ABSTRACT
The progress of the COVID-19 pandemic profoundly impacts the health of communities around the world, with unique effects on colleges and universities. Here, we examined the prevalence of SARS-CoV-2 in 1808 asymptomatic individuals on a university campus in California, and compared for the first time the performance of CRISPR- and PCR-based assays for large-scale virus surveillance. Our study revealed that there were no COVID-19 cases in our study population in May/June of 2020. Using the same methods, we demonstrated a substantial shift in prevalence approximately one month later, which coincided with changes in community restrictions and public interactions. This increase in prevalence, in a young and asymptomatic population, indicated the leading wave of a local outbreak, and reflected the rising case counts in the surrounding county. Our results substantiate that large, population-level asymptomatic screening using CRISPR- or PCR-based assays is a feasible and instructive aspect of the public health approach within large campus communities.
ABSTRACT
The COVID-19 pandemic has created massive demand for widespread, distributed tools for detecting SARS-CoV-2 genetic material. The hurdles to scalable testing include reagent and instrument accessibility, availability of highly-trained personnel, and large upfront investment. Here we showcase an orthogonal pipeline we call CREST (Cas13-based, Rugged, Equitable, Scalable Testing) that addresses some of these hurdles. Specifically, CREST pairs commonplace and reliable biochemical methods (PCR) with low-cost instrumentation, without sacrificing detection sensitivity. By taking advantage of simple fluorescence visualizers, CREST allows for a binary interpretation of results. CREST may provide a point- of-care solution to increase the distribution of COVID-19 surveillance.
