[Pre-print, not peer reviewed] <\/i>A SARS-CoV-2 transmission model parametrized to the University of California, Berkeley community found that an approach combining group size limits, rapid symptom-based isolation and contact tracing, and targeted high frequency asymptomatic surveillance testing offers the most cost-effective outbreak control. The model suggests reducing group sizes to a maximum of 12 greatly reduces the chances of superspreader events. Targeting high-risk populations, such as students living in high-density housing, with biweekly surveillance testing that prioritizes turnaround time over test sensitivity, was effective in overcoming the challenge of asymptomatic infections.<\/p>\n
Brook et al. (Nov 16, 2020). Optimizing COVID-19 Control with Asymptomatic Surveillance Testing in a University Environment. Pre-print downloaded Nov 17 from <\/i>https:\/\/doi.org\/10.1101\/2020.11.12.20230870<\/a>\u00a0<\/span><\/i><\/p>\n","protected":false},"excerpt":{"rendered":" [Pre-print, not peer reviewed] A SARS-CoV-2 transmission model parametrized to the University of California, Berkeley community found that an approach combining group size limits, rapid symptom-based isolation and contact tracing, and targeted high frequency asymptomatic surveillance testing offers the most cost-effective outbreak control. The model suggests reducing group sizes to a maximum of 12 greatly…<\/p>\n