Piloting an integrated SARS-CoV-2 testing and data system for outbreak containment among college students: A prospective cohort study

PLoS One. 2021 Jan 26;16(1):e0245765. doi: 10.1371/journal.pone.0245765. eCollection 2021.

Abstract

Background: Colleges and universities across the country are struggling to develop strategies for effective control of COVID-19 transmission as students return to campus.

Methods and findings: We conducted a prospective cohort study with students living on or near the UC Berkeley campus from June 1st through August 18th, 2020 with the goal of providing guidance for campus reopening in the safest possible manner. In this cohort, we piloted an alternative testing model to provide access to low-barrier, high-touch testing and augment student-driven testing with data-driven adaptive surveillance that targets higher-risk students and triggers testing notifications based on reported symptoms, exposures, or other relevant information. A total of 2,180 students enrolled in the study, 51% of them undergraduates. Overall, 6,247 PCR tests were administered to 2,178 students over the two-month period. Overall test positivity rate was 0.9%; 2.6% of students tested positive. Uptake and acceptability of regular symptom and exposure surveys was high; 98% of students completed at least one survey, and average completion rate was 67% (Median: 74%, IQR: 39%) for daily reporting of symptoms and 68% (Median: 75%, IQR: 40%) for weekly reporting of exposures. Of symptom-triggered tests, 5% were PCR-positive; of exposure-triggered tests, 10% were PCR-positive. The integrated study database augmented traditional contact tracing during an outbreak; 17 potentially exposed students were contacted the following day and sent testing notifications. At study end, 81% of students selected their desire "to contribute to UC Berkeley's response to COVID-19" as a reason for their participation in the Safe Campus study.

Conclusions: Our results illustrate the synergy created by bringing together a student-friendly, harm reduction approach to COVID-19 testing with an integrated data system and analytics. We recommend the use of a confidential, consequence-free, incentive-based daily symptom and exposure reporting system, coupled with low-barrier, easy access, no stigma testing. Testing should be implemented alongside a system that integrates multiple data sources to effectively trigger testing notifications to those at higher risk of infection and encourages students to come in for low-barrier testing when needed.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • COVID-19 / diagnosis*
  • COVID-19 / epidemiology
  • COVID-19 / prevention & control
  • COVID-19 Nucleic Acid Testing
  • California / epidemiology
  • Cohort Studies
  • Communicable Disease Control
  • Contact Tracing
  • Humans
  • Prospective Studies
  • SARS-CoV-2 / isolation & purification*
  • Students*
  • Surveys and Questionnaires
  • Universities

Grants and funding

Funding for this research was provided by anonymous donors to the University of California, Berkeley. The funder provided support in the form of salaries for authors LP, LH, SF and YL, but did not have any additional role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript. The specific roles of these authors are articulated in the ‘author contributions’ section. Please also note the following: • None of the costs or authors’ salaries were funded, in whole or in part, by a tobacco company; • The donors do not have any competing interests in relation to this research; • The identity of the donors is in no way relevant to the revewiers’ assessment of the validity of the work; • The authors are not aware of any competing interests of the donors.