Epidemiological trajectories and predictive modeling of latent tuberculosis prevalence in South Asia: an in-depth global burden of disease analysis (1990–2021) with advanced forecasting to 2050
Ibrahim Khalil et al · Elsevier · 2026
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APA 7
al, I. K. E. (2026). Epidemiological trajectories and predictive modeling of latent tuberculosis prevalence in South Asia: an in-depth global burden of disease analysis (1990–2021) with advanced forecasting to 2050. https://doi.org/10.1016/j.jctube.2026.100595
MLA
al, Ibrahim Khalil et. "Epidemiological trajectories and predictive modeling of latent tuberculosis prevalence in South Asia: an in-depth global burden of disease analysis (1990–2021) with advanced forecasting to 2050." 2026. https://doi.org/10.1016/j.jctube.2026.100595.
Chicago
al, Ibrahim Khalil et. 2026. "Epidemiological trajectories and predictive modeling of latent tuberculosis prevalence in South Asia: an in-depth global burden of disease analysis (1990–2021) with advanced forecasting to 2050.". https://doi.org/10.1016/j.jctube.2026.100595.
Harvard
al, I. K. E. 2026, Epidemiological trajectories and predictive modeling of latent tuberculosis prevalence in South Asia: an in-depth global burden of disease analysis (1990–2021) with advanced forecasting to 2050, Elsevier, available at: https://doi.org/10.1016/j.jctube.2026.100595 [Accessed 6 Aug. 2026].
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- Title
- Epidemiological trajectories and predictive modeling of latent tuberculosis prevalence in South Asia: an in-depth global burden of disease analysis (1990–2021) with advanced forecasting to 2050
- Author / contributors
- Ibrahim Khalil et al
- Publisher
- Elsevier
- Publication year
- 2026
- ISSN
- 2405-5794
- ISSN
- 2405-5794
- Language
- English
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