EPPIcenter Program, Division of HIV, ID, and Global Medicine, Department of Medicine, University of California, San Francisco, San Francisco, California, USA.
Chan Zuckerberg Biohub, San Francisco, California, USA.
J Infect Dis. 2020 Nov 9;222(11):1772-1775. doi: 10.1093/infdis/jiaa523.
Biased seroprevalence estimates can occur using serological assays optimized with validation sets unrepresentative of disease spectrum in the general population. Correct interpretation of serosurveys for severe acute respiratory syndrome coronavirus 2 requires quantifying variations in sensitivity with disease severity and over time.
使用优化后的血清学检测方法进行血清学检测时，如果验证集不代表一般人群中的疾病谱，可能会导致偏倚的血清流行率估计。正确解释严重急性呼吸综合征冠状病毒 2 的血清学调查结果需要定量评估灵敏度随疾病严重程度和时间的变化。
