Routledge Isobel, Epstein Adrienne, Takahashi Saki, Janson Owen, Hakim Jill, Duarte Elias, Turcios Keirstinne, Vinden Joanna, Sujishi Kirk, Rangel Jesus, Coh Marcelina, Besana Lee, Ho Wai-Kit, Oon Ching-Ying, Ong Chui Mei, Yun Cassandra, Lynch Kara, Wu Alan H B, Wu Wesley, Karlon William, Thornborrow Edward, Peluso Michael J, Henrich Timothy J, Pak John E, Briggs Jessica, Greenhouse Bryan, Rodriguez-Barraquer Isabel
Res Sq. 2021 Feb 4:rs.3.rs-180966. doi: 10.21203/rs.3.rs-180966/v1.
Serosurveillance provides a unique opportunity to quantify the proportion of the population that has been exposed to pathogens. Here, we developed and piloted (SCALE-IT), a platform through which we systematically tested remnant samples from routine blood draws in two major hospital networks in San Francisco for SARS-CoV-2 antibodies during the early months of the pandemic. Importantly, SCALE-IT allows for algorithmic sample selection and rich data on covariates by leveraging electronic medical record data. We estimated overall seroprevalence at 4.2%, corresponding to a case ascertainment rate of only 4.9%, and identified important heterogeneities by neighborhood, homelessness status, and race/ethnicity. Neighborhood seroprevalence estimates from SCALE-IT were comparable to local community-based surveys, while providing results encompassing the entire city that have been previously unavailable. Leveraging this hybrid serosurveillance approach has strong potential for application beyond this local context and for diseases other than SARS-CoV-2.
血清学监测提供了一个独特的机会来量化接触过病原体的人群比例。在此，我们开发并试点了一个名为“SCALE - IT”的平台，通过该平台，我们在疫情初期的几个月里，系统地检测了旧金山两个主要医院网络常规采血的剩余样本中是否存在新冠病毒抗体。重要的是，“SCALE - IT”通过利用电子病历数据实现了算法样本选择和丰富的协变量数据。我们估计总体血清阳性率为4.2%，对应的病例确诊率仅为4.9%，并按社区、无家可归状态和种族/族裔确定了重要的异质性。“SCALE - IT”得出的社区血清阳性率估计值与当地基于社区的调查结果相当，同时提供了此前无法获得的涵盖整个城市的结果。利用这种混合血清学监测方法，在本地范围之外以及针对新冠病毒以外的疾病进行应用具有很大潜力。
