Selected state-level trends in RR-TB prevalence among notified TB cases per 100,000 person-years by case type (2017–2023).

<p>Selected states are those with the highest number of RR-TB cases among notified TB cases per 100,000 person-years and who tested at least 30% of notified TB cases in 2023. “Modeled” reflects modeled estimates and shaded 95% uncertainty intervals. “Naïve” estimates are only among Xpert MTB/R...

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Bibliographic Details
Main Author:	Sarah E. Baum (3270183) (author)
Other Authors:	Daniele M. Pelissari (18621328) (author), Fernanda Dockhorn Costa (20469415) (author), Luiza O. Harada (20469418) (author), Mauro Sanchez (287788) (author), Patricia Bartholomay (328739) (author), Ted Cohen (118302) (author), Marcia C. Castro (7377455) (author), Nicolas A. Menzies (8677533) (author)
Published:	2024
Subjects:	Medicine Neuroscience Biotechnology Cancer Hematology Infectious Diseases Virology Computational Biology Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified rapid diagnostic tests observed xpert mtb na &# 239 employed statistical corrections 28 &# 8211 2017 &# 8211 2 &# 8211 previously treated cases used model output resistance &# 8212 alternative model specifications recover unbiased estimates increased testing coverage resistance among new rdt data collected derive timely estimates drug susceptibility testing representative prevalence surveys estimated prevalence ranging routine tb diagnosis patients receiving rdts brazil </ p tb drug resistance new cases rdt testing timely information level data resistance levels recommended rdt tb incidence modeled estimates untested individuals time period results using resistant tuberculosis requires accurate past decade overall cohort methodological development infrequent nationally impute results expanded availability core drugs approach provides 2023 case 000 patients
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Selected state-level trends in RR-TB prevalence among notified TB cases per 100,000 person-years by case type (2017–2023).

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