Appa Ayesha, Chamie Gabriel, Sawyer Aenor, Baltzell Kimberly, Dippell Kathryn, Ribeiro Salu, Duarte Elias, Vinden Joanna, Consortium Cliahub, Kramer-Feldman Jonathan, Rahdari Shahryar, MacIntosh Doug, Nicholson Katherine, Im Jonathan, Havlir Diane, Greenhouse Bryan
University of California, San Francisco Division of HIV, Infectious Diseases, and Global Medicine, San Francisco, CA, USA.
Chan Zuckerberg Biohub, San Francisco, USA.
Arch Public Health. 2021 Jul 7;79(1):125. doi: 10.1186/s13690-021-00647-8.
Early in the pandemic, inadequate SARS-CoV-2 testing limited understanding of transmission. Chief among barriers to large-scale testing was unknown feasibility, particularly in non-urban areas. Our objective was to report methods of high-volume, comprehensive SARS-CoV-2 testing, offering one model to augment disease surveillance in a rural community.
A community-university partnership created an operational site used to test most residents of Bolinas, California regardless of symptoms in 4 days (April 20th - April 23rd, 2020). Prior to testing, key preparatory elements included community mobilization, pre-registration, volunteer recruitment, and data management. On day of testing, participants were directed to a testing lane after site entry. An administrator viewed the lane-specific queue and pre-prepared test kits, linked to participants' records. Medical personnel performed sample collection, which included finger prick with blood collection to run laboratory-based antibody testing and respiratory specimen collection for polymerase chain reaction (PCR).
Using this 4-lane model, 1,840 participants were tested in 4 days. A median of 57 participants (IQR 47-67) were tested hourly. The fewest participants were tested on day 1 (n = 338 participants), an intentionally lower volume day, increasing to n = 571 participants on day 4. The number of testing teams was also increased to two per lane to allow simultaneous testing of multiple participants on days 2-4. Consistent staffing on all days helped optimize proficiency, and strong community partnership was essential from planning through execution.
High-volume ascertainment of SARS-CoV-2 prevalence by PCR and antibody testing was feasible when conducted in a community-led, drive-through model in a non-urban area.
在疫情早期,严重急性呼吸综合征冠状病毒2(SARS-CoV-2)检测不足限制了对病毒传播的了解。大规模检测的主要障碍是可行性未知,尤其是在非城市地区。我们的目标是报告高容量、全面的SARS-CoV-2检测方法,提供一种模式以加强农村社区的疾病监测。
一个社区与大学的合作项目设立了一个操作点,用于在4天内(2020年4月20日至4月23日)对加利福尼亚州博利纳斯的大多数居民进行检测,无论其有无症状。在检测前,关键的准备工作包括社区动员、预登记、志愿者招募和数据管理。检测当天,参与者进入检测点后被引导至检测通道。一名管理员查看特定通道的队列和预先准备好的检测试剂盒,并将其与参与者的记录相连。医务人员进行样本采集,包括手指采血以进行基于实验室的抗体检测,以及采集呼吸道样本用于聚合酶链反应(PCR)检测。
使用这种四通道模式,在4天内对1840名参与者进行了检测。每小时检测的参与者中位数为57名(四分位间距47 - 67)。第1天检测的参与者最少(n = 338名),这是有意安排的检测量较低的一天,到第4天增加到n = 571名。在第2 - 4天,每个通道的检测团队数量也增加到两个,以便同时对多名参与者进行检测。所有日子都保持一致的人员配备有助于优化熟练度,并且从规划到执行,强大的社区合作关系至关重要。
在非城市地区采用社区主导的免下车检测模式,通过PCR和抗体检测对SARS-CoV-2流行率进行高容量确定是可行的。