Effects of social distancing and isolation on epidemic spreading modeled via dynamical density functional theory

HIGHLIGHTS

• who: Michael te Vrugt from the Center for Soft Münster, Münster, Germany have published the research work: Effects of social distancing and isolation on epidemic spreading modeled via dynamical density functional theory, in the Journal: NATURE COMMUNICATIONS NATURE COMMUNICATIONS
• what: The phase diagram predicted by the model shows that, at parameter values corresponding to certain strengths and ratios of social distancing and self-isolation, the system undergoes a phase transition to a state where the spread of the pandemic is suppressed. The advantage of the model compared to the standard SIR theory is . . .
  

   

  

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