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Are college campuses superspreaders? A data-driven modeling study.

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Summary
This summary is machine-generated.

College campuses can become COVID-19 hotspots, with outbreaks spreading to nearby communities. Early instruction periods pose high risks, necessitating strict public health measures for safe reopening.

Keywords:
COVID-19CoronavirusSEIR modelepidemiologymachine learning

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Area of Science:

  • Epidemiology
  • Mathematical Modeling
  • Public Health

Background:

  • Colleges faced challenges reopening during the COVID-19 pandemic.
  • Campus outbreaks and their community impact were not well understood.

Purpose of the Study:

  • To analyze the risk of COVID-19 outbreaks in colleges during reopening.
  • To investigate the spread of infections from campuses to surrounding communities.

Main Methods:

  • Integrated a mathematical epidemiology model with Bayesian learning.
  • Analyzed daily case reports from 30 colleges to determine dynamic reproduction numbers.

Main Results:

  • 14 of 30 colleges experienced infection spikes within two weeks of reopening, exceeding national peaks.
  • 17 campus outbreaks led to increased infections in their home counties within two weeks.
  • Colleges can act as superspreaders to neighboring communities.

Conclusions:

  • The initial weeks of college instruction are a high-risk period for COVID-19 outbreaks.
  • Colleges can significantly contribute to community transmission.
  • Test-trace-quarantine strategies, flexible online options, and regulatory compliance are vital for safe reopening.