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SARS-CoV-2 transmission in university classes.

William Ruth1, Richard Lockhart1

  • 1Department of Statistics and Actuarial Science, Simon Fraser University, Burnaby, BC Canada.

Network Modeling and Analysis in Health Informatics and Bioinformatics
|September 5, 2022
PubMed
Summary

To prevent large SARS-CoV-2 outbreaks, aggressively move large classes online. Symptomatic individuals are key drivers of transmission, informing disease control strategies.

Keywords:
Disease modellingIndividual-level modelsNetwork analysisStochastic simulation

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Area of Science:

  • Epidemiology
  • Network Science
  • Public Health

Background:

  • Understanding SARS-CoV-2 transmission dynamics is critical for effective public health interventions.
  • University campuses present unique challenges for disease control due to dense populations and social interactions.

Purpose of the Study:

  • To investigate SARS-CoV-2 transmission dynamics within a university class network.
  • To evaluate the effectiveness of class size thresholding as a mitigation strategy.
  • To identify key drivers of outbreak size in an academic setting.

Main Methods:

  • Simulated outbreaks over one semester on a real university class network.
  • Employed regression trees to analyze the impact of disease parameters on simulation outcomes.
  • Varied parameters including class size thresholds for moving courses online.

Main Results:

  • An aggressive class size thresholding strategy is necessary to mitigate large outbreaks.
  • Transmission by symptomatic individuals significantly drives the size of outbreaks.
  • The study identified specific parameters influencing transmission and outbreak potential.

Conclusions:

  • Implementing strict class size limits and moving large classes online can effectively reduce SARS-CoV-2 spread.
  • Targeting interventions towards symptomatic individuals is crucial for outbreak control.
  • Findings offer guidance for developing targeted disease monitoring and resource allocation strategies at educational institutions.