Sorting out assortativity: when can we assess the contributions of different population groups to epidemic transmission?

HIGHLIGHTS

• What: The authors evaluate the performance of the estimator through diverse simulations, mimicking nosocomial outbreaks where the populations are fully susceptible at the outbreak`s onset. To quantify transmission assortativity, the authors examine the person-to-person transmission patterns. The authors evaluate 4 significance levels 0.05, 0.1, 0.25 and 0.5. Despite these limitations, this study provides valuable insights into when the role of different groups in infectious disease transmission can be reliably identified in small outbreak settings, such as nosocomial outbreaks.
• Who: Cyril Geismar and colleagues from the College School of . . .
  

   

  

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