About: We develop an agent-based model on a network meant to capture features unique to COVID-19 spread through a small residential college. We find that a safe reopening requires strong policy from administrators combined with cautious behavior from students. Strong policy includes weekly screening tests with quick turnaround and halving the campus population. Cautious behavior from students means wearing facemasks, socializing less, and showing up for COVID-19 testing. We also find that comprehensive testing and facemasks are the most effective single interventions, building closures can lead to infection spikes in other areas depending on student behavior, and faster return of test results significantly reduces total infections.   Goto Sponge  NotDistinct  Permalink

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  • We develop an agent-based model on a network meant to capture features unique to COVID-19 spread through a small residential college. We find that a safe reopening requires strong policy from administrators combined with cautious behavior from students. Strong policy includes weekly screening tests with quick turnaround and halving the campus population. Cautious behavior from students means wearing facemasks, socializing less, and showing up for COVID-19 testing. We also find that comprehensive testing and facemasks are the most effective single interventions, building closures can lead to infection spikes in other areas depending on student behavior, and faster return of test results significantly reduces total infections.
subject
  • Zoonoses
  • Epidemiology
  • Simulation
  • Infectious diseases
  • Viral respiratory tract infections
  • COVID-19
  • Artificial life
  • Complex systems theory
  • Methods in sociology
  • Models of computation
  • Multi-agent systems
  • Occupational safety and health
  • Scientific modeling
  • Systems theory
  • Types of university or college
  • Infectious disease blood tests
  • Medical responses to the COVID-19 pandemic
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