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

Background: Latent tuberculosis infection (LTBI) remains a critical reservoir for the global tuberculosis (TB) epidemic, particularly in South Asia, where high population density and socioeconomic disparities amplify its burden. However, LTBI epidemiological trajectories and long-term forecasts have...

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主要な著者:	Ibrahim Khalil, Nahid Afrin Nisa, Priyadarshini Deb, Mst. Mahmuda Akter, Ferdous Wahid, Md. Imran Hossain
フォーマット:	Artigo
言語:	Inglês
出版事項:	Elsevier 2026-05-01
シリーズ:	Journal of Clinical Tuberculosis and Other Mycobacterial Diseases
主題:	Latent tuberculosis South Asia Global Burden of Disease Joinpoint regression ARIMA forecasting
オンライン･アクセス:	http://www.sciencedirect.com/science/article/pii/S2405579426000173
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