Adapting Lot Quality Assurance Sampling to accommodate imperfect diagnostic tests: application to COVID-19 serosurveillance in Haiti

• Главные авторы: Isabel R. Fulcher (Автор), Mary Clisbee (Автор), Wesler Lambert (Автор), Fernet Renand Leandre (Автор), Bethany Hedt-Gauthier (Автор)
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• Опубликовано: BMC, 2022-11-01T00:00:00Z.
• Предметы: article
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Abstract Background Lot Quality Assurance Sampling (LQAS), a tool used for monitoring health indicators in low resource settings resulting in "high" or "low" classifications, assumes that determination of the trait of interest is perfect. This is often not true for diagnostic tes...