is a high-income city with intermediate tuberculosis (TB) burden primarily driven by endogenous reactivations. A high proportion of remote latently infected people, particularly elderly, hinders the effectiveness of current strategies focusing on passive TB detection. In this study, we developed a mathematical model to evaluate the impact of treating latent TB infection (LTBI) in the elderly in addition to current TB control strategies. The model was calibrated using the annual age-stratified TB notifications from 1965-2013 in Hong Kong. Our results showed that at present, approximately 75% of annual new notifications were from reactivations. Given the present treatment completion rate, even if only a low to moderate proportion (approximately 20% to 40%) of elderly people were screened and treated for LTBI, the overall TB incidence could be reduced by almost 50%, to reach the 2025 milestone of the global End TB Strategy. Nevertheless, due to a high risk of hepatotoxicity in elderly population, benefit-risk ratios were mostly below unity; thus, intervention programs should be carefully formulated, including prioritising LTBI treatment for high-risk elderly groups who are closely monitored for possible adverse side effects.
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