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Impact of university re-opening on total community COVID-19 burden

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  • Lauren E Cipriano
  • Wael M R Haddara
  • Gregory S Zaric
  • Eva A Enns

Abstract

Background: University students have higher average number of contacts than the general population. Students returning to university campuses may exacerbate COVID-19 dynamics in the surrounding community. Methods: We developed a dynamic transmission model of COVID-19 in a mid-sized city currently experiencing a low infection rate. We evaluated the impact of 20,000 university students arriving on September 1 in terms of cumulative COVID-19 infections, time to peak infections, and the timing and peak level of critical care occupancy. We also considered how these impacts might be mitigated through screening interventions targeted to students. Results: If arriving students reduce their contacts by 40% compared to pre-COVID levels, the total number of infections in the community increases by 115% (from 3,515 to 7,551), with 70% of the incremental infections occurring in the general population, and an incremental 19 COVID-19 deaths. Screening students every 5 days reduces the number of infections attributable to the student population by 42% and the total COVID-19 deaths by 8. One-time mass screening of students prevents fewer infections than 5-day screening, but is more efficient, requiring 196 tests needed to avert one infection instead of 237. Interpretation: University students are highly inter-connected with the surrounding off-campus community. Screening targeted at this population provides significant public health benefits to the community through averted infections, critical care admissions, and COVID-19 deaths.

Suggested Citation

  • Lauren E Cipriano & Wael M R Haddara & Gregory S Zaric & Eva A Enns, 2021. "Impact of university re-opening on total community COVID-19 burden," PLOS ONE, Public Library of Science, vol. 16(8), pages 1-16, August.
  • Handle: RePEc:plo:pone00:0255782
    DOI: 10.1371/journal.pone.0255782
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    Cited by:

    1. Brian Liu & Yujia Zhang & Shane G. Henderson & David B. Shmoys & Peter I. Frazier, 2024. "Modeling the Risk of In-Person Instruction During the COVID-19 Pandemic," Interfaces, INFORMS, vol. 54(6), pages 537-552, November.

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