Is aggregated surveillance data a reliable method for constructing tuberculosis care cascades? A secondary data analysis from Uganda.

• Главные авторы: Elizabeth B White (Автор), Raúl U Hernández-Ramírez (Автор), Robert Kaos Majwala (Автор), Talemwa Nalugwa (Автор), Tania Reza (Автор), Adithya Cattamanchi (Автор), Achilles Katamba (Автор), J Lucian Davis (Автор)
• Формат: ‌
• Опубликовано: Public Library of Science (PLoS), 2022-01-01T00:00:00Z.
• Предметы: article
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To accelerate tuberculosis (TB) control and elimination, reliable data is needed to improve the quality of TB care. We assessed agreement between a surveillance dataset routinely collected for Uganda's national TB program and a high-fidelity dataset collected from the same source documents for...