Department of Biology, United Stated Air Force Academy, Colorado Springs, CO 80840, USA.
Department of Mathematical Sciences, United States Air Force Academy, Colorado Springs, CO 80840, USA.
Bioanalysis. 2021 Aug;13(15):1177-1182. doi: 10.4155/bio-2021-0054. Epub 2021 Aug 6.
Robust surveillance testing is a key strategic plan to prevent COVID-19 outbreaks and slow the spread of the SARS-CoV-2 pandemic; however, limited resources, facilities and time often impair the implementation of a widespread surveillance effort. To mitigate these resource limitations, we employed a strategy of pooling samples, reducing reagent cost and processing time. Through utilizing academic faculty and labs, successful pooled surveillance testing was conducted throughout Fall 2020 semester to detect positive SARS-CoV-2 infections in a population of 4400 students. During the semester, over 25,000 individual COVID status evaluations were made by pooling eight individual samples into one quantitative reverse transcription polymerase chain reaction. This pooled surveillance strategy was highly effective at detecting infection and significantly reduced financial burden and cost by $3.6 million.
强大的监测检测是预防 COVID-19 爆发和减缓 SARS-CoV-2 大流行传播的关键战略计划;然而,有限的资源、设施和时间常常会影响广泛监测工作的实施。为了缓解这些资源限制,我们采用了样本合并的策略,降低了试剂成本和处理时间。通过利用学术教员和实验室,我们在 2020 年秋季整个学期成功地进行了合并监测检测,以检测 4400 名学生中的 SARS-CoV-2 阳性感染。在这一学期中,通过将 8 个个体样本合并为一个定量逆转录聚合酶链反应,共进行了超过 25000 次个体 COVID 状态评估。这种合并监测策略在检测感染方面非常有效,通过节省 360 万美元显著减轻了经济负担和成本。