Impact of age-stratified latent tuberculosis treatment on disease burden of active tuberculosis: A mathematical modeling study in an aging country with a high disease burden

Prioritizing LTBI treatment in the 35-64 age group may substantially reduce TB burden and supports age-stratified strategies for national TB control.

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Publication Details

Journal
International Journal of Infectious Diseases
Published
2025-08-08
DOI
https://doi.org/10.1016/j.ijid.2025.108003
Citations
1
Primary Topic
Tuberculosis Research and Epidemiology
Type
article
Field-Weighted Citation Impact
1.40

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article

Impact of age-stratified latent tuberculosis treatment on disease burden of active tuberculosis: A mathematical modeling study in an aging country with a high disease burden

Yun Jeong Lee, Jiyeon Suh, Hye Seong, Joon Young Song et al.
1 citations
International Journal of Infectious Diseases
Tuberculosis Research and Epidemiology
1.40
article

Impact of age-stratified latent tuberculosis treatment on disease burden of active tuberculosis: A mathematical modeling study in an aging country with a high disease burden

Yun Jeong Lee, Jiyeon Suh, Hye Seong, Joon Young Song, Jeehyun Lee
article en
1 citations

Abstract

Prioritizing LTBI treatment in the 35-64 age group may substantially reduce TB burden and supports age-stratified strategies for national TB control.

International Journal of Infectious DiseasesVol. 159
Yonsei University (KR), Korea University Medical Center (KR), Korea University (JP)
Korea University Guro Hospital, Korea University
Good health and well-being
Openalex Percentile: Top 17%
Tuberculosis Research and Epidemiology
1.40
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